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

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

Job Summary  
The Product Solutions Designer on the Enterprise AI and Automation team is, at its core, a design and discovery role. You will dig into ambiguous business problems, map the processes behind them, and design the solution, both the user experience and the workflow underneath it. Design here means more than just visual polish, it means understanding how a process should work before a single screen is built.  

Once you know what needs to exist, you'll build it. You will use AI-assisted development tools and no-code platforms to move from concept to working prototype. Some solutions may stay as low-code internal tools, others will utilize team resources to scale up to full on applications, but you will own the solution end-to-end: discovery, design, and delivery.  

You thrive with autonomy. You are comfortable navigating ambiguity, making decisions with incomplete information, and delivering results without heavy oversight. You want to solve real problems. 

What You’ll Do  

• Intake and discover. Triage requests from across the organization, determine what is worth solving, and conduct the discovery work needed to understand it. This includes process mapping, stakeholder interviews, data analysis, and workflow documentation.  

• Design the solution. Own the end-to-end user experience. Create wireframes, user flows, and interface designs that are clear and functional. Design means both the visual layer and the process underneath it.  

• Build and ship. Use low-code platforms, no-code tools, and AI-assisted development to move from design to working prototype. You do not need to be a software engineer, but you need to be able to deliver something real.  

• Collaborate and scale. Work with the rest of the team to transition prototype solutions into wide-scale applications.  

• Manage your own work. Own your portfolio of projects and communicate status without needing to be closely managed.  

What We Need  

• Experience. 8+ years in roles that combine problem-solving, process improvement, and hands-on solution delivery. The specific title does not matter; the experience does.  

• Design and UX. You design interfaces that are clear, functional, and intuitive. Usability is the priority, you can take a messy business process and turn it into something people actually want to use. Proficiency in Figma or similar tools required.  

• Presence and communication. You can lead intake conversations with stakeholders across the organization, ask the right questions to understand what needs to be built, and translate what you learn into clear designs and recommendations.  

• Discovery and analytical skills. You can dig into a business process, identify where it breaks down, analyze data to understand the real problem, and articulate what needs to change.  

• Building experience. Hands-on experience with low-code platforms (e.g., Retool) and comfort with AI-assisted development tools (e.g., Claude Code, Cursor, Copilot). You do not need to be a traditional software engineer, but you must leverage these tools to ship working solutions.  

• Data fluency. You understand how databases work, can explore data in tools like Snowflake, and are comfortable using AI to generate and refine queries and pull your own insights without relying on a data team.   

Desired Qualifications  

• Technical familiarity. Exposure to data pipelines, integrations, or API-based workflows. Familiarity with JavaScript/Python at a read-and-modify level, enough to work with AI assistance, not enough to architect a platform.  

• Tooling experience. Familiarity with CRM platforms (Salesforce) and project management tools (Jira, GitHub). You will likely encounter both regularly.  

• Process and operations background. Experience with process mapping tools (Lucidchart, Miro, BPMN) and familiarity with business process automation or operations consulting.  

• Comfort with ambiguity and range. You have worked in environments where roles were not rigidly defined and you owned outcomes across multiple functions. You are energized by variety, not overwhelmed by it.  

What You'll Need to Succeed  

• Autonomy and resourcefulness. You do not wait to be told what to do. You can identify problems, propose solutions, and execute. When you do not know how to do something, you figure it out or you reach out for the right resources.  

• Range and adaptability. Some days you are a designer, some days a builder, some days an analyst. You shift between modes comfortably and do not see rigid role boundaries.  

• Bias toward action. You would rather ship something imperfect and iterate than spend weeks perfecting a plan. You know when “good enough” is the right answer, and when something needs real discovery first.  

• Willingness to teach. You are comfortable being the person people come to with AI questions, and you can explain what these tools can and cannot do without overselling or gatekeeping.  

• You lead through craft and influence — mentoring peers, establishing frameworks, and raising the bar for product excellence without a reporting structure. 

• Passion for building products that create meaningful impact in healthcare. 

Base Salary Band: $100,000-$170,000

Compensation: At PatientPoint, we are committed to providing competitive pay and benefits that are in line with industry standards. We analyze and carefully consider several factors when determining compensation, including skills, qualifications, geographic location, and professional experience, which can cause your compensation to vary. The base salary range listed is just one component of PatientPoint’s total compensation package for employees. For additional details on our total benefits package, please review the section “About PatientPoint” at the end of this job description.

WHAT WE DO

Our Data and Analytics consultants work with clients at all levels of the organization, from the C-suite to the shop floor, helping them to deliver on their most strategic initiatives. We’re known for making realistic, data-driven decisions that deliver value in tangible ways to our clients. Our clients ask for us on projects that require a superior combination of technical and business capabilities, people and management skills, and a collaborative mindset. We excel in understanding complex programs and strategic initiatives and breaking them into actionable pieces.

We are actively looking for professionals in the following areas:

• Data Strategy
• Data Governance
• Data Modernization
• Advanced Analytics
• Data Visualization

The ideal candidate’s experience may include but is not limited to the following:

• Have experience understanding and solving real business problems
• Have experience with presenting business case and strategy to the C-Suite
• Bring industry domain knowledge for custom data and analytics strategies
• Experience in designing and implementing data driven products and services
• Experience in designing and building high performance collaborative business and technology teams that deliver high value data solutions, data products and data analytics

Ideal candidates may call themselves Data Architects, Data Engineers, Data Scientists, Analysts and Data Governance professionals. Experience may include but not limited to the following:  

Data Strategy and Governance

• Intimately familiar with data technologies, data architecture frameworks, cloud platforms and the emerging trends in technological advancements.
• Proven experience in transforming our clients from on-prem data platforms to the cloud.
• Lead data modernization initiatives that include platform, technology and tools implementation and adoption.
• Must have experience in architecting and implementing data architecture, data engineering, reporting and analytical solutions across multiple business functions and domains.
• Conduct data management maturity assessments and identify pain points for including data quality, governance, architecture, analytics, metadata management, master data management.
• Demonstrate a rigorous and analytical problem-solving approach, leading information-gathering sessions and preparing and delivering client presentations and work products/prototypes.
• Identify data governance gaps and assess data governance maturity in a complex data environment. Should also be able to Identify the implications for data governance that arise from the technology, current processes, and skill levels in a complex data environment.

Data Architecture and Engineering

• Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing.
• Experience designing and building data platforms that support data lakes, data stores, data ingestion and transformations and API services for consuming data
• Ability to design and build complex data pipelines that either stream data in
• Experience and knowledge of programming and scripting languages, such as but not limited to Python, Node.JS and SQL
• Experience and knowledge of data integration tools and platforms
• Experience and knowledge of relational and dimensional database structures, theories, principles, and practice used in data warehousing and analytics solutions
• Ability to design and build data models using the appropriate technics to meet business objectives
• In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies.

Advanced Analytics and Data Visualizations

• Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire
• Experience with statistical and mathematical modeling, artificial intelligence and machine learning software and methods
• Experience and knowledge of programming and scripting languages such as, but not limited to, SQL, Python and R
• Experience with data modeling, data prep and machine learning tools like Alteryx, RapidMinder, RStudio and Tableau Prep
• Experience and knowledge of relational and dimensional database structures, theories, principles, and practice used in data warehousing and analytics solutions
• Experience deploying enterprise-wide reporting solutions while leveraging data visualization best practices

A career at SEI extends well beyond providing great service and thought leadership to our clients. Everyone takes an active role in building and managing our business, in an environment that runs counter to traditional consulting firms. Our consultants have a “seat at the table” and contribute to growing our business in ways that align to their interests such as growing business development opportunities, conducting interviews to support our hiring process, managing internal initiatives that build our brand or organizing trainings to share what you know with your colleagues. There is no telling what an SEI Consultant will be asked to do on a day-to-day basis – we do what it takes to get the job done.

QUALIFICATIONS

Required-

• Alignment to our core values: Excellence, Participation, Integrity and Collaboration
• Hungry, Humble, Smart
• Demonstrated business and technology acumen
• Strong written and verbal communication skills
• Understanding and experience solving real business problems
• Proven track record of delivering results
• Experience working with and/or leading a team
• Ability to work across industries, roles, functions & technologies
• Authorization for permanent employment in the United States (this position is not eligible for immigration sponsorship)

Preferred-

• Bachelor’s degree
• 8+ years professional experience
• Experience across our service offerings