SUMMARY: 

Bring in an AI-first practitioner who compresses delivery timelines by orchestrating Claude (and other LLMs) across the full development lifecycle, while maintaining the architectural and product judgment that makes the output durable. This person is force-multiplier-shaped: one of them replaces a small team for the right kind of work and produces artifacts that survive enterprise review.

PRIMARY DUTIES:

How This Person Operates

• Directs and guides AI across planning, solution design, development, documentation, and UAT — treating the AI as a capable but literal collaborator that needs clear acceptance criteria to perform well
• Defines what "good" looks like up front (acceptance criteria, conformance checks, architectural fit) and validates AI output against that standard rather than rubber-stamping it
• Owns end-to-end delivery from ideation through production and iteration; acts as product thinker, architect, and delivery lead — not just an executor
• Practices context engineering knows what reference material (code collections, schemas, utility libraries, prior decisions, SOPs) to feed the model, how to scope work so AI has enough context to succeed but not so much it drifts, and how to manage long-running sessions and context windows
• Builds living documentation as a deliverable, not an afterthought — Mermaid/BPMN diagrams, structured SOPs, and conformance criteria that make AI output checkable against intent over time
• Breaks work into well-defined, digestible units with clear acceptance criteria
• Validates requirements with business stakeholders to surface and eliminate legacy holdovers rather than encoding them into new systems

COMPENTENCY:

Ideal Background

• Hands-on developer history combined with architectural and product ownership; can drop into code to debug, spike, or validate AI output, but doesn't default to hand-coding as the primary delivery mode
• Experience owning product state and requirements, not just implementing tickets
• Comfortable questioning legacy patterns, improving designs rather than replicating them, and pushing back constructively on stakeholder requests that don't hold up
• Has worked inside enterprise environments with real constraints (security, change management, internal source control, data governance) — this is not a greenfield startup role

AI Fluency Expectations

• Uses LLMs to perform the majority of development and maintenance work; spends their own time on planning, orchestration, validation, and outcome alignment
• Knows how to be prescriptive with AI — preventing it from doing the bare minimum, catching when it confabulates, and structuring prompts and context so output is fit-for-purpose the first time rather than the third
• Exercises judgment about when not to use AI — recognizes when a 10-minute hand edit beats a 40-minute prompt-and-validate cycle. Avoids AI ceremony for its own sake.
• Familiar with patterns like CLAUDE.md / project context files, MCP servers and tool integration, structured outputs, and managing parallel or long-running agent sessions
• Claude Certified Architect (CCA) credential is a plus but not required; demonstrated production work matters more than the badge

Tools / Environment

• Required: GitHub (comfortable with enterprise/internal GitHub instances, not just public repos); strong source control discipline
• Strongly preferred: Claude (Desktop, Code, or both); experience configuring MCP servers and skills for enterprise contexts
• Plus: SQL Server / data warehousing background; XML/XQuery exposure or willingness to ramp on MarkLogic; insurance or other regulated-industry experience
• Comfort with mainstream stack tools is assumed (CI/CD, basic cloud literacy, common IDEs)

EXPERIENCE: 

• Overall experience: 8–15+ years
• AI-first / LLM workflow experience: 1–3+ years (or equivalent demonstrated production use)

LANGUAGE SKILLS: English

PHYSICAL DEMANDS: 

• Regular use of hands and fingers to operate a computer keyboard, mouse, and other office equipment.
• Regular, repetitive movements such as typing, mouse movements, and scrolling. Ability to hear and understand spoken communications, both in person and via remote communication tools (e.g., phone, video conferencing).
• Ability to see and read computer screens and printed documents, as well as adjust focus. This includes prolonged periods of looking at a computer screen.

WORK ENVIRONMENT: Onsite preferred but will consider fully remote candidates

EXPECTED HOURS OF WORK: Monday–Friday, 40 hours per week, with flexibility as required to meet project deadlines or customer needs.

TRAVEL:  NA

***This is a hybrid role and the candidate is expected to work in the office and/or job site 3 days a week. 

THE ROLE:

Are you passionate about driving innovation in the data storage industry? Are you skilled in crafting technical solutions that exceed customer expectations? If so, we have an exciting opportunity for you! Everpure (formerly Pure Storage), a leader in the data storage and flash technology space, is seeking a talented and motivated Senior Pre-Sales Systems Engineer to join our dynamic team. 

As a Senior Pre-Sales Systems Engineer, you will play a crucial role in understanding our customers' unique challenges and tailoring Everpure solutions to meet their specific needs. Collaborating closely with the sales team, you will act as a technical expert during the sales process, helping to showcase the value of our products and services.

The selected candidate must reside in the Cincinnati/Dayton area.

WHAT YOU’LL DO:

• Develop an exhaustive understanding of what drives a customer’s business and what motivates their decision making
• Connect the dots from technology solutions, inclusive of the Everpure portfolio and others from the ecosystem, to measurable customer business outcomes
• Partner closely with account managers, specialists and channel partners to create a seamless and holistic customer experience and strategy to drive revenue growth and net new business
• Delight customers and teammates with your technical leadership and domain expertise on storage products, distributed storage architectures, file systems, and competitive storage offerings in the DAS, NAS and SAN product spaces
• Take control of evaluations,  benchmarks and system configurations
• Build and deliver technical product and architecture presentations with vigor to customers and lock in the technical win with clients and prospective accounts
• Capture requirements and translate Customer’s business needs into innovative solutions to accelerate their growth and capacity
• Seek out and spur new opportunities for interoperability, functional, and performance testing/validation
• Promote mutual roadmap and planning exchanges
• Liaise with product and technical marketing to produce materials (i.e. whitepaper, web presentations) that support overall alliance plans and objectives
• Stay current with the competition and ensure that materials accurately reflect the latest, differentiated solution positioning
• Move with market trends and competitive landscape to promote thought leadership within our organization
• Lead by example living the Everpure Values:  Persistence, Creativity, Teamwork, Ownership and Customer-first  

WHAT YOU BRING:

• Pre-sales experience is required
• 5 or more years of relevant experience, mixed among technology, design, and communications required. Experience supporting the sales of enterprise storage, networking, systems, cloud, or software to enterprise accounts preferred
• Deep understanding of the architecture, design and implementation of multi-tiered client/server and web-based computing solutions
• Must have a familiarity with modern web architecture a plus (LAMP stack, scale-out vs scale-up architectures, AWS well-architected framework, microservices architecture)
• Prior experience in targeting new prospects and converting them into clients
• Contribute significant portions and/or lead responses to RFPs, RFQs and RFIs
• Superior knowledge of current and emerging storage architectures (FC, iSCSI, NAS, OSD, SAN)
• Previous experience with Linux, NFS file systems and Linux distributed network environment
• Installation/configuration of distributed computing, multiprocessing, virtual memory subsystem, storage subsystems architecture, shared memory architectures, cache architectures, windowing systems
• Strong knowledge of digital transformation to a Cloud Native architecture, On-Prem, Public Cloud, Provisioning Automation, and Containers
• Knowledge of VMware, Local Area Networking, Ethernet, TCP/IP and general networking
• Familiarity with AWS, Azure, GCP, containers, k8s and microservices architectures a plus
• Curiosity and passion around technology and explaining and showing new technology platforms and concepts to customers
• Familiarity with storage-intensive applications and their requirements such as structured databases (SQL, Oracle) is highly desirable
• Excellent verbal and written interpersonal skills

#LI-REMOTE

#LI-JL4

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.

• Build automated dashboards from scratch using Power BI and/or Tableau
• Perform statistical data analysis on large data sets, resulting in impactful insights and outcomes
• Work with a variety of clients in a variety of industries to source required data for dashboards
• Provide strategic input on data-driven decision-making and proper KPI’s
• Develop net new calculations to produce required dashboard metrics/KPI's
• Build and maintain user documentation, architecture designs, and data flow diagrams
• Solve challenging problems by utilizing analytics
• Identify opportunities to add value to the client's organization by effective use of information management
• Build relationships with key stakeholders responsible for information and performance management in client's organization
• Lead change management efforts in client’s organization

• Two (2) years of hands-on development experience with Microsoft Business Intelligence stack utilizing a variety of BI tools
• Ability to thrive in a fast-paced, dynamic, client-facing role where delivering solid work products to exceed high expectations is a measure of success
• Excellent leadership, communication, and interpersonal skills
• (Preferred) Experience in utilizing tools such as R, SAS, Python, etc.
• Strong analytic skills related to working with structured and unstructured datasets
• Build processes supporting data transformation, data structures, metadata, dependency, and workload management
• A successful history of manipulating, processing, and extracting value from large, disconnected datasets
• Ability to interface with multiple other business functions (internally and externally)
• Desire to build analytical competencies in others within the business
• Curiosity to ask questions and challenge the status quo
• Creativity to devise out-of-the-box solutions
• Ability to travel as needed to meet client requirements

• Competitive pay and bonus 
• Travel incentive bonus structure
• Flexible time off
• Investment in your growth and development
• Full health, vision, dental and life benefits
• Paid parental leave
• 3:1 charity match

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.