Location: Cincinnati

Travel Required: 2-3 times yearly 

Job Summary 

The Data Science team at PatientPoint works on business problems across the enterprise, such as provider growth, pricing, operations, marketing, campaign measurement, and customer attrition. As a Data Scientist, you’ll impact the organization by creating data products that synthesize available data into useful predictions, enable manual processes to be automated, and provide digestible information for human-in-the-loop decisions. 

What You’ll Do  

• In this role, you’ll work with a cross-functional team to enhance PatientPoint’s durable provider growth strategy.  
• You’ll be a core member of the team responsible for modeling the value of providers in the market and creating data pipelines that prioritize recruitment.  
• To be successful, you’ll develop a deep understanding of the goals and constraints of the provider growth team and leverage machine learning, analysis, and data storytelling techniques to move the business towards its goals.  
• To stay organized, you’ll work in Git, participate in code reviews, and keep your work documented (Jira, Confluence, READMEs). 
• To maximize impact, you’ll proactively share insights with your cross-functional collaborators and data science team.   

What We Need  

• Bachelors degree in Applied Statistics, Computer Science, Operations Research, Business Analytics, Information Systems or a related field.
• 2+ years of related data science experience developing data products, deploying models to production, and delivering analyses to internal and external stakeholders. 
  • Candidates will be asked to provide examples from their previous experience and/or complete a project using analytics to create actionable insights.  
• Fluency in Python and SQL, with end-to-end data stack experience including manipulation, analysis, visualization, model deployment, and pipeline orchestration. 
• Strong working knowledge of machine learning and data science methods including model training, model validation and selection, backtesting, and statistical testing. 
• Experience taking models from development to production, monitoring performance, and iteratively improving over time. 
• Strong communication skills and a collaborative attitude for working with stakeholders. 

Desired Qualifications  

• Masters or doctoral degree in Applied Statistics, Computer Science, Operations Research, Business Analytics, Information Systems or a related field . 
• Professional experience in healthcare, pharmaceutical, and digital advertising industries. 
• Strong grasp of MLOps practices and software engineering principles. 
• Experience with Snowflake, Airflow, HEX, Cursor, Claude Code. 

What You'll Need to Succeed  

• Curious self-learner that enjoys staying current on emerging methods and trends and sharing with the team and others around them. 
• Highly self-motivated and self-directed. 
• Critical thinking with the ability to identify and scope and solve ambiguous problems in a fast-paced environment. 
• The ability to empower others through data storytelling - translating complex data findings into compelling narratives. Comfortable not only presenting the data but also explaining the insights in a context that resonates with the audience.  
• Strong interpersonal, communication, and consulting skills. Ability to establish and maintain successful cross functional relationships and collaborate closely with multiple teams including engineering, product management, and business stakeholders.  
• Enthusiasm for responding to a dynamic range of questions and analytical challenges.   

#LI-ED1 #LI-Hybrid

Lead Technical Product Manager(G3) 

LOCATION: Chicago/Cincinnati 

COMPANY OVERVIEW: 

84.51° knows customers, and we know how to connect you.  

Using a sophisticated, proprietary suite of tools and technology, we turn customer data into actionable knowledge. With unparalleled customer data and predictive analytics capabilities, we deliver personalized marketing strategies and ensure the best experience for customers of Kroger and more than 300 consumer-packaged-goods companies. We put the customer at the center of everything we do, resulting in a more dynamic, informed and personal approach to driving customer loyalty. 

SUMMARY:  

The AI Enablement team builds foundational AI capabilities that transform Kroger and 84.51, including better solutions and outcomes for our shoppers and our associates. AI Gateway is a cross-functional team within AI Enablement responsible for the primary AI model and API infrastructure that powers these solutions and democratizes access to AI across the org. As the Product Manager for this team, you will work closely with the Director of Product, Tech Leads for the AI Gateway, and cross-functional design and development teams. 

The LEAD PRODUCT MANAGER is the chief navigator, business champion, and team linguist that is accountable for setting team priorities and maximizing the value of the product results from the work of the development team. You own the details of the business and technical value delivered at the team level. You translate business requirements into product requirements to ensure that the product delivers on user needs. You own the measurement of the value delivered and other metrics for your product. This role requires excellent organizational and communication skills, technical acumen, and artificial intelligence domain knowledge. 

RESPONSIBILITIES:  

• Drive business value for the team by prioritizing and ordering product backlog items based on the product roadmap, inclusive of product, engineering, UX and data science roadmaps. 
• Experienced in managing multiple teams’ product backlogs in parallel and ensuring they’re transparent, visible and clearly communicated.
• Partner with cross-functional engineering, UX and data science peers to translate business desires/requirements into effective features and stories that are ready for development.
• Outlines clear acceptance criteria, to clearly communicate the definition of “done”.
• Partner with external contractors or technical support to ensure the delivery of the scope of work, within the agreed timeline, and in accordance to the stated acceptance criteria.
• Deep understanding of the business domain, stakeholders, business processes and constraints in which your product(s) play 
• Deep understanding of customers/users’ problems, how they think and operate and the platforms/technology they use. Ability to become familiar with new technology, business domains, and/or analytical practices that impact your product(s). 
• Understand and communicate organization objectives, strategies and solution needs to the team to facilitate results (where collaborative/as colleague)
• Manage and communicate dependencies and risks.
• Stakeholder management – experienced in building and managing internal and external stakeholder relationships to influence and drive change.
• Experienced level knowledge in the development and use of product data to influence product decisions/roadmap – both quantitative and qualitative.
• Clearly communicate the value of the work being delivered

QUALIFICATIONS, SKILLS, AND EXPERIENCE:  

• Professional work experience in artificial intelligence / Generative AI applications.
• Experience managing and/or developing an API-based product or developer tooling.
• Experience managing and/or developing cloud-based solutions in Azure or Google Cloud.
• Experience scaling apps or systems to meet high-availability and resiliency requirements for critical internal and customer facing solutions.
  • Experience managing and/or working on a team that deploys AI/ML models in cloud-based settings.
  • Technical acumen – possess the foundational technical knowledge needed to communicate with the technical team, understand blockers/trade-offs, and incorporate technical needs in the roadmap.
  • Experience navigating corporate governance processes including Security, Cloud, Privacy, Data Sharing, and Legal.
• Skilled in managing cross-functional software development teams in an agile environment
• Skilled in managing business priorities against design/user needs while delivering against product roadmaps
• Skilled in managing end-to-end software product development.
• Stakeholder management skills – experienced in building and managing stakeholder relationships to influence and drive change.
• Problem solving, critical thinking and analytical skills
• Planning, organizational and time management skills
• Comfort with ambiguity – remains confident, positive and resourceful in the face of ambiguity and unexpected results; recovers quickly from setbacks.
• Exhibits qualities of and have proven to be a great teammate
• Verbal and written communication skills, ability to translate between business and technical
• 4-6 years relevant experience
• Education: Bachelor’s degree or equivalent experience

ADDITIONAL SKILLS OF INTEREST (NOT REQUIRED) 

• Prior experience as a software engineer or Technical Product Manager – many of our customers are software engineers and data scientists.
• Experience leveraging various Generative AI chat tools (ie M365 Copilot, ChatGPT, Gemini, Claude) to simplify your life, work, or otherwise automate processes and accomplish previously impossible things. 
• Experience developing AI Agents using an agent builder or agent framework.
• Experience developing or using MCP servers.
• Experience using coding agents (ie Claude Code, Codex, Gemini CLI, Github Copilot).

What You’ll Do:

You will be a key member of the Infrastructure Operations team, a group responsible for the uptime, reliability, and strategic growth of CoreWeave's physical data center footprint. You will work closely with fellow engineers, data center operations technicians, and management to ensure our facilities meet the highest standards of performance and availability.

About the role: In this role, you will oversee the day-to-day infrastructure operations of our data center facilities, ensuring the robust performance of all mechanical, electrical, and plumbing (MEP) systems. Your responsibilities will include managing preventative and corrective maintenance programs, engaging with colocation vendors to enforce SLAs, and acting as a technical resource during incident response and resolution. You will be a critical voice in ensuring our physical infrastructure scales seamlessly to support CoreWeave's rapid growth, translating hands-on experience into operational excellence.

Who You Are:

• 5+ years of hands-on experience in critical facility operations, with direct experience managing or operating a data center.
• Strong technical understanding of data center MEP infrastructure, including electrical distribution, mechanical cooling systems, and building management/automation systems (BMS/EPMS).
• Demonstrated experience writing and reviewing Root Cause Analysis (RCA) documents for critical incidents.
• Proficiency in analyzing data center redundancy configurations (N, N+1, 2N) and identifying operational risks.
• Familiarity with industry standards and codes such as NEC, NFPA, IEEE, and ASHRAE.
• Experience participating in maintenance, upgrades, and expansions of live data center environments.
• Willingness to travel up to 40% and participate in an on-call rotation for emergency response.

Preferred:

• Experience with data center design or the commissioning (Cx) of critical facilities.
• Experience managing maintenance programs through a preventative maintenance system (CMMS).
• History of successfully insourcing or outsourcing specific maintenance tasks based on operational needs.

Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk.

• You love solving complex problems within critical environments and thrive on ensuring everything runs smoothly.
• You’re curious about how to maintain stability and operational excellence amidst rapid scale and technological evolution.
• You’re an expert in hands-on data center operations, translating past experiences (including those middle-of-the-night calls) into proactive improvements.

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!

The base salary range for this role is $143,000 to $191,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

What You’ll Do

CoreWeave is the AI Hyperscaler™, delivering a cloud platform of cutting-edge services powering the next wave of AI. Our technology supports enterprises and leading AI labs with resilient, efficient, and high-performance solutions for accelerated computing. With a rapidly expanding global data center footprint, CoreWeave is consistently recognized for innovation and industry leadership.

As a Regional Inventory Control Manager, you will lead the inventory control program across a cluster of data centers and 1PL locations within your region. You will be accountable for regional inventory accuracy, discrepancy aging, audit readiness, and the performance and development of the Inventory Control Specialists (ICS) and site IC leads under your span.

You will turn standards and playbooks into day‑to‑day execution at sites, ensuring that serialized assets, spares, and project materials are controlled with hyperscaler‑grade rigor.

Core duties:

• Own regional inventory accuracy, discrepancy aging, and audit outcomes for Inventory Control.
• Lead, coach, and develop Inventory Control Specialists (ICS) and site IC leads across multiple data centers and 1PL locations.
• Standardize and enforce inventory control SOPs, cycle count programs, and reconciliation routines across your region.
• Partner with Data Center Operations, Global Logistics, Finance, and Security to ensure SOX‑ready controls, clean handoffs, and clear accountabilities.
• Use data and KPIs to identify gaps, drive corrective actions (RCA/CAPA), and deliver measurable improvements in control, speed, and quality.

About the Role

We are looking for a hands‑on regional manager who can move comfortably between the floor and leadership rooms. You will spend time with ICS teams at sites, in the systems (NetSuite, asset tools, WMS), and in reviews with DC Ops and Finance.

This is a people‑leadership role with regional scope and strong cross‑functional influence. You will shape how CoreWeave protects billions of dollars of assets, from initial receipt through their lifecycle in our data centers.

Team Leadership and Development

• Directly manage Inventory Control Specialists and/or Area IC Managers across your region.
• Own hiring, onboarding, training, and performance reviews for IC roles in your span.
• Build a strong IC culture around accuracy, documentation, safety, and cross‑functional partnership.
• Identify high‑potential ICs and develop them into leads/supervisors to improve span of control at large or complex sites.

Operational Execution and Standards

• Ensure consistent implementation of IC SOPs, policies, and MFCP/5S standards across all sites in your region.
• Monitor daily IC activities (receiving controls, tagging, binning, moves, cycle counts, RMAs, documentation) via system reports and site reviews.
• Partner with DC Ops leads to align work order consumption, spares flows, and floor‑ready material control with IC routines.

Inventory Control, Counts, and Reconciliation

• Own the regional cycle count and physical inventory schedule, making sure all required counts are executed on time and to standard.
• Review variance reports, drive investigation quality, and ensure discrepancies are closed within SLA (e.g., 7–14 days depending on severity).
• Ensure that NetSuite, asset systems, and any WMS reflect accurate, reconciled inventory positions across your sites.
• Coordinate with Finance and Audit on annual physicals, SOX testing, and remediation.

Governance, KPIs, and Continuous Improvement

• Define and manage regional IC KPIs, including:
• Inventory accuracy (by count and value)
• Discrepancy aging (median, P90)
• Investigation closure rate within SLA
• Audit findings (count, severity, and on‑time closure)
• Run regular regional IC reviews with DC Ops, Finance, and GLO leadership; publish KPI packs and action plans.
• Identify systemic issues (e.g., labeling, process gaps, tooling pain points) and lead regional improvement initiatives in partnership with the Global IC Program Manager and GLO.

Cross‑Functional Collaboration

• Serve as the primary IC point of contact for your region with:
• Data Center Operations leadership
• Global Logistics (warehousing, transportation, 3PL / 1PL)
• Finance/Accounting and Audit
• Security and EHS, where IC touches physical controls
• Ensure clear RACI and escalation paths for IC issues (e.g., missing assets, documentation gaps, SOX concerns).

Qualifications

Must‑Have

• 7+ years in inventory control, asset management, or logistics/warehouse operations, with multi‑site or regional scope.
• Proven people leadership experience, managing IC, warehouse, or logistics teams (direct reports) across one or more sites.
• Deep understanding of serialized inventory control: cycle counts, physicals, reconciliations, discrepancy investigation, and documentation.
• Experience working in ERP and asset tools (e.g., NetSuite, Snipe‑IT or similar), with comfort pulling and interpreting operational reports.
• Demonstrated ability to read, interpret, and enforce SOPs and control frameworks (SOX or similar).
• Strong communication skills; able to align IC teams, DC Ops, Finance, and leadership around targets and corrective actions.
• Willingness and ability to travel frequently within your region.

Preferred

• Experience in data center, cloud, AI infrastructure, or other high‑value hardware environments.
• Familiarity with SOX §404 or other regulated inventory environments.
• Exposure to Lean, 5S, or continuous improvement methods in an operations context.
• Bachelor’s degree in Supply Chain, Logistics, Business, Industrial Engineering, or related field (or equivalent experience).

Tools and Systems

• ERP (e.g., NetSuite or similar) and asset management tools
• Cycle count and inventory reporting solutions
• Standard BI / reporting tools and office productivity suites

Wondering If You’re a Good Fit?

You might thrive in this role if:

• You care deeply about accuracy and controls, and you like seeing clean data match reality on the floor.
• You enjoy coaching site teams, visiting locations, and turning global standards into simple, repeatable routines.
• You are comfortable using data to tell a story, arguing for headcount or process change with facts, and then tracking outcomes over time.

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast. We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning.

Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems.

As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!

Compensation

The base salary range for this role is $85,000 to $105,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation.

In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

What You’ll Do:

The Technical Project Management team at CoreWeave is the operational engine supporting the global build-out and fit-out of our physical infrastructure. As our site footprint expands exponentially, this team manages the critical transition from capacity planning to live operations. TPMs are responsible for managing multiple large-scale projects with aggressive timelines, ensuring that every data center is delivered on time, within scope, and ready for high-performance AI workloads.

About the Role:

As a Technical Project Manager, you will manage the execution of massive infrastructure projects, taking sites from signing through to day 2 operations. You will lead the delivery and installation of critical hardware, cabling, and network systems, working in a fast-paced environment where timelines are often fluid and expedited. Your mission is to ensure that project blockers are removed and that infrastructure is deployed to CoreWeave's exacting standards.

In this role, you will:

• Project Planning and Execution: Lead the full lifecycle of multiple simultaneous data center deployment projects, including design, construction, testing, commissioning, and handover to operations.
• Stakeholder Management: Act as the primary point of contact for stakeholders, including clients, vendors, contractors, and internal teams. Facilitate clear communication and collaboration across all parties involved and hold meetings with your vendors and site to meet timelines.
• Resource Management: Effectively manage and allocate resources (teams, tools, budget), ensuring that all project phases are adequately staffed and equipped to meet fast-paced timelines.
• Risk Management: Identify potential project risks, create mitigation strategies, and proactively address issues to minimize disruptions to project timelines.
• Scheduling & Budgeting: Develop and maintain project schedules, budgets, and resource plans, ensuring projects are delivered within agreed contractual constraints.
• Quality Assurance: Ensure that all data center deployments meet technical and quality standards, including compliance with industry best practices and local regulations.
• Documentation: Maintain comprehensive project documentation, including design documents, and give regular progress reports.
• Technical Oversight and Collaboration: Provide technical guidance to teams, in collaboration with experts, on best practices for data center design and deployment, including considerations for power, cooling, networking, and physical security.
• Continual Improvement: Identify opportunities to optimize processes and improve operational efficiency. Implement best practices and innovative solutions to enhance data center operations.
• Project Oversight: Travel to up to 60% of data center locations to monitor progress, troubleshoot issues, and ensure smooth project execution. Coordinate with local teams, contractors, and vendors during on-site visits.

Who You Are:

• 6+ years of demonstrated experience in data center deployment, infrastructure project implementation, or technical project management within a data center environment.
• Project Management Skills: Proven ability to successfully manage complex technical projects from initiation to completion, utilizing a strong understanding of project management methodologies and tools.
• Data Center Operations: In-depth technical knowledge of data center infrastructure, including servers, storage, networking, power, and cooling systems. Demonstrated familiarity with data center best practices and industry standards.
• Leadership and Communication: Demonstrated ability to lead and manage teams, coupled with strong communication and interpersonal skills for effective collaboration with cross-functional teams and stakeholders.
• Problem Solving: Exceptional ability to analyze complex technical issues, troubleshoot problems, and propose innovative solutions, supported by strong decision-making and critical-thinking abilities.
• Compliance and Security: Familiarity with industry standards (e.g., TIA-942, Uptime Institute, ASHRAE), data center compliance requirements, security protocols, and risk management practices.
• Flexibility and Adaptability: Proven ability to prioritize tasks, adapt to changing requirements, and perform effectively in a fast-paced, dynamic environment.
• Willingness and ability to travel up to 60% to data center locations to support project execution, sometimes on short notice.
• Education: A Bachelor’s degree in Computer Science, Information Technology, or a related technical field, or equivalent practical experience. Relevant professional certifications (e.g., PMP, PRINCE2, ITIL, CDCP, CDCS, or similar) are a plus.

Preferred:

• Experience with High-Performance Computing (HPC) or AI-specific infrastructure.
• Familiarity with liquid-to-chip cooling technologies and advanced data center redundancy protocols.

Wondering if you’re a good fit?

We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk.

• You love to manage the full lifecycle of complex technical projects in high-growth environments.
• You’re curious about the future of computing and interested in learning about HPC and AI infrastructure.
• You’re an expert at navigating ambiguity and thriving in a startup culture where "chaos" is turned into order.
• You are comfortable with significant travel, averaging 3 days per week to various project sites.

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!

The base salary range for this role is 122,000 to $163,000. The starting salary will be determined by job-related knowledge, skills, experience, and the market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

Our mission: to enable businesses to grow and reimagine themselves by becoming advocates and champions for their Customers. With deep heritage and expertise in retail – one of the world’s most competitive markets, with a deluge of multi-dimensional data – dunnhumby today enables businesses all over the world, across industries, to be Customer First.

Job Title: Senior Applied Data Scientist

Job Location: 3825 Edwards Road, #600, Cincinnati, OH 45209 (May work remotely)

Job Duties:

WHY I DO MY JOB | Job purpose

To lead and execute projects to distil complex problems into compelling insights, using the best of dunnhumby science and making recommendations that resonate with clients and lead them to action. May telecommute 100% of the time from their home office, consistent with dunnhumby’s remote work policy.

WHAT I DO | Key accountabilities

• Build strong relationships with internal contacts & external clients to ensure full understanding of client challenges, growth strategy and agreed measures of success for the project.
• Investigate and implement the most appropriate analytical technique for each project, role modelling the re-use & further development of global solutions or code written by others.
• Deploy data science algorithms and market products on chosen tech stack for efficient and cost-effective delivery.
• Identify opportunities to grow client engagement by proactively solving client’s strategic questions, using a mix of products and advanced data science techniques that support executive decision making and calls to action.
• Participate in client meetings as required to present methodology and solutions through effective story telling techniques.
• Work closely with global products team to provide market feedback for enhancing an existing product offering or augmenting the catalogue with a market-based product that can become global offering.
• Ensure smooth running of your data analytics projects and support junior team members with their projects.
• Lead by example by following dunnhumby Quality Assurance processes, ways of working and coding standards.
• Provide advice and support to colleagues to resolve challenges and support code reviews.

Job requirements:

• Bachelor’s degree (or foreign educational equivalent) in Computer Science, Mathematics, Applied Statistics, Engineering or related field.
• In addition to the degree, must have at least 4 years of experience in each of the following:
• Software development, utilizing methodologies and tools such as Agile (Scrum Master) and Code Merge, and programming in languages including PySpark, Python, Flask/Dash, C++, and HTML; and
• Quality Assurance (QA) and Testing, including the development, execution, and maintenance of automated and manual testing frameworks.

Within this, must have at least 2 years of experience in each of the following:

• Handling large data volumes with modern data processing tools, e.g. by using Hadoop, Spark, SQL, and Python;
• Data Interpretation and Insight Analysis; performing data interpretation, insight generation, and analytical analysis to support business and technical decision-making;
• Programming experience on any standard data mining and modelling packages such as Python and R; and
• Applying advanced statistical models and machine learning algorithms to develop and implement solutions to complex analytical and business problems.

About the Role

We are looking for a Group Director, Martech Consulting to lead VML's Adobe Experience Manager Assets and Digital Asset Management practice as its most senior strategic and technical authority. This is a high-impact leadership role at the intersection of creative operations, content strategy, and enterprise technology — responsible for defining how organisations manage, govern, and activate their most valuable creative assets at scale.

As Group Director, you will own the end-to-end strategic vision for DAM across VML's enterprise client portfolio — spanning AEM Assets architecture, metadata and taxonomy design, Dynamic Media implementation, Brand Portal configuration, and the governance frameworks that underpin sustainable, scalable DAM ecosystems. You will be equally at home advising a CMO on content supply chain strategy and guiding a technical team through a complex DAM migration.

This role demands a rare combination of deep platform expertise, creative operations understanding, and senior consulting leadership — and represents a genuine opportunity to shape one of the most strategically important capability areas in enterprise marketing technology.

This position requires a minimum of 4 days per week in-office to facilitate collaboration and team development, with travel to client sites as required.

The Impact You'll Make

• Define and lead VML's strategic approach to AEM Assets and enterprise DAM across a portfolio of complex, high-value client engagements
• Serve as the most senior DAM authority at VML — advising clients, leading pitches, and shaping how the practice grows and evolves
• Own the technical and strategic integrity of DAM implementations — from governance framework design through to metadata architecture, Dynamic Media configuration, and Brand Portal deployment
• Build, develop, and inspire a specialist team of DAM consultants and digital asset management professionals
• Drive business growth — identifying new opportunities, leading proposals, and positioning VML as the partner of choice for enterprise DAM transformation
• Establish VML as a recognised leader in AEM Assets delivery and digital asset management strategy

Core Responsibilities

Strategic Leadership & Client Advisory

• Define and own VML's strategic vision for AEM Assets and enterprise DAM consulting — setting the direction for how we design, deliver, and continuously evolve our offering
• Act as the most senior client-facing authority on DAM engagements — advising C-suite, VP, and Director-level stakeholders on platform strategy, content supply chain investment, and long-term DAM roadmap
• Lead executive-level discovery, strategy, and visioning workshops — translating complex organisational challenges around content volume, brand consistency, and asset governance into clear, actionable technology strategies
• Develop compelling business cases and ROI frameworks that articulate the strategic value of DAM investment — connecting asset management capability to content velocity, brand compliance, and operational efficiency
• Guide clients through complex solution decisions — balancing technical architecture, creative workflow requirements, organisational change, and platform scalability
• Build and maintain trusted, long-term senior client relationships that position VML as an indispensable strategic partner in content operations and digital asset management

DAM Architecture & Technical Governance

• Own the end-to-end architecture and technical governance of AEM Assets implementations at enterprise scale
• Lead the design of metadata taxonomy frameworks — defining asset classification structures, controlled vocabularies, faceted search strategies, and metadata schemas that support both operational efficiency and long-term discoverability
• Define and govern asset ingestion workflow architecture — designing scalable pipelines for bulk ingestion, automated metadata enrichment, quality validation, and asset processing across diverse source systems and formats
• Lead the strategy and implementation of rendition management — defining rendition profiles, automated processing rules, and format strategies that support multi-channel content activation without manual duplication of effort
• Govern the configuration and optimisation of Adobe Brand Portal — defining access models, distribution workflows, portal taxonomy, and user experience to support both internal teams and external agency or partner networks
• Lead the strategic design and technical implementation of Adobe Dynamic Media — including viewer configuration, image and video preset strategy, smart imaging, adaptive video delivery, and integration with downstream activation channels
• Establish and enforce DAM governance frameworks — covering asset lifecycle management, rights and usage tracking, archival and retirement policies, version control standards, and compliance with brand and legal requirements
• Define standards for AEM Assets integration with adjacent platforms — including Creative Cloud, Adobe Workfront, AEP, CMS platforms, and third-party distribution channels

Metadata, Taxonomy & Information Architecture

• Lead enterprise-scale information architecture engagements — defining the taxonomic structures, controlled vocabularies, and classification frameworks that underpin DAM discoverability and long-term scalability
• Advise clients on metadata strategy — balancing the needs of creative teams, marketing operations, legal and compliance functions, and technology stakeholders in a single, coherent metadata model
• Design automated metadata enrichment strategies — leveraging Adobe Sensei and AI-powered tagging capabilities to reduce manual metadata burden while improving asset discoverability
• Define search and findability strategies within AEM Assets — ensuring asset libraries remain navigable and efficient as content volumes grow
• Develop metadata governance protocols — establishing ownership, maintenance responsibilities, and quality assurance processes that keep taxonomy structures accurate and relevant over time

Creative Operations & Technology Bridge

• Serve as the strategic bridge between creative operations and technology teams — translating the needs of creative directors, content producers, and brand managers into technical platform requirements, and ensuring technology solutions genuinely support creative workflows
• Define content supply chain strategies that connect asset creation, management, and activation into seamless, efficient end-to-end workflows
• Lead the design of creative workflow integrations — connecting AEM Assets with Adobe Creative Cloud, Workfront, Frame.io, and other creative production tools to minimise friction and maximise asset reuse
• Advise on brand governance technology strategies — defining how DAM platforms enforce brand standards, manage approved asset libraries, and control the distribution of on-brand content across global teams and agency networks
• Develop operating model recommendations that define how creative, marketing, IT, and legal teams collaborate around asset management — including roles, responsibilities, and governance processes

DAM Governance, Rights & Compliance

• Define and lead DAM governance frameworks — establishing the policies, processes, and platform configurations that govern how assets are created, stored, maintained, activated, and retired
• Advise clients on digital rights management strategy — including usage rights tracking, licence expiry management, talent and property releases, and territorial usage restrictions
• Ensure DAM implementations support compliance with data protection regulations — including appropriate handling of personal data within asset metadata and rights records
• Develop asset lifecycle management frameworks — defining how assets move through creation, approval, active use, archival, and retirement, with appropriate automation and governance at each stage
• Lead the design of audit and reporting capabilities within AEM Assets — providing clients with visibility into asset usage, rights status, and governance compliance

Practice Development & Thought Leadership

• Define and continuously evolve VML's AEM Assets and DAM delivery methodology — building proprietary frameworks, accelerators, and toolkits that scale quality and accelerate time to value across engagements
• Contribute to external thought leadership — producing industry content, presenting at events, and shaping VML's market positioning in digital asset management, content operations, and creative technology
• Establish VML's DAM centre of excellence — creating the standards, knowledge assets, and enablement resources that underpin consistent delivery quality across the practice
• Stay ahead of Adobe AEM Assets product developments — including AI-powered asset management, Content Hub evolution, and Dynamic Media innovation — translating new capabilities into client opportunities and internal practice development
• Identify adjacent capability areas — including content supply chain automation, AI-driven asset intelligence, and integrated creative operations platforms — and develop VML's ability to deliver in these spaces
• Build VML's profile within the Adobe DAM partner ecosystem — contributing to co-innovation conversations, partner programmes, and joint go-to-market opportunities

Team Leadership & Talent Development

• Lead, mentor, and develop a growing team of AEM Assets consultants, DAM specialists, and digital asset management professionals
• Define clear career pathways and development plans that attract, retain, and grow specialist talent within the practice
• Set high standards for technical quality and delivery excellence — reviewing solution designs, governing implementations, and ensuring consistent output across all engagements
• Foster a culture of craft, curiosity, and continuous learning — keeping the team ahead of platform developments and evolving industry best practice in digital asset management
• Collaborate cross-functionally with creative operations, content strategy, technology, and media teams to deliver integrated, outcome-focused client programmes
• Formally manage a team of direct reports, providing regular performance feedback, development coaching, and clear expectations aligned to practice growth objectives

Business Development & Growth

• Lead and contribute to new business pitches and proposals for AEM Assets and broader DAM and content operations engagements
• Identify and develop organic growth opportunities within existing accounts — expanding scope, introducing adjacent capability areas, and deepening strategic relationships
• Contribute to commercial scoping and solution design — ensuring proposals are technically credible, commercially sound, and competitively differentiated
• Maintain a close working relationship with Adobe's AEM Assets, Dynamic Media, and Brand Portal product and partner teams — leveraging those relationships for co-selling opportunities, early roadmap access, and market differentiation
• Represent VML in industry forums, Adobe partner events, and client-facing thought leadership opportunities

What You'll Bring

Essential Experience

• 8+ years of experience in digital asset management, content operations technology, or martech consulting — with substantial, hands-on expertise in Adobe Experience Manager Assets
• Deep, proven expertise across the core AEM Assets and DAM capability set, including:
• Metadata taxonomy design and information architecture
• Asset ingestion workflow design and automation
• Rendition strategy and asset processing configuration
• Adobe Brand Portal configuration and governance
• Adobe Dynamic Media implementation — including viewer configuration, image and video presets, smart imaging, and adaptive video delivery
• DAM governance frameworks — covering asset lifecycle, rights management, and compliance
• Demonstrated ability to bridge creative operations and technology teams — understanding the language, priorities, and workflows of both, and designing solutions that genuinely serve both communities
• Proven track record of leading enterprise DAM transformations — from strategy and architecture through to deployment, adoption, and ongoing governance
• Demonstrated ability to operate as a senior client advisor — with the presence, credibility, and communication skills to engage and influence at VP and C-suite level
• Experience leading and developing specialist teams within a fast-paced consultancy or agency environment
• Strong understanding of content supply chain strategy — and how DAM sits within the broader ecosystem of content creation, management, and activation

Technical Proficiency

• Expert-level knowledge of Adobe Experience Manager Assets — including configuration, workflow design, metadata schema management, access control, and platform architecture
• Hands-on experience with Adobe Dynamic Media — including setup, configuration, and optimisation of image, video, and viewer capabilities
• Working knowledge of Adobe Brand Portal — including configuration, taxonomy alignment, and distribution workflow design
• Familiarity with Adobe Sensei and AI-powered asset tagging capabilities within AEM Assets
• Understanding of AEM Assets integration patterns — including Creative Cloud Libraries, Workfront, Adobe Publish, and third-party DAM connectors
• Working knowledge of metadata standards and protocols — including XMP, IPTC, Dublin Core, and schema.org as they apply to digital asset management
• Familiarity with API-based integrations and asset delivery architectures — including CDN strategy, headless asset delivery, and programmatic asset access

Nice to Have

• Adobe Certified Expert — AEM Assets or equivalent certification
• Experience with Adobe Content Hub and the evolving AEM Assets as a Cloud Service architecture
• Background in creative operations strategy, content production, or brand management technology
• Familiarity with third-party DAM platforms — including Bynder, Canto, Aprimo, or Widen — and migration experience between platforms
• Understanding of digital rights management platforms and their integration with AEM Assets
• Experience with AI-driven asset intelligence — including auto-tagging, visual search, and content similarity capabilities
• Track record in practice development, thought leadership, or business development at a senior level
• Previous experience at a leading consultancy, systems integrator, or digital agency serving enterprise clients

What Makes This Role Unique

This is a rare opportunity to lead at the convergence of creative operations, content strategy, and enterprise technology. You will be:

• Defining how enterprise organisations think about their content and creative assets — not just implementing software, but shaping the operating models, governance frameworks, and strategic investments that underpin content effectiveness at scale
• Building and leading a specialist practice with genuine influence over its direction, methodology, and market positioning within one of Adobe's fastest-evolving product areas
• Working at the intersection of creativity and technology — in a role that values both the technical depth to govern complex DAM architectures and the strategic sensibility to understand what creative teams truly need
• Playing a central role in VML's growth as a leading Adobe AEM Assets partner — with real influence over how we win, deliver, and evolve our offering in this space

Who You'll Work With

You will collaborate closely with:

• Senior client stakeholders — C-suite, VP, and Director-level marketing, creative operations, brand, and technology leads
• VML creative operations, content strategy, and martech teams — ensuring DAM solutions integrate coherently with broader content and marketing technology programmes
• Adobe AEM Assets, Dynamic Media, and Brand Portal product and partner teams — maintaining a close working relationship to stay ahead of platform developments
• AEM Assets consultants and DAM specialists — providing leadership, technical direction, and quality oversight
• VML business development and growth teams — contributing to pitches, proposals, and client expansion conversations

About the Role

We are looking for a Group Director, Martech Consulting to lead VML's Adobe Workfront practice as its most senior strategic and technical authority. This is a pivotal leadership role at the heart of our Marketing Operations capability — responsible for transforming how enterprise clients plan, execute, and govern their marketing operations through best-in-class Adobe Workfront implementations.

As Group Director, you will go beyond implementation leadership. You will own the strategic vision for how VML delivers operational excellence through technology, shaping our Workfront methodology, growing a high-performing specialist team, and positioning VML as the partner of choice for marketing operations transformation.

This role demands a rare combination of deep platform expertise, senior consulting acumen, and the leadership presence to influence clients and internal stakeholders at the highest levels. You will be the definitive voice on Workfront strategy and delivery across VML — and a key contributor to the growth of the broader Martech practice.

This position requires a minimum of 4 days per week in-office to facilitate collaboration and team development, with travel to client sites as required.

The Impact You'll Make

• Define and lead VML's strategic approach to Adobe Workfront and marketing operations transformation across enterprise client engagements
• Serve as the most senior Workfront authority at VML — advising clients, leading pitches, and shaping practice direction
• Own the end-to-end delivery quality of Workfront implementations — from discovery and solution design through to deployment, adoption, and optimisation
• Build, develop, and inspire a specialist team of Workfront consultants and marketing operations professionals
• Drive business growth — identifying new opportunities, leading proposals, and deepening client relationships
• Establish VML as a recognised leader in Adobe Workfront delivery and marketing operations consulting

Core Responsibilities

Strategic Leadership & Client Advisory

• Define and own VML's strategic vision for Adobe Workfront and marketing operations consulting — setting the direction for how we design, deliver, and evolve our offering
• Act as the most senior client-facing authority on Workfront engagements — advising C-suite, VP, and Director-level stakeholders with clarity, confidence, and commercial acumen
• Lead executive-level discovery and strategy workshops — translating complex organisational challenges into elegant, scalable technology solutions
• Develop compelling business cases and ROI frameworks that articulate the strategic and operational value of Workfront investment to senior decision-makers
• Guide clients through complex solution decisions — balancing technical integrity, business requirements, and change management considerations
• Build and maintain trusted, long-term senior client relationships that position VML as an indispensable strategic partner in marketing operations

Solution Architecture & Technical Governance

• Own the end-to-end solution architecture for enterprise Workfront implementations — from requirements definition and system design through to deployment and post-launch optimisation
• Translate complex client business requirements into robust, scalable Workfront configurations that support intake, workflow automation, review and approval, resource management, and reporting
• Establish and enforce solution quality standards across all Workfront engagements — ensuring technical integrity, platform best practices, and long-term scalability
• Oversee the design and delivery of Workfront Fusion integrations — connecting Workfront to DAM, ERP, CRM, and broader Adobe Experience Cloud platforms to create seamless marketing operations ecosystems
• Define VML's technical governance framework for Workfront implementations — covering configuration standards, naming conventions, data architecture, and system maintenance protocols
• Lead proof of concept development and technical solution design for complex enterprise client challenges — demonstrating the art of the possible with confidence and credibility

Marketing Operations Transformation

• Lead the design of enterprise marketing operating models — defining how people, process, and technology combine to deliver efficient, high-quality marketing output at scale
• Advise clients on marketing workflow strategy — including campaign intake processes, creative production workflows, cross-functional collaboration models, and executive reporting frameworks
• Drive change management and adoption strategies — ensuring Workfront implementations are embraced by end users and deliver sustained operational value beyond go-live
• Identify and develop operational maturity roadmaps — helping clients evolve their Workfront capability over time in line with growing business complexity and ambition
• Connect Workfront strategy to the broader Adobe Experience Cloud ecosystem — ensuring marketing operations solutions integrate coherently with AEM, Analytics, Marketo, and other platform investments

Practice Development & Thought Leadership

• Define and continuously evolve VML's Workfront delivery methodology — building proprietary frameworks, accelerators, and toolkits that scale quality and accelerate time to value
• Contribute to external thought leadership — producing industry content, presenting at events, and shaping VML's market positioning in marketing operations and work management technology
• Establish VML's Workfront centre of excellence — creating the standards, knowledge assets, and enablement resources that underpin consistent delivery quality across the practice
• Stay ahead of Adobe Workfront product developments — translating new capabilities into client opportunities and internal practice evolution
• Identify adjacent capability areas — including broader marketing operations technology, AI-powered workflow automation, and integrated martech ecosystems — and develop VML's ability to deliver in these spaces

Team Leadership & Talent Development

• Lead, mentor, and develop a growing team of Workfront implementation consultants and marketing operations specialists
• Define clear career pathways and development plans that attract, retain, and grow specialist talent within the practice
• Set high standards for delivery excellence and technical quality — reviewing solution designs, governing implementations, and ensuring consistent output across all engagements
• Foster a culture of innovation, rigour, and continuous learning — keeping the team ahead of platform developments and industry best practices
• Collaborate cross-functionally with strategy, creative operations, data, and technology teams to deliver integrated, outcome-focused client programmes
• Formally manage a team of direct reports, providing regular performance feedback, development coaching, and clear expectations

Business Development & Growth

• Lead and contribute to new business pitches and proposals for Workfront and broader marketing operations engagements
• Identify and develop organic growth opportunities within existing accounts — expanding scope, introducing new capability areas, and deepening strategic relationships
• Contribute to commercial scoping and solution design — ensuring proposals are technically credible, commercially sound, and competitively differentiated
• Maintain a close working relationship with Adobe's Workfront product and partner teams — leveraging those relationships for co-selling opportunities, early access to roadmap developments, and market differentiation
• Represent VML at industry events, Adobe partner forums, and client-facing thought leadership opportunities

What You'll Bring

Essential Experience

• 8+ years of experience in marketing operations, work management technology, or martech consulting — with at least 5 years focused specifically on Adobe Workfront
• Proven track record of leading enterprise Workfront implementations end-to-end — from discovery and solution design through to deployment, adoption, and optimisation
• Deep, hands-on expertise in Adobe Workfront configuration and architecture — including intake design, workflow automation, review and approval processes, resource management, and executive reporting
• Demonstrated experience operating as a senior client advisor — with the presence, credibility, and communication skills to engage and influence at VP and C-suite level
• Strong understanding of marketing and creative operational processes — with the ability to design technology solutions that reflect real-world marketing workflows and organisational dynamics
• Proven ability to lead, develop, and inspire specialist teams within a fast-paced consultancy or agency environment
• Experience with change management and organisational adoption strategies — ensuring technology investments deliver sustained behavioural change and measurable operational value
• Excellent project leadership and commercial acumen — able to manage technical scope, mitigate delivery risk, and maintain delivery confidence across complex, multi-workstream programmes

Technical Proficiency

• Expert-level knowledge of Adobe Workfront configuration — including custom forms, project templates, approval processes, reporting, portfolios, and access levels
• Hands-on experience with Workfront Fusion — designing and maintaining integrations with DAM, ERP, CRM, and other martech platforms
• Familiarity with the broader Adobe Experience Cloud ecosystem — including AEM, Analytics, Marketo, and AEP — and how Workfront integrates within it
• Understanding of API connectivity and data interchange principles as they apply to marketing operations platforms
• Working knowledge of agile and hybrid delivery methodologies and how they apply to enterprise platform implementations

Nice to Have

• Adobe Certified Expert — Workfront Core Developer or Architect certification
• Experience across additional Adobe Experience Cloud products — particularly AEM, Marketo, or AEP
• Background in marketing operations strategy, creative operations, or marketing resource management
• Familiarity with AI-powered workflow automation and how emerging capabilities are reshaping marketing operations
• Track record in practice development, thought leadership, or business development at a senior level
• Experience contributing to Adobe partner programmes and co-selling engagements
• Previous experience at a leading consultancy, systems integrator, or digital agency serving enterprise clients

What Makes This Role Unique

This is a rare opportunity to lead at the convergence of marketing strategy, operational excellence, and enterprise technology. You will be:

• Defining how enterprise marketing teams work — not just implementing software, but transforming the operating models that underpin marketing effectiveness
• Building and leading a specialist practice with genuine influence over its direction, methodology, and market positioning
• Working at the forefront of Adobe's Workfront ecosystem — with direct access to product roadmap developments and co-innovation opportunities
• Bringing together technical depth and strategic vision in a way that is genuinely rare and genuinely valued

Who You'll Work With

You will collaborate closely with:

• Senior client stakeholders — C-suite, VP, and Director-level marketing, operations, and technology leads
• VML strategy, creative operations, and martech teams — ensuring Workfront solutions integrate with broader marketing and technology programmes
• Adobe Workfront product and partner teams — maintaining a close working relationship to stay ahead of platform developments
• Workfront consultants and marketing operations specialists — providing leadership, technical direction, and quality oversight
• VML business development and growth teams — contributing to pitches, proposals, and client expansion conversations

About the Role

We are looking for a Group Director, Martech Consulting to lead VML's Adobe Real-Time Customer Data Platform (RTCDP) practice as its most senior strategic and technical authority. This is a high-impact, high-visibility role at the forefront of one of the fastest-growing capability areas in enterprise marketing technology.

As Group Director, you will own the end-to-end strategic vision and technical governance of RTCDP engagements — spanning identity resolution, audience architecture, data ingestion, destination activation, and privacy compliance. You will bring the data engineering acumen to govern complex CDP implementations and the leadership presence to shape how clients invest in and scale their customer data capabilities.

This role sits at the intersection of data architecture, marketing strategy, and enterprise consulting — and represents a genuine opportunity to define how VML delivers one of the most in-demand capabilities in the market.

This position requires a minimum of 4 days per week in-office to support team collaboration and development, with travel to client sites as required.

The Impact You'll Make

• Define and lead VML's strategic approach to Adobe RTCDP across enterprise client engagements
• Serve as the most senior RTCDP voice at VML — advising clients, leading pitches, and shaping practice direction
• Architect and govern enterprise-scale customer data platforms that drive measurable business outcomes
• Build and develop a specialist team of CDP consultants and data-focused architects
• Contribute directly to business growth — identifying new opportunities, leading proposals, and deepening existing client relationships
• Establish VML as a recognised leader in Adobe RTCDP delivery and thought leadership

Core Responsibilities

Strategic Leadership & Client Advisory

• Define and own the strategic vision for RTCDP engagements across VML's enterprise client portfolio
• Act as the primary senior advisor to VP, Director, and C-suite client stakeholders on CDP strategy, data investment priorities, and platform roadmap
• Lead executive-level workshops and strategy sessions — translating complex data challenges into clear, actionable technology recommendations
• Develop compelling business cases and ROI frameworks that articulate the value of RTCDP investment to senior client decision-makers
• Build and maintain trusted, long-term client relationships that position VML as a strategic partner in customer data capability

CDP Architecture & Technical Governance

• Lead the end-to-end architecture and governance of Adobe RTCDP implementations at enterprise scale
• Define standards and best practices for identity resolution strategy — including identity graph design, namespace management, and profile stitching across known and unknown customers
• Own the data ingestion architecture — designing and overseeing batch and streaming pipelines that bring together first-party, second-party, and third-party data sources into unified customer profiles
• Lead the design and governance of XDM schema frameworks aligned to enterprise data strategy and downstream activation requirements
• Define audience segmentation architecture — including segment taxonomy, profile attribute strategy, and real-time vs. batch segmentation approaches
• Govern destination activation strategy — overseeing the configuration of paid media, owned channel, and partner destinations to ensure accurate, timely, and compliant audience delivery
• Establish and enforce technical governance standards across all RTCDP environments — covering data quality, profile hygiene, consent management, and platform configuration

Identity Resolution & Data Engineering

• Lead the strategic design of enterprise identity resolution frameworks — defining how customer identities are collected, resolved, and maintained across touchpoints and channels
• Oversee the development of data ingestion pipelines — ensuring proper data transformation, mapping, and validation prior to profile ingestion
• Provide senior technical direction on data modelling and schema design, ensuring architectures are scalable, extensible, and aligned to business requirements
• Collaborate with client data engineering and enterprise architecture teams to ensure seamless integration between RTCDP and broader data infrastructure — including data warehouses, data lakes, and cloud platforms
• Drive the resolution of complex profile inconsistency and identity collision issues at scale

Privacy Governance & Compliance

• Define and lead privacy governance frameworks for RTCDP environments — ensuring implementations are compliant with GDPR, CCPA, and other applicable data protection regulations
• Oversee the implementation of consent management strategies within AEP, ensuring data usage labels, consent policies, and data governance policies are correctly configured and enforced
• Advise clients on the strategic implications of privacy regulation for customer data architecture — including data minimisation, purpose limitation, and the right to erasure
• Stay ahead of regulatory developments and translate emerging requirements into practical platform governance recommendations

Audience Activation & Performance

• Lead the strategy for cross-channel audience activation — defining how RTCDP-built audiences are deployed across paid media, owned channels, and partner platforms
• Define audience measurement and performance frameworks — establishing KPIs, monitoring activation outcomes, and driving continuous optimisation
• Advise on data collaboration strategies — including data clean room integration, second-party data partnerships, and privacy-preserving audience sharing
• Identify opportunities to expand activation use cases and unlock incremental value from existing RTCDP investments

Practice Development & Thought Leadership

• Develop proprietary frameworks, methodologies, and accelerators that strengthen VML's RTCDP delivery capability
• Contribute to external thought leadership — producing industry content, presenting at events, and shaping VML's market positioning in CDP and customer data strategy
• Define VML's RTCDP centre of excellence — establishing standards, toolkits, and knowledge assets that scale across the practice
• Stay ahead of Adobe RTCDP product developments and translate new capabilities into client opportunities and internal enablement
• Identify adjacent capability areas — including Open Intelligence, data collaboration, and AI-driven segmentation — and develop VML's ability to deliver in these spaces

Team Leadership & Talent Development

• Lead, mentor, and develop a team of RTCDP consultants, data architects, and CDP specialists
• Define clear career pathways and development plans that retain and grow specialist talent within the practice
• Set high standards for technical quality and delivery excellence — reviewing solution designs, governing implementations, and ensuring consistent output quality
• Foster a culture of curiosity, rigour, and continuous learning — keeping the team ahead of platform and market developments
• Collaborate cross-functionally with strategy, analytics, media, and experience design teams to deliver integrated, outcome-focused client programmes

Business Development & Growth

• Lead and contribute to new business pitches and proposals for RTCDP and broader customer data engagements
• Identify and develop organic growth opportunities within existing accounts — expanding scope, deepening relationships, and introducing new capability areas
• Contribute to commercial scoping and solution design, ensuring proposals are technically credible, commercially sound, and competitively differentiated
• Represent VML in Adobe partner conversations — maintaining a close working relationship with Adobe's RTCDP product and sales teams

What You'll Bring

Essential Experience

• 8+ years of experience in customer data platforms, data architecture, martech consulting, or related disciplines
• Demonstrated senior-level expertise in Adobe Real-Time Customer Data Platform and Adobe Experience Platform
• Deep, hands-on knowledge across:
• Identity resolution and identity graph architecture
• XDM schema design and data modelling
• Batch and streaming data ingestion pipelines
• Audience segmentation and profile architecture
• Destination configuration and audience activation
• Data governance, consent management, and privacy policy enforcement
• Strong data engineering acumen — with the ability to provide technical direction on data transformation, pipeline design, and platform integration
• Proven track record of leading enterprise CDP implementations and delivering measurable commercial outcomes
• Demonstrated ability to operate as a senior client advisor — with the presence, credibility, and communication skills to engage at VP and C-suite level
• Experience leading and developing specialist teams in a fast-paced consultancy or agency environment
• Strong understanding of data privacy regulations (GDPR, CCPA) and their implications for CDP architecture and governance

Technical Proficiency

• Proficiency in SQL and data query languages — with the ability to interrogate profile data, validate ingestion quality, and support data troubleshooting
• Working knowledge of JSON, APIs, and data interchange formats used in AEP ingestion and activation workflows
• Familiarity with cloud data platforms — including Snowflake, AWS, Google Cloud Platform, and/or Azure — and how they integrate with AEP
• Understanding of data clean room technologies and privacy-enhancing techniques for data collaboration

Nice to Have

• Adobe Experience Platform or RTCDP Certification
• Experience across the broader Adobe Experience Cloud suite — including AJO, Analytics, Target, and Marketo
• Background in data engineering, data warehousing, or enterprise data architecture
• Experience with identity resolution platforms and third-party CDP technologies
• Familiarity with AI-driven segmentation and predictive audience modelling
• Track record in practice development, thought leadership, or business development at a senior level
• Previous experience at a leading consultancy, systems integrator, or digital agency serving enterprise clients

What Makes This Role Unique

This is a rare opportunity to lead at the forefront of one of the highest-demand capabilities in enterprise marketing technology. You will be:

• Defining the strategy for how enterprise clients build, govern, and activate their most valuable asset — their customer data
• Working at the cutting edge of identity, privacy, and AI-driven personalisation — where data architecture meets marketing performance
• Playing a central role in VML's growth as a leading Adobe RTCDP partner — with real influence over practice direction, team development, and market positioning
• Bringing together data engineering depth and marketing strategy in a way that few roles in the market demand or reward

Who You'll Work With

You will collaborate closely with:

• Senior client stakeholders — VP, Director, and C-suite technology, data, and marketing leads
• VML data, analytics, and media teams — ensuring customer data strategy connects to activation and measurement
• Adobe Experience Platform and RTCDP product teams — maintaining a close partnership and staying ahead of platform developments
• CDP consultants, data architects, and marketing automation specialists — providing leadership, direction, and quality oversight
• VML business development and growth teams — contributing to pitches, proposals, and client expansion

About the Role

We are looking for a Group Director, Martech Consulting to serve as a senior strategic and technical leader within VML's Marketing Automation practice, with a specialist focus on Adobe Journey Optimizer (AJO) and the broader Adobe Experience Cloud ecosystem.

This role goes beyond platform execution. As a Group Director, you will own the strategic vision for how clients orchestrate customer experiences at scale, lead enterprise-level engagements, and act as a trusted advisor to senior client stakeholders. You will bring both the technical depth to govern complex implementations and the leadership presence to shape how our practice grows.

This position requires a minimum of 4 days per week in-office to facilitate collaboration and team development, with travel to client sites as needed.

The Impact You'll Make

• Define and lead the strategic direction of AJO and marketing automation engagements across VML's enterprise client portfolio
• Serve as the senior technical and strategic authority on Adobe Journey Optimizer, influencing how clients invest in and scale their customer journey programmes
• Drive practice development — building frameworks, methodologies, and points of view that differentiate VML's Adobe offering
• Grow and develop a high-performing team of consultants and specialists
• Contribute to business development — supporting pitches, scoping engagements, and identifying growth opportunities within existing accounts

Core Responsibilities

Strategic Leadership & Client Advisory

• Lead the end-to-end strategic design and governance of enterprise customer journey programmes within Adobe Journey Optimizer
• Act as the most senior AJO voice in client engagements — advising VP, Director, and C-suite stakeholders on platform strategy, investment priorities, and roadmap decisions
• Translate complex business objectives into scalable, data-driven journey architectures that deliver measurable commercial outcomes
• Develop and present executive-level recommendations on journey orchestration strategy, platform governance, and capability maturity

Technical Governance & Architecture

• Define and enforce journey governance frameworks that ensure compliance with industry regulations, data privacy requirements, and platform best practices
• Oversee the configuration and optimisation of Adobe Journey Optimizer, including journey design, decisioning rules, and real-time profile management
• Lead the design of real-time customer profiles, segmentation strategies, and schema architecture within Adobe Experience Platform
• Establish and maintain technical standards for data flows, API integrations, and cross-platform connectivity across the Adobe ecosystem
• Ensure scalable, well-documented technical architecture across all client implementations

Data Strategy & Personalisation

• Partner with analytics and data engineering teams to design and implement data-driven decisioning frameworks that power intelligent journey orchestration
• Lead the strategy for dynamic content, offer decisioning, and real-time personalisation across channels
• Define performance measurement frameworks — identifying the right KPIs, monitoring journey performance, and driving continuous optimisation
• Provide senior-level recommendations on attribution modelling and journey analytics to demonstrate ROI

Practice Development & Thought Leadership

• Develop proprietary frameworks, methodologies, and toolkits that strengthen VML's AJO and marketing automation offering
• Contribute to external thought leadership — representing VML at industry events, producing written content, and shaping market positioning
• Identify opportunities to expand and evolve VML's Adobe practice in response to product developments and market demand
• Stay ahead of Adobe product roadmap developments and translate emerging capabilities into client opportunities

Team Leadership & Talent Development

• Lead, mentor, and develop a team of AJO consultants and marketing automation specialists
• Set clear expectations, provide regular feedback, and create development pathways that retain and grow top talent
• Foster a culture of technical excellence, collaboration, and continuous learning within the team
• Collaborate cross-functionally with strategy, experience design, data, and delivery leads to ensure cohesive programme execution

Business Development & Growth

• Support and lead new business pitches and proposals for marketing automation and Adobe Experience Cloud opportunities
• Identify and develop organic growth opportunities within existing client accounts
• Contribute to commercial scoping and solution design for new engagements, ensuring technical feasibility and delivery confidence
• Build and maintain senior client relationships that position VML as a long-term strategic partner

What You'll Bring

Essential Experience

• 8+ years of experience in enterprise marketing automation, martech consulting, or related disciplines
• Demonstrated senior-level expertise in Adobe Journey Optimizer and Adobe Experience Platform
• Proven track record of leading and delivering complex, multi-channel customer journey programmes for enterprise clients
• Strong understanding of data architecture, API integrations, and marketing technology ecosystems
• Experience operating as a senior client advisor — with the presence, credibility, and communication skills to engage at VP and C-suite level
• Proficiency in SQL, JSON, and scripting languages, with a working knowledge of HTML, CSS, and email development standards
• Deep understanding of privacy regulations (GDPR, CCPA) and their strategic implications for journey orchestration
• Proven ability to lead, develop, and inspire teams in a fast-paced consultancy or agency environment

Nice to Have

• Adobe Journey Optimizer Certification and/or additional Adobe Experience Cloud certifications
• Experience across the broader Adobe Experience Cloud suite — including Target, Analytics, Campaign, and AEP/RTCDP
• Background in CDP platforms and real-time data orchestration
• Experience with agile delivery methodologies and enterprise programme governance
• Track record of contributing to practice development, thought leadership, or business development at a senior level
• Experience with REST APIs, web services integration, and broader martech stack architecture
• Previous experience at a leading consultancy, systems integrator, or digital agency serving enterprise clients

What Makes This Role Unique

This is a rare opportunity to operate at the intersection of strategic leadership and deep technical specialism. You will be:

• Shaping how enterprise clients think about customer journey orchestration — not just executing against a brief
• Leading a specialist practice that is growing rapidly, with real influence over its direction and capability
• Working at the forefront of Adobe's product evolution — with early access to roadmap developments and co-innovation opportunities
• Playing a central role in VML's position as a leading Adobe partner — your work will directly influence how we win, deliver, and grow

Who You'll Work With

You will collaborate closely with:

• Senior client stakeholders — VP, Director, and C-suite technology and marketing leads
• VML strategy, data, and experience design leads — ensuring technical and creative workstreams are aligned
• Marketing automation consultants and AJO specialists — providing leadership, direction, and quality oversight
• Adobe account and product teams — maintaining a close partnership and staying ahead of platform developments
• VML business development and growth teams — contributing to pitches, proposals, and client expansion conversations

The Vice President of Sales will be instrumental in spearheading GumGum's market-leading contextual advertising platform across outer markets West of the Mississippi. Reporting to the SVP of Sales, this pivotal role demands a seasoned sales executive with a proven track record of success in the online media landscape.

The VP of Sales will be responsible for leading and developing a high-performing sales team, fostering key relationships within the advertising community, and driving revenue growth through the successful adoption of GumGum's innovative solutions. This dynamic leadership position requires a deep understanding of the online media ecosystem, exceptional team management skills, and the ability to forge strategic partnerships that deliver tangible value to clients.

Note: This position offers the opportunity for remote work or 'work from home' as there isn't a nearby office. We are only open to considering candidates in the Texas, Minneapolis, Denver, Utah and Ohio territories. This role will require extensive traveling (50%) across the outer markets West of the Mississippi.

What You'll Achieve

Outer Territories Sales Team Leadership

• Cultivate High-Performance Teams: Foster a collaborative and results-oriented sales culture, ensuring team members are empowered to achieve exceptional results. Oversee GumGum’s Outer Territories and Indies Sales Team and team productivity, building a highly inclusive culture ensuring team members thrive and organizational outcomes are met.
• Drive Talent Development: Recruit, onboard, and develop top sales talent, providing ongoing coaching and mentorship to enhance individual and team performance.
• Set and Achieve Ambitious Goals: Translate sales strategies into actionable goals, implement performance management frameworks, and coach team members on account-based strategies to maximize revenue potential.
• Promote a Positive Employee Experience: Create a supportive and engaging work environment where team members feel valued and motivated to excel.
• Champion Best Practices: Continuously seek out and implement innovative sales methodologies and best practices to drive team productivity and efficiency.
• Lead by Example: Exemplify GumGum's values and ethical leadership principles, inspiring trust and respect within the team.

Drive Revenue Growth for Outer Territories and Indies Agencies

• Deliver on Revenue Targets: Achieve and exceed revenue targets for the Outer Region, consistently driving year-over-year growth through proactive sales initiatives.
• Build Strategic Partnerships: Develop and nurture strong relationships with key brand and agency contacts and clients, gaining a deep understanding of their business needs and providing tailored GumGum solutions.
• Generate New Business Opportunities: Identify and qualify sales opportunities from marketing leads, as well as through proactive prospecting and outreach.
• Expand Existing Client Relationships: Upsell current clients on new and existing products, leveraging GumGum's expertise in In-image and In-video display advertising and additional suite of offerings.
• Focus on Key Categories: Drive sales activation and relationship development within key Outer region key verticals 
• Foster Client-Centricity: Gather and communicate valuable client insights to internal Product teams, ensuring GumGum's offerings continuously evolve to meet market demands.
• Collaborate Cross-Functionally: Partner with Account Managers, Strategists, and other internal teams to ensure seamless client onboarding, campaign execution, and achievement of client objectives.
• Lead Strategic Initiatives: Collaborate with the North American Leadership Team to develop, manage, and execute strategic sales initiatives that drive significant revenue growth and market expansion.

Skills You'll Bring

• Bachelor's Degree in Media or Marketing/Advertising field
• 10+ years of selling experience in digital advertising sales)
• Experience managing a team to deliver a large book of business (15M+)
• Demonstrated experience coaching team members to improve performance
• Must have strong selling experience and track record of hitting or exceeding sales targets demonstrated with a list of brand and agency contacts in addition to other assignments in the region
• Willingness to travel 50% of the time
• Proficient in SalesForce (is comfortable logging meetings, calls, pulling reports, etc.)
• PowerPoint, Excel and Word skills a must
• Must possess superb written and verbal communication skills
• Uses Seller Crowd and checks the trades for updates on accounts
• Strong and strategic relationship building with clients
• Attention to detail and organization in daily tasks
• Quick at problem solving internally and externally while managing stakeholders through the process
• Fundamental understanding of business drivers (P/L, Operating Statement, COGS, Revenue, etc.)
• Applies analytical skills to interpret data and uses independent judgment and discretion in developing solutions to a variety of work problems

What We Offer

At GumGum, competitive base pay is a part of a total rewards package which also includes benefits, an emphasis on recognition, development, and wellness.The reasonable estimated total compensation range (base + commission) for this role is $440,000 - $480,000 OTE. Individual compensation will vary based on factors including, but not limited to, relevant qualifications, work location, and labor market conditions.

The total rewards package offered also includes an employer-matched 401(k) retirement plan, and depending on the role, participation in a bonus, commission, or stock incentive program. Your recruiter can share more specifics during the hiring process. Learn more about our U.S. benefits & perks package at gumgum.com/benefits.

WHO WE’RE LOOKING FOR

Per Scholas is seeking an IT Support instructor to become a member of our  Training Team. The ideal candidate is a detail-oriented, problem-solving individual with strong technical and instructional skills, demonstrates the ability to adapt quickly to a dynamic environment, and maintains a strong sense of accountability. To succeed in this role, candidates must be business-minded within our mission focus and excel in instructional delivery that meets clients’ and learners’ high expectations.

WHAT YOU’LL DO 

• Support instructor-led training that prepares students for entry-level to mid-level careers in IT Support. Responsibilities include daily instruction, assessment administration, attendance, one-on-one tutoring, daily evaluation and monitoring of individual student progress, addressing student violations with students in a consistent manner, and more
• Provide students with access to relevant resources for outside learning on technologies and study aids relevant to the curriculum
• Work closely with the team to identify student needs, provide the necessary support, establish individualized plans for student achievement, and participate in regular student-status meetings.
• Maintain and update Salesforce and/or our LMS with student grades, certification scores, and progress notes.
• Support and maintain the training curricula, syllabi, lesson plans, and other classroom materials. 

WHAT YOU’LL BRING TO US

Instructional Skill Sets

• 1-3 years of teaching or training experience 
• Strong technical background; able to grasp and convey highly technical subject matter
• Ability to respond clearly to live digital conversations via a digital engagement platform such as Zoom or an in-person training environment.
• Strong communication skills

Required Skill Sets 

• Proficient understanding of IT support fundamentals, including hardware, software, and networking concepts.
• Familiarity with operating systems such as Windows, MacOS, and Linux.
• Experience in troubleshooting common IT issues, including software installations, network configurations, and hardware malfunctions.
• Knowledge of IT security protocols and best practices.
• Ability to work with diverse IT tools and software like helpdesk ticketing systems, remote desktop tools, and hardware diagnostic utilities.
• Understanding of cloud computing platforms and services.
• Experience with mobile device management and troubleshooting.
• Familiarity with virtualization technologies.
• Knowledge of IT support and best practices and service level agreements (SLAs).
• Ability to stay updated with the rapidly evolving tech landscape.
• Commitment to ongoing professional development, applicable certifications, and coursework to stay current with rapidly evolving technology trends and advancements.

Preferred Skill Sets 

• Experience in diagnosing, repairing, and maintaining various computer hardware, including desktops, laptops, and peripheral devices.
• Ability to install, configure, and troubleshoot operating systems like Windows, Linux, and macOS, including knowledge of file systems, drivers, and system optimization.
• Experience in setting up and managing both wired and wireless networks, with a deep understanding of IP addressing, subnets, routing, and network troubleshooting tools.
• Experience in configuring, troubleshooting, and securing mobile devices across various platforms, including Android and iOS.
• Experience in setting up and managing Windows Server environments and roles such as Active Directory, DHCP, and DNS.
• Experience in designing and implementing Group Policy to manage user environments, system settings, and software installations across an organization.
• Experience in understanding and managing server storage solutions, including RAID configurations and different disk types.
• Experience in implementing backup strategies on Windows Server and restoring data or system states when necessary.

Professional Qualifications 

• Bachelor's degree (or equivalent practical/industry experience). 
• Strong technical aptitude (Google Sheets/Excel, Slides/PowerPoint, Salesforce, Slack, Zoom, etc.), project management, and organizational skills with detailed follow-through abilities. 
• Excellent written communication, presentation, and customer service skills.
• Solid understanding of business needs.
• Strong evaluation and data management skills.
• Prior knowledge or background in IT (if minimal, a desire and willingness to learn what’s needed) and a passion for technology is a plus.
• Bachelor’s degree in Information Technology, Computer Science, or a related field; Master’s degree preferred.
• Relevant industry certifications, such as CompTIA A+ (1200 Series) , Network+, or others.
• At least three years of experience in an IT support role.

Personal Characteristics

• You thrive in a creative, inventive, fast-paced startup environment with people who are passionate about their work and mission.
• You are data-driven, result-oriented, and a forward-looking catalyst for social change.
• You have a collaborative and flexible work style. You’re excited to work cross-functionally with other departments and independently.
• You are a life-long learner.
• You are an effective communicator with strong oral and written skills. 
• You are tech-savvy and learn new tools quickly. 
• You are detail-oriented, with exceptional organizational management skills.
• You have strong public speaking and interpersonal skills. You are a motivator who is personable, approachable, and socially engaging. You can cultivate relationships and build rapport quickly and authentically with people from various professional and cultural backgrounds.
• You are adept at managing your time and balancing multiple projects and tasks.
• You stand behind our mission, believing that individuals from any community should have access to well-paying career positions and that talent should be recognized and recruited from diverse sources.

Compensation 

For this role specifically, we are targeting a salary range of $60,000 - 65,000, where the difference in salary is typically determined by several factors, including geography in which the selected candidate resides, and alignment with qualifications and experience.

LI#- Onsite 

Senior Data Scientist Consultant, Managed Agent Platform (MAP) – Agent Platform Team P2392 

Summary 

The Agent Platform Team, within AI Enablement at 84.51°, owns and manages the core platforms that power data science and AI across the organization. This role sits on the MAP (Managed Agent Platform) squad and is focused on helping stand up a new, centralized platform that simplifies and accelerates the design, development, deployment, and monitoring of AI agents across the organization. 

The MAP is being built in response to growing demand for a flexible, no-code/low-code solution that enables both technical and non-technical users to build and deploy agents without deep engineering overhead. The platform is early-stage — the team is actively evaluating different platforms and tooling, defining workflows, and establishing standards. You will be joining at the ground floor and helping shape what this platform becomes. 

You will be the bridge between the engineers building/maintaining the MAP and the data scientists and agent builders who will use it. You are not building agents for end-clients. Instead, you ensure the platform works for the people on it — that capabilities are tested, documented, and adopted smoothly, and that practitioner needs make it back to the engineering team in a way that shapes the roadmap. 

You’ll bring hands-on familiarity with the open-source agent ecosystem — including frameworks like LangChain, LangGraph, Google ADK, and OpenAI Agents SDK — and apply that knowledge to evaluate platform capabilities, inform design decisions, and help practitioners understand what’s possible. As the platform matures, you’ll help onboard users, develop best practices, and drive adoption across the organization. 

This is a small, engineer-heavy squad that is standing something up from scratch. Everyone pitches in on a bit of everything. Priorities will shift frequently as the platform takes shape. Success in this role is less about fixed technical expertise and more about comfort with ambiguity, good judgment about where to spend your time, and the ability to influence without direct authority. 

Responsibilities 

• Voice of the practitioner: Serve as the primary liaison between data scientists and agent builders and the MAP engineering team. Gather requirements, surface pain points, and translate practitioner needs into actionable feedback that shapes platform decisions, standards, and the roadmap. 

• Platform evaluation & definition: Help evaluate and select platform tooling and contribute to defining core platform capabilities — including agent building workflows, orchestration patterns, tool/API connectivity, observability and tracing, evaluation frameworks, and governance controls. Test and document findings, recommended use cases, limitations, and rollout considerations. 

• Onboarding & enablement: As the platform matures, write guides, maintain documentation, lead training sessions, and run office hours to help data scientists and agent builders adopt the MAP. Serve as a first line of support when teams hit roadblocks. 

• Adoption & communication: Evangelize the MAP to increase awareness and drive adoption across the organization. Produce clear communications and materials for both technical and non-technical audiences. 

• Cross-functional collaboration: Work closely with engineers, the solution architect, and product lead on the squad to ensure platform capabilities have well-defined use cases and that guidelines and best practices are established. Act as an agent-building ambassador to cross-functional teams, explaining recommended workflows and the reasoning behind platform choices. 

• Governance & compliance support: Help validate that platform capabilities meet enterprise requirements around security, compliance, observability, scalability, and data governance. 

Qualifications & Experience 

• Bachelor’s degree in mathematics, statistics, computer science, economics, or a related discipline. 

• 2–4 years of experience in data science, AI/ML development, or applied analytics. 

• 2–4 years of experience in tech consulting, retail analytics, or related professional services. 

• Hands-on experience with Python and SQL. 

• Hands-on experience with one or more agent frameworks (e.g., LangChain, LangGraph, Google ADK, OpenAI Agents SDK, CrewAI, AutoGen) is required. 

• Experience gathering user needs, documenting requirements, and driving issues to resolution with technical teams. 

• Experience partnering with software engineering and/or product management teams. 

• Familiarity with LLMs, prompt engineering, and agentic AI concepts. 

• Exposure to agent platforms is a strong plus. 

Skills 

• Strong written and verbal communication, including the ability to explain technical concepts clearly to non-technical audiences and produce high-quality documentation. 

• Ability to influence across teams and seniority levels without direct authority. 

• Comfort operating in ambiguity — this platform is early-stage, and priorities will shift frequently as the team learns what works. 

• Strong project and time management skills; able to manage multiple priorities with minimal oversight. 

• Deep curiosity about the agentic AI ecosystem and a genuine desire to become a subject matter expert on agent orchestration, evaluation, observability, and deployment patterns. 

• Comfort working on a small, engineer-heavy team where you are often the only non-engineer voice in the room. 

#LI-SSS

Landor is looking for a 3D Design Intern to join our Cincinnati studio. Could this be you?

We are Landor, part of WPP

World-leading brand experts, 
underpinned by the most expansive strategic & creative capabilities in our category.

We make brands more valuable and less vulnerable.

We build brands differently. We work with our clients to define and solve their business problems through the lens of brand. We strategically join the dots between our design, experience, governance and measurement capabilities, and always connect our brand work to business outcomes. 

Landor companies also include amp (sonic branding), bdg (workplace & architectural experts), Deep Local (creative technologists) and ManvsMachine (3D motion design).

About WPP

WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. For more information, visit WPP.com.

Co-Op Requirements
We are seeking students in their third, fourth or fifth year of college, majoring in environmental, 3D environments, industrial, or interior design. This is an opportunity to expand the learning process by participating in projects from start to finish and interacting with our design, strategy, and implementation groups. Hired interns will be placed on a specific creative team and assigned a mentor to help them navigate day-to-day worklife. After becoming fully integrated onto their team, interns can expect to work collaboratively on a variety of projects including 3D modeling, environmental design, industrial design, retail design, and more.

Internship candidates must have completed a minimum of 3 semesters or equivalent in their program and should have advanced skills in Illustrator and Photoshop with an intermediate / exploratory understanding of a handful of the following programs: AfterEffects, CAD tools, Figma, Keyshot, Premier Pro, Rhino, and Sketchup. Candidates should also have a solid understanding of Microsoft Word, PowerPoint, and Keynote.

Landor looks for students with great portfolios, excellent communication skills, and a strong desire to learn as much as they can about design at a global agency level. Successful candidates will be knowledgeable and passionate about what Landor does, aware of new trends and techniques, and jump in to our work culture with a great attitude and lots of flexibility.

We offer a competitive benefits package, click WPP Benefits for more details. 

We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.

We build brands. We build futures. Landor, a WPP company, is an equal opportunity employer. We consider all applicants without discrimination or regard to particular characteristics, committed to a culture of respect where everyone belongs and can progress in their careers.

#LI-DNI #LI-DNP

Lead Data Scientist, Relevancy Sciences Data Science & Research – Personalization & Loyalty Strategy (P3764)

Relevancy Sciences Team is responsible for powering relevant, personalized, and scalable customer experiences across Kroger’s e-commerce ecosystem. We build and evolve the science behind search and recommendations that serve millions of customers and support high-scale digital experiences.

We are seeking a Lead Data Scientist to provide technical leadership across search and recommender systems, with a strong focus on modern model architectures, and production-ready machine learning. This role is ideal for someone who combines depth in applied machine learning with strong systems thinking, cross-functional influence, and contributes towards agentic capabilities.

What does the role entail? (Responsibilities)

Technical Leadership, Ownership, and Influence. Own and drive technical initiatives across search & recommender systems. Define and evolve the science strategy for improving content discovery, relevance, personalization, and decision support across digital experiences. Identify high-impact opportunities, make clear technical tradeoffs, and guide the team towards scalable, practical solutions. Rapidly prototype and validate new ideas to accelerate adoption and demonstrate measurable value.

Develop innovative search & recommender systems. Design and build ML solutions tailored to the unique needs of grocery retail domain. Lead the development of systems that improve product discovery and personalization across customer journeys. Bring strong technical and thought leadership on next generation personalization, including the use of Generative AI and agent-based approaches.

Evaluate and improve ML performance. Establish rigorous evaluation methodologies to assess the performance of ML systems across key metrics. Define robust online evaluation frameworks, and guide experimentation strategies that connect model improvements to customer and business outcomes.

Model serving and deployment. Partner closely with Engineering to build and deploy production-ready ML systems. Influence design decisions related to real-time inference, feature access, system integration, monitoring, and reliability. Ensure solutions meet latency, scalability, and operational requirements. Contribute to the evolution of serving and deployment strategies.

Cross-functional leadership. Work closely with Product, Engineering, and business stakeholders to translate needs into clear problem statements, hypotheses, and execution plans. Drive alignment across teams and influence decisions through clear communication of tradeoffs, risks, and expected outcomes.

Mentoring and knowledge sharing. Mentor data scientists and lead technical reviews to improve model quality, experimentation rigor, and systems thinking. Promote best practices in reproducibility and evaluation. Contribute to building a strong, learning-oriented team culture.

What skills and experience do you need? (Requirements)

• Bachelor’s, Master’s, or PhD in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field.
• 6+ years of experience applying machine learning to real-world problems with strong experience in search and recommender systems. Strong understanding of approaches such as embeddings and multi-stage decision systems.
• Strong proficiency in Python and SQL, with experience working on large-scale data using tools such as Spark.
• Experience with modern machine learning and deep learning frameworks such as PyTorch or TensorFlow.
• Strong foundation in statistics, experimentation, and data analysis, including design of experiments and A/B testing.
• Familiarity with large language models, foundation models, and emerging AI capabilities, including where they are applicable and where they are not.
• Experience evaluating or prototyping GenAI-based solutions is preferred.
• Experience partnering with engineering teams to deploy and maintain machine learning systems in production.
• Understanding of real-time systems, model serving, feature pipelines, and monitoring.
• Ability to make practical tradeoffs between model complexity, performance, latency, and scalability.
• Demonstrated ability to lead technical work across projects and influence direction across data science, engineering, and product teams.
• Experience mentoring or guiding other data scientists and contributing to a strong technical culture.
• Experience working with cloud platforms such as GCP or Azure.
• Experience in retail, e-commerce, or high-scale consumer domains is a plus.

Why join our team? (Rewards)

Impact millions of people. As a member of our data science team, you will have the opportunity to make a tangible difference in the lives of millions of customers by delivering relevant and personalized recommendations that enhance their grocery shopping experience. Your work will directly contribute to increasing customer satisfaction and loyalty, driving business outcomes for our company.

Continuous learning and development. Challenge yourself. We are committed to fostering a culture of continuous learning and development. You will have access to resources and support for expanding your knowledge and skills in cutting-edge technologies, including recommender systems, machine learning and artificial intelligence. Our team encourages exploration and experimentation, providing opportunities to stay at the forefront of industry advancements.

Work on new developments in recommender systems. Join a team at the forefront of innovation in recommender systems and AI. You will have the chance to contribute to pushing the boundaries of what’s possible in personalized recommendation technology. You will have the chance to work on exciting projects that leverage the latest developments in deep learning architectures and data science methodologies.

#LI-SSS

ACCEL Schools is seeking a highly motivated Regional Director of Academics in Cincinnati, OH dedicated to creating a rigorous and nurturing environment that prioritizes student engagement and achievement for all students.

With a network of 100 charter schools and growing, ACCEL Schools employs a diverse staff of passionate administrators and educators who value research-based practices and a desire to grow as professionals. We work tirelessly to raise student achievement, regardless of historical barriers, while committed to participating in ongoing professional development, job embedded instructional coaching, and embracing a growth mindset.  The Regional Director of Academics is crucial to their success.

The Regional Director of Academics serves as part of the school leadership teams, providing job-embedded and ongoing professional development for Directors of Academics, teachers, staff, and administration. He/she provides support to the principal and school staffs in data analysis and professional development decision-making. He/she provides professional development and guidance for Directors of Academics to improve their content knowledge and effective delivery of coaching. Overall, the job of the Regional Director of Academics is to build the capacity of the schools and its teachers to meet the learning needs of all students. The Regional Director of Academics' goal is to ensure that school staff acquires the understanding and skills to enhance instructional practices at the classroom level and raise the level of student academic achievement.

Essential Role:

• Participation and/or delivery in all required Director of Academics professional development. The Regional Director of Academics is charged with acquiring the knowledge, skills, technology skills, and instructional strategies to effectively impact the instructional practices of the teachers that are coached. He/she must remain knowledgeable about current and past research in the specific content area and other pedagogies relevant to the coaching
• Identification of the school teaching and learning needs, barriers and weaknesses by analyzing student data, and organizing and implementing problem-solving actions.
• Monitor instructional effectiveness and student progress using tools and strategies gained through professional development.
• Work collaboratively with ACCEL Shared Services teams and the Regional Vice President to ensure alignment on goals and strategies for each school.
• Assistance in collaborative development of district-wide diagnostic and benchmark
• Provide continuous and targeted professional development for the Director of Academics that directly supports the school curriculum and instruction that ensures continuous student achievement of the school’s academic standards;
• Performance of additional tasks and responsibilities as assigned
• On-site support daily to schools on an assigned schedule

Required Qualifications:

• Bachelor’s degree from an accredited college or university
• Valid Ohio teaching credential authorizing services in the area of responsibility
• Experience in differentiated instruction in a standards-based curriculum
• Required training and certification for the content area(s)
• Minimum 3 or more years of successful Instructional Coaching
• Evidence of leadership roles

Required Experience:

The effectiveness of any coaching initiative hinges on the selection of a candidate that is highly qualified as a teacher, knowledgeable in content, and skilled in the sophisticated practices of coaching. The Regional Director of Academics must meet the following criteria:

• demonstrate deep knowledge of the relevant content areas and skillful application of research-based strategies to provide access to content standards for scholars of all academic levels;
• demonstrate knowledge and use of a rich array of instructional approaches, resources, and technologies in the relevant content area(s);
• demonstrate skill in analyzing and using data for instructional decision-making; especially differentiated instruction for scholars of all academic levels;
• possess interpersonal, problem solving, and organizational skills required to effectively facilitate coaching and staff development;
• demonstrate the ability to design (individually or in collaboration with others) high quality professional development for school leaders;
• possess the knowledge and skills to implement a standards-based curriculum with approved instructional materials

About Us

“We believe that every child should be able to be anything they want in life, regardless of their birthplace and circumstances.” – Ron Packard, CEO & Founder

ACCEL Schools is a network of 100+ high-performing, public charter schools serving PK-12 students. We proudly advocate for school choice and work to address educational inequities throughout the United States. Our schools are inclusive and widely differ to reflect the unique values of the many urban, suburban, and rural communities we serve. Our brick-and-mortar, virtual, and hybrid schools specialize in closing educational gaps and offer innovative models such as career-technical education, sports training, bilingual programming, and more. We have been recognized and praised by legislators, authorizers, and researchers for providing exceptional education options to students in historically under-resourced communities.

Compensation and Benefits: The compensation and benefits information below is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law. 
  
The annual starting salary for this position is between $65,000 – $75,000 annually. Factors which may affect starting pay within this range may include geography/market, skills, education, experience and other qualifications of the successful candidate.

We offer the following benefits:

Life benefits – time & peace of mind

• Paid time off
• Retirement contributions
• Optional Basic Life and AD&D insurance
• Voluntary life insurance (employee, spouse, child)
• Discounted childcare at Early Learning Academies locations

Health benefits – stay well & thrive

• Medical, dental, and vision insurance
• Employee Assistance Program
• Voluntary short-term disability insurance
• Voluntary long-term disability insurance

Career benefits – keep growing

• Career advancement opportunities throughout Accel Schools and our strong network of 4,000+ instructors and education professionals

EQUAL EMPLOYMENT OPPORTUNITY

It is our policy to abide by all federal, state and local laws prohibiting employment discrimination based solely on a person’s race, color, religious creed, sex, national origin, ancestry, citizenship status, pregnancy, childbirth, physical disability, mental and/or intellectual disability, age, military status, veteran status (including protected veterans), marital status, registered domestic partner or civil union status, familial status, gender (including sex stereotyping and gender identity or expression), medical condition, genetic information, sexual orientation, or any other protected status except where a reasonable, bona fide occupational qualification exists.

#LI-AB1

The Consumer Research team at 84.51° uncovers the “why” that complements the deep behavioral understanding 84.51° uniquely delivers.  Our focus is uncovering the “Why,” integrating it with the “What,” and turning these insights into human stories and business recommendations that compel actions to be taken that delight our customers in ways no other retailer can.  We strive to consistently bring this human understanding to the business and serve as a strategic partner to leaders at 84.51° and Kroger. 

A Senior Researcher on our Research Insights team is accountable for the creation and execution of research projects start to finish, applying best practices and standards to projects, and delivering actionable results to stakeholders- both internal and external. The role will execute research across a range of methodologies (Quantitative and Qualitative).  Additionally, this role is responsible for leveraging existing data for ad hoc analysis to support a holistic view that raises the collective understanding of our customers’ motivations and perceptions.

CORE RESPONSIBILITIES

Research Execution & Delivery:

• Independently execute research projects end‑to‑end once scope and approach are aligned, including:
• Translating business questions into research objectives
• Designing or customizing questionnaires / discussion guides
• Managing vendors and internal partners through fieldwork
• Conducting analysis and synthesis across qualitative, quantitative, and secondary data
• Developing clear, decision‑oriented insights and recommendations
• Apply strong judgment in balancing speed, depth, feasibility, and cost in execution
• Ensure quality, rigor, and clarity across all deliverables

Stakeholder & Project Management:

• Serve as the day‑to‑day research owner for assigned projects
• Proactively manage timelines, dependencies, and risks
• Communicate clearly with partners on status, tradeoffs, and implications
• Show up as a confident research partner in working sessions and readouts

Ways of Working & Team Contribution:

• Operate effectively within CR request intake, scoping, and prioritization processes
• Leverage existing research, products, and tools before defaulting to custom solutions
• Contribute to shared learning by documenting work, sharing best practices, and flagging patterns across projects
• Partner closely with Lead Researchers, Consultants, CX Measurement, and Research Operations

QUALIFICATIONS, SKILLS, AND EXPERIENCE:

• Experience executing multiple research projects simultaneously with minimal oversight
• Comfort working across data types (qual, quant, secondary) and synthesizing into clear stories
• Strong analytical thinking and ability to translate findings into implications and recommendations
• Clear, concise communicator—able to present insights to non‑research audiences
• Strong organizational skills and attention to detail
• Comfortable operating in a fast‑moving, sometimes ambiguous environment
• Tools & Platforms (experience with some preferred): Qualtrics, SPSS/R/Python/Alteryx, Tableau/PowerPoint, insights repositories, and qualitative platforms (e.g., VoxPopMe)

EDUCATION:

• Bachelor’s degree or equivalent, ideally in business, marketing, social sciences, psychology or analytics/statistics.
• 3-5 years of industry experience

#LI-AB1

Senior Data Scientist Consultant, SPI – Agent Platform Team

Summary

The Agent Platform Team, within AI Enablement at 84.51°, owns and manages the core platforms that power data science and AI across the organization. This role sits on the SPI (Science Platform Innovation) squad and is focused specifically on the Databricks environment and its evolving AI/ML capabilities.

You will be the bridge between the engineers building and maintaining our Databricks platform and the data scientists who use it every day. You are not building models for end-clients. Instead, you ensure the platform behaves as expected for the people on it—that new capabilities are tested, documented, and adopted smoothly, and that practitioner pain points make it back to the platform team in a way that shapes the roadmap.

You’ll build deep familiarity with Databricks’ infrastructure and AI powered capabilities —including Genie Code, Genie spaces, Agent Bricks, MLflow, and other features as they emerge—as well as the Unity Catalog governance layer that underpins them. You’ll test and evaluate new Databricks features and relevant third-party integrations from the perspective of an end-user, document your findings, and help the team decide what to adopt, how to roll it out, and what to skip.

This is a small, highly collaborative squad. Everyone pitches in on a bit of everything. Priorities shift frequently as the Databricks roadmap evolves. Success in this role is less about fixed technical expertise and more about comfort with ambiguity, good judgment about where to spend your time, and the ability to influence without direct authority.

Responsibilities

• Voice of the practitioner: Serve as the primary liaison between data scientists using Databricks and the platform engineering team. Gather requirements, surface pain points, and translate practitioner needs into actionable feedback that shapes platform decisions and roadmaps.
• Technology evaluation: Lead the testing and evaluation of new Databricks capabilities (e.g., Mosaic AI features, Model Serving enhancements, Genie, new Unity Catalog functionality) and relevant third-party tools. Document findings, recommended use cases, limitations, and rollout considerations. Over time, this may evolve from hands-on beta testing toward designing and coordinating evaluation efforts across groups of practitioners.
• Onboarding & enablement: Write guides, maintain documentation, lead training sessions, and run office hours to help data scientists adopt new platform capabilities. Partner with Learning & Development where appropriate. Serve as a first line of support when teams hit roadblocks.
• Adoption & communication: Evangelize Databricks capabilities to increase awareness and drive adoption. Produce clear release notes, communications, and materials for both technical and non-technical audiences.
• Cross-functional collaboration: Work closely with the solution architect, cloud engineer, and product senior on the squad to ensure proposed technologies have well-defined use cases and that guidelines and best practices are established. Act as a data science ambassador to cross-functional teams, explaining recommended workflows and the reasoning behind platform choices.
• Governance & compliance support: Help validate that new platform capabilities meet enterprise requirements around security, compliance, observability, and data governance (e.g., Unity Catalog lineage, Azure connectivity).

Qualifications & Experience

• Bachelor’s degree in mathematics, statistics, computer science, economics, or a related discipline.
• 2–4 years of experience in data science, AI/ML development, or applied analytics.
• 2–4 years of experience in tech consulting, retail analytics, or related professional services.
• Hands-on experience with Python, SQL, PySpark and Databricks
• Experience gathering user needs, documenting requirements, and driving issues to resolution with technical teams.
• Experience partnering with software engineering and/or product management teams.
• Familiarity with LLMs, prompt engineering, or agentic AI concepts is a strong plus.
• Experience with the Databricks ecosystem (Unity Catalog, MLflow) is a strong plus.
• Exposure to agent frameworks (e.g., LangChain, LangGraph, CrewAI, AutoGen) is a plus.

Skills

• Strong written and verbal communication, including the ability to explain technical concepts clearly to non-technical audiences and produce high-quality documentation.
• Ability to influence across teams and seniority levels without direct authority.
• Comfort operating in ambiguity—priorities shift frequently, and you need good instincts about where to focus.
• Strong project and time management skills; able to manage multiple priorities with minimal oversight.
• Curiosity and enthusiasm for emerging AI technologies and a genuine desire to become a subject matter expert on the Databricks platform and its AI capabilities.

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Senior Data Scientist / P3358

Summary

We are seeking a Senior Data Scientist to join our Proprietary Models team. In this role, you will play a critical part in developing, evaluating, and democratizing our foundation models portfolio—including embeddings, pre-trained LLMs, and fine-tuned language models. You will build and optimize embedding pipelines, design rigorous evaluation frameworks, drive models from experimentation to production, and guide business stakeholders through the process of integrating these models into their workflows. The ideal candidate combines deep technical expertise in machine learning and AI with strong problem-solving abilities, a commitment to engineering excellence, and a passion for enabling others to leverage AI effectively.

Responsibilities

Your work will cover a lot of ground, from engineering data pipelines to testing novel AI methodologies to guiding business stakeholders. You will be expected to flex between these skill domains as work progresses through its lifecycle, and to collaborate within a team to make it all happen.

• Develop and optimize embedding pipelines for vector search, retrieval-augmented generation (RAG), and downstream ML applications.
• Conduct rigorous model testing, evaluation, and validation against quality metrics, performance benchmarks, and reliability standards prior to release.
• Design and execute proof of concepts to demonstrate feasibility for specific business problems.
• Build and maintain automated testing frameworks for model performance, data quality, and pipeline integrity.
• Collaborate with MLE/Researchers/Engineers to develop, fine-tune, and deploy foundation models.
• Perform exploratory data analysis (EDA), feature engineering, and data preprocessing to support model development.
• Develop and maintain Jupyter notebooks, scripts, and workflows for reproducible experimentation and analysis.
• Contribute to building and maintenance of code packages, APIs, hosted applications, and other foundation model delivery mechanisms.
• Troubleshoot integration challenges and provide technical guidance for model integrations.
• Guide business stakeholders, data science and engineering teams through adoption and integration of foundation embedding and generative AI models.
• Create documentation, user guides, and best practices for internal model adoption and usage.
• Serve as a liaison between the Foundation Models team and business stakeholders, gathering feedback to inform the development roadmap.

Qualifications and Experience

Required

• Bachelor’s degree in Data Science, ML, Computer Science, or a related discipline
• 3+ years of hands-on experience in data science or machine learning roles
• 3+ years’ experience building in Python using big data tools (e.g. Hadoop, Databricks)
• Hands-on experience building processes incorporating LLMs, embeddings, or related model architecture
• Experience applying embeddings within AI projects and machine learning applications
• Track record of shipping, measuring, and maintaining machine learning models in production
• Exceptional communication skills with ability to explain complex technical concepts to non-technical audiences
• Experience in stakeholder management, technical documentation creation, and cross-functional collaboration

Preferred

• Experience building in cloud data platforms (i.e. Azure, GCP)
• Previous developer relations, technical evangelism, or advocacy experience
• Background in NLP, conversational AI, or generative AI applications
• Open-source contributions or thought leadership in AI/ML community

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84.51° is a retail data science, insights, and media company that helps brands grow by delivering smarter, more accountable marketing powered by Kroger’s first-party data. Kroger Precision Marketing (KPM) is our commercial arm, enabling brands to connect with customers through insights, incentives, and media.

Role Summary

Kroger Precision Marketing (KPM) recently launched a new AI Platform team to help product teams bring safe, scalable AI to market across our brand-facing platforms. We do that by (1) consulting on standards and guardrails; (2) accelerating reusable tools and early features, then transitioning long-term ownership to product teams; and (3) operationalizing a repeatable way to ship, monitor, and improve AI at scale.

As a Product Manager on this team, you will work alongside other PMs and a Product Director who sets the overall vision and strategy. You will own end-to-end initiatives that span multiple projects and features, from discovery through delivery and adoption, and you will be accountable for the business outcomes and KPIs those initiatives drive. You will also build and evolve reusable AI tooling for other teams, and consult with those teams to align strategies, reduce duplication, and ensure we ship AI consistently and safely across KPM’s brand-facing platforms.

Key Responsibilities

• Build the game plan: translate the AI portfolio vision into a clear roadmap for your initiatives
• Pick the right bets: focus the roadmap on the highest-impact work by weighing impact, effort, and risk, and deprioritizing the rest
• Stay ahead of the market: stay current on AI trends, vendors, and competitor moves, and use those insights to inform recommendations and influence our strategy
• Have a point of view, stay curious: form a clear perspective, seek input early, and adjust quickly when evidence points to a better approach
• Get close to users: partner with Experience Design to run discovery and define what we will build, why it matters, and why now
• Ship with momentum: drive delivery with Agile Delivery, Data Science, and Engineering by managing scope, dependencies, risks, tradeoffs, and timelines
• Prove and improve: measure outcomes against business KPIs, collect user and stakeholder feedback, and iterate based on real signal (qualitative and quantitative)
• Make it stick: support rollout and adoption, then hand off with clear enablement and accountability
• Scale the capabilities: own reusable AI capabilities, including skills, patterns, and tooling, that help teams across the company build smarter and faster
• Tell the story: communicate progress, tradeoffs, and decisions with clarity, and raise risks early with context and options
• Be the go-to partner: earn trust through strong follow-through, clear communication, and reliable decision-making, while balancing confidence with humility

Minimum Qualifications

• Product management: 3–5 years of product management experience
• AI/ML delivery: familiarity with the AI/ML product lifecycle, including data readiness, model development, deployment, monitoring, and governance
• GenAI fundamentals: working knowledge of prompting, retrieval-augmented generation (RAG), agent patterns and skills, and quality and safety evaluation
• Roadmap: ability to set priorities and drive execution independently
• Decision-making: ability to make calls, clarify tradeoffs, and create clarity in ambiguity
• Delivery: experience partnering with Experience Design, Data Science, Engineering, and Agile Delivery
• Communication: ability to translate between technical and business teams, manage stakeholders, and raise risks early with context and options
• Metrics: ability to define success, measure outcomes, and iterate based on real signal
• Leadership: a humble, direct leadership style, comfortable saying “I don’t know,” and confident leading toward an answer
• Collaboration: ability to move fast within security, governance, and complex stakeholder environments

Preferred Qualifications

• B2B platform: experience building products for large, diverse internal or external user bases
• Industry: familiarity with retail analytics, retail media, adtech, and data-driven marketing platforms
• Technical fluency: background in engineering, data science, analytics, or a highly technical product area, with the ability to go deep on architecture and delivery tradeoffs
• Experimentation and measurement: product analytics experience defining success metrics, selecting the right measures for the job (for example, using Google’s HEART framework), and running experiments to quantify user and business impact

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Director, Software Engineering – Agentic Foundations (P4474)

PREFERRED LOCATION: Cincinnati / Chicago

SUMMARY:

The AI Enablement team at 84.51° is seeking a Director of Software Engineering for its Agentic Foundations team. This team is responsible for designing, developing, and maintaining the agentic backbone of the Kroger enterprise, including platforms, patterns, and tools to support the best practice development of AI agents.

The Director of Engineering requires a unique mix of software engineering and AI skills necessary to lead the technical design of platforms, patterns, and tools to support the enterprise agentic ecosystem. This role has a focus on providing the technical leadership needed for engineering and data science development teams implementing solutions like agent/MCP/scorer/prompt registries, agent-related tools to aid in the development and monitoring of best practice agents and tools, and managing low-code and no-code agent platforms that integrate with agentic support.

RESPONSIBILITIES:

• Partner with the Director of Product Management for Agentic Foundations to jointly lead the space for the Kroger enterprise
• Lead and manage a team of engineers, guiding them in the design and development of their product/platform areas and in the management of their own reports
• Lead and manage hiring efforts for engineers on the Agentic Foundations team, including finding interview panelists, writing interview guides and questions, and assisting with coding screening questions
• Own and manage offshore reliability engineering teams
• Provide in-depth technical leadership in the scoping and implementation of enterprise-grade solutions to support agents across the Kroger enterprise
• Provide operational leadership across agentic platforms, ensuring enterprise-grade reliability, observability, and incident management
• Maintain an up-to-date expertise on agentic workflows, frameworks, platforms, and best practices to identify and inform new capabilities for implementation
• Foster a collaborative and innovative team environment, encouraging professional growth and development among team members
• Reduce the development time of the team by leveraging agentic SDLC tooling provided by the enterprise
• Lead the abstraction of tooling and services to user-friendly interfaces like APIs, Python packages, or UIs
• Understand business requirements and trade-off scale, risk, and accuracy to maximize value and translate research into consumable products or services
• Guide the development teams to follow software development standards, including version control, documentation, testing, and support
• Make time-sensitive decisions and solve urgent problems without escalation

QUALIFICATIONS, SKILLS, AND EXPERIENCE:

• 7+ years professional experience with cloud-based software architecture focused on scalability, performance, and reliability
• 7+ years professional experience with end-to-end SDLC leveraging CI/CD and AIOps/MLOps, including experience with agentic SDLC tooling
• 7+ years professional experience with large-scale AI/ML systems, including 2+ years with GenAI and deep learning methods
• Professional experience with production-grade agentic systems, including concepts like design and development, evals, deployment, and monitoring
• Professional experience with AI/ML frameworks and tooling (PyTorch, OpenAI SDK, LangChain, autogen)
• Professional experience with AIOps/MLOps tooling and concepts (MLflow, Model Registry, Model Monitoring)
• Professional experience with scaling and deploying AI/ML systems using tooling in Microsoft Azure and Google Cloud, including CI/CD, containerization, orchestration, and API development (in particular FastAPI)
• Professional experience with Kubernetes (AKS) and Helm
• Professional experience with Python
• Professional experience with infrastructure-as-code using Terraform
• Professional experience leading technical teams and consulting with customers, including managing senior engineers, communicating complex technical topics, and driving outcomes in ambiguous environments
• Skilled in partnering with product management peers to jointly define product and team direction and priorities
• Education: Bachelor’s degree or higher in Software Engineering, Computer Science, Machine Learning, or a related field

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#LI-Remote

Lead Software Engineer – Agentic Foundations (P4475, P4477)

LOCATION: Cincinnati / Chicago

SUMMARY:

The AI Enablement team at 84.51° is seeking a Lead Software Engineer for its Agentic Foundations team. This team is responsible for designing, developing, and maintaining the agentic backbone of the Kroger enterprise, including platforms, patterns, and tools to support the best practice development of AI agents.

The Lead Software Engineer will provide hands-on technical leadership across architecture, implementation, and operations of core agentic capabilities, including agent/MCP/scorer/prompt registries, evaluation and monitoring tooling, and low-code/no-code agent platforms that abstract complexity for developers and business users. You will partner closely with product management, data science, and engineering peers and leaders to deliver enterprise-grade capabilities that accelerate time-to-value, improve quality and reliability, and promote compliant, best-practice use of agentic systems.

RESPONSIBILITIES:

• Lead the design, development, and operation of core agentic platforms, services, and tooling used across the Kroger enterprise
• Own technical outcomes for a more specific product area, such as registries (agent/MCP/scorer/prompt), evaluation frameworks, observability/monitoring, SDKs/APIs/UIs, and low-code/no-code agent platforms
• Provide in-depth technical leadership to scope and implement scalable, secure, and reliable solutions;
• Uphold standards for architecture, code quality, testing, and documentation
• Partner with the Agentic Foundations leadership, as well as engineering and data science leads, to plan quarters/cycles/sprints and ensure efficient, predictable delivery
• Work with offshore reliability engineering teams to ensure SLAs are upheld
• Occasional participation in level 2 on-call support for production systems
• Abstract complex capabilities into developer-friendly interfaces (APIs, Python packages, CLIs, and UIs) to reduce friction and accelerate adoption
• Drive operational excellence across platforms, including incident management, on-call support, capacity planning, and cost optimization
• Mentor and guide engineers through code reviews, architecture discussions, and pairing; contribute to team growth, onboarding, and enablement

QUALIFICATIONS, SKILLS, AND EXPERIENCE:

• Professional experience with cloud-based software architecture focused on scalability, performance, and reliability
• Professional experience with end-to-end SDLC leveraging CI/CD and AIOps/MLOps, including experience with agentic SDLC tooling
• Professional experience with large-scale AI/ML systems, including 1+ years with GenAI and deep learning methods
• Professional experience with AI/ML frameworks and tooling (PyTorch, OpenAI SDK, LangChain, autogen)
• Professional experience with AIOps/MLOps tooling and concepts (MLflow, Model Registry, Model Monitoring)
• Professional experience with scaling and deploying AI/ML systems using tooling in Microsoft Azure and Google Cloud, including CI/CD, containerization, orchestration, and API development (in particular FastAPI)
• Professional experience with Kubernetes (AKS) and Helm
• Professional experience with Python
• Professional experience in ambiguous environments
• Skilled in problem solving, analytic thinking, and creativity
• Skilled in planning, organization, and verbal/written business communication
• Skilled in maintaining a positive leader persona in ambiguous and changing environments
• Demonstrated excellence as a teammate and leader
• 4-6 years relevant experience
• Education: Bachelor’s degree or higher in Software Engineering, Computer Science, Machine Learning, or a related field

#LI-SSS

#LI-Remote

Sr. ML Data Engineer, Relevancy Sciences – Personalization & Loyalty Strategy (P508)

The Relevancy Sciences Team is responsible for creating relevant and personalized customer experiences for Kroger's E-commerce platform, which ranks among the top 10 ecommerce companies in the US. We generate trillions of recommendations at scale and deliver them to millions of Kroger customers daily. Our team maintains a comprehensive portfolio of machine learning solutions for search & product recommendations. We are seeking a talented and experienced Senior ML Data Engineer to join our data science team, with specialized expertise in building search and recommender systems.

Role Overview

You will architect, build, and operate the critical data infrastructure that powers our machine learning models, spanning from feature engineering to training data generation. This role serves as the bridge between ML requirements and production data systems, with ownership of feature stores, training/evaluation pipelines, and ML-specific data operations. You will enable data scientists to iterate rapidly while ensuring production-grade reliability and scalability.

What You'll Do

1. Feature Store Operations & Governance (40%)

• Own the feature request lifecycle from intake through deployment, driving reusability and maintaining a searchable feature catalog
• Design and build scalable feature pipelines that compute features from diverse sources (BigQuery, Azure Data Lake) and write to Feature Store infrastructure (Vertex AI Feature Store + BigQuery)
• Build streaming feature engineering pipelines using Apache Beam/Dataflow for real time feature computation and low-latency model serving with sub-second data freshness
• Ensure point-in-time correctness and online/offline feature consistency to prevent data leakage
• Implement drift detection, data quality monitoring, and alerting mechanisms
• Develop self-service tools and templates that enable teams to independently create features

1. Training & Evaluation Data Pipelines (30%)

• Build automated pipelines that generate ML-ready training datasets by combining features with labeled target variables
• Implement point-in-time correctness logic and sophisticated sampling strategies to ensure balanced, representative datasets
• Maintain comprehensive dataset versioning for full traceability across model versions
• Generate detailed evaluation reports with performance metrics segmented by business dimensions
• Support operations across both Azure and Vertex AI environments during platform migration

1. ML Data Operations & Reliability (20%)

• Serve as Tier 2/3 on-call responder for feature data quality incidents, diagnosing and resolving pipeline failures and performance issues
• Maintain comprehensive lineage tracking and metadata management for full data traceability
• Support regulatory compliance through proper data governance and documentation

1. Standards, Education & Collaboration (10%)

• Establish and enforce feature naming conventions, data quality thresholds, and point-in-time correctness patterns
• Conduct workshops on feature engineering best practices and provide expert guidance on feature design
• Partner with Data Scientists, ML Engineers, Data Engineering, and MLOps teams to optimize infrastructure and align with technical strategy

What We're Looking For

Required Qualifications:

• 3+ years of hands-on experience building and maintaining ML data pipelines in production environments with demonstrated expertise in scaling and reliability
• Expert-level SQL skills and advanced Python programming capabilities with experience in data processing frameworks and ML libraries
• Proven experience with cloud data platforms, with strong preference for GCP ecosystem including BigQuery, Dataflow, Vertex AI Feature Store, and associated ML services
• Deep understanding of end-to-end ML workflows including training data preparation, model evaluation methodologies, and serving infrastructure requirements
• Production operations mindset with experience in monitoring, alerting, on-call responsibilities, and meeting SLA commitments

Strongly Preferred Qualifications:

• Hands-on experience with Feature Store platforms such as Vertex AI Feature Store, Feast, Tecton, or similar enterprise solutions
• Deep knowledge of point-in-time correctness principles, temporal joins, and time-series data modeling best practices
• Multi-cloud experience with both Azure and GCP platforms, including data migration and hybrid cloud architectures
• Strong familiarity with core ML concepts including feature engineering, label creation, train/test/validation splits, and data leakage prevention
• Background spanning both analytics engineering and ML-specific data engineering with understanding of the unique requirements of each domain

Success Indicators:

• Improved Data Science Productivity:Data Scientists spend significantly less time on data preparation and infrastructure concerns, enabling more focus on model development and experimentation
• Increased Feature Reuse:Measurable increase in feature reuse across multiple models and teams, reducing redundant development effort and improving consistency
• Reliable Automation:Training and evaluation data generation processes operate reliably with minimal manual intervention and high uptime
• Efficient Incident Response:Data quality incidents are triaged quickly with clear escalation paths and rapid resolution times
• Accelerated ML Iteration:Overall ML model development and iteration velocity improves measurably across all teams using the platform

#LI-SSS

#LI-Remote

SUMMARY:

We are seeking a dynamic, hands-on, strategic and highly collaborative Vice President, Strategic initiatives to lead cross-functional initiatives that drive technological innovation and operational excellence across the firm. This role will serve as a bridge between software engineering, infrastructure, marketing, financial services and leadership team, with a strong focus on delivering value through solutions that scale. 

You’ll be the architect and implementor of transformative projects — from AI-driven automations to system integrations supporting client acquisition and experience. This is a roll-up-your-sleeves role for a technically proficient leader with exceptional project vision, execution discipline, and an explorative mindset. 

This is an full time Exempt position with a salary range of $150-$180K annual salary. This position will be in our Folsom, CA, Addison, TX, Cincinnati, OH office or working remote. 

Key Responsibilities 

• Project Leadership & Execution 

• Lead high-impact, cross-disciplinary special projects across engineering, marketing tech, operations, and M&A needs. 

• Serve as the strategic and technical owner of initiatives involving AI, automation, strategic CRM enhancements or new tool selection, and marketing enablement tools. 

• Be a vocal champion for AI progress within the firm, partnering with the AI council on strategy and execution 

• Actively seek out meaningful, scalable use cases within the business where AI can unlock efficiency, insights, or innovation. 

• Work closely with the financial services group and Analytics team. 

• Technical Innovation & Hands-On Development 

• Evaluate, prototype, and implement modern technologies (AI/ML, automation frameworks, low-code platforms) including automation. 

• Work hands-on when necessary — writing proof-of-concept code, creating technical documentation, or leading architecture design. 

• Stay current on AI trends and capabilities enough to confidently assess what’s possible, what’s hype, and how to frame solutions that are both ambitious and achievable. 

• Platform Strategy & Integration 

• Find creative ideas to build and support data migration and conversion efforts related to acquisitions and business process optimization. 

• Have a strong focus of efficiency, scalability, security and adherence to compliance standards. 

•  Partner with Marketing, Service, advisors and Client Experience teams to co-implement technology-backed growth strategies. 

• Infrastructure & Scaling 

• Support the infrastructure team to select and deploy internal and client-facing tools that is scalable, secure, and efficient.  

• Leverage third party service providers and offshore vendors for expertise. 

• Research and find tools suited best for the business and perform POC to vet solutions for enhanced client experience and associate efficiency. 

Essential Skills & Qualifications 

Technical & Functional 

• Strong experience in software engineering and architecture (e.g., full-stack development, APIs, system integrations), project management and business analysis. 

• Expertise in: 

• Salesforce FSC (Financial Services Cloud) preferred. 

• HubSpot, Regal.io or other dialers, Tamarac or other Portfolio accounting systems 

• Data transformation/migration tools, Synapse or Microsoft Fabric data systems 

• AI/ML frameworks (e.g., OpenAI, StackAI, RAG frameworks) 

• Workflow automation (Zapier, Mulesoft, custom API integrations) 

Strategic & Operational 

• Proven track record of leading transformative cross-functional projects. 

• Experience supporting technology needs during mergers and acquisitions, especially data conversion and onboarding. 

• Deep understanding of RIA or financial services business is mandatory. 

Leadership & Collaboration 

• Highly communicative and capable of translating complex technology into business value. 

• Leadership experience in matrixed environments — able to influence without direct authority. 

• Curiosity-driven and comfortable navigating ambiguity. 

Preferred Background 

• Minimum bachelor’s in Computer Science, Engineering, or related field. 

• 10+ years of experience in software or systems engineering with a minimum of 3 years in a high growth RIA in a senior role 

• 5+ years experience in a similar role implementing transformative technical advancements.