Data & AI Manager

Saatchi & Saatchi Health is a pharmaceutical advertising agency that combines creativity, data, and technology to create impactful healthcare campaigns and outcomes. The Data & AI Manager will develop healthcare audience models and analytics, build applied AI products and evaluation frameworks, support campaign measurement, and create reusable dashboards and tooling while partnering with internal teams and clients.

Responsibilities

• Develop HCP propensity, lookalike, and segmentation models on medical and pharmacy claims, plus the patient journey, line-of-therapy, switching, and adherence analyses underneath them. Deliver outputs in a form media and strategy partners can activate
• Most of this work starts as a hard query against large, messy claims data. This is the core craft of the role
• Work on initiatives such as synthetic market-research persona panels, automated client reporting, and new-business audience generation, helping move them from working prototypes toward reliable production solutions
• Help define quality standards for AI-generated outputs, including audience narratives and physician panel simulations. Build evaluation sets and scoring frameworks that determine when outputs are trustworthy and when they are not
• Support the design of holdout, geo, and matched-market tests, and help interrogate the measurement our media partners deliver rather than taking it at face value
• Create scalable solutions so recurring analyses do not route through one person every time. Help establish standards and best practices as the team continues to grow
• Partner with Strategy, Media, Account, and Creative teams and, over time, develop confidence presenting directly to clients

Preferred

• Healthcare claims experience with Symphony, IQVIA, or similar open-claims/APLD data, including fluency with ICD-10, NDC, NPI, and line-of-therapy logic. This is the single biggest accelerator into the role
• Pharmaceutical or healthcare marketing experience, including HCP and/or DTC marketing and an understanding of how MLR review and data-use restrictions shape what can be delivered
• Experience with consumer or digital data sources including Epsilon, Adobe Analytics, GA4, or similar datasets and platforms
• Experience with incrementality testing, attribution, or campaign measurement
• Experience building products or workflows using LLMs or routinely working AI-assisted as part of your development process
• Experience with Streamlit, dashboarding, programmatic deck generation, or other prototyping tools that help bring ideas to life quickly
• Healthcare claims data
• Symphony
• IQVIA
• Open-claims data
• APLD data
• ICD-10
• NDC
• NPI
• Line-of-therapy logic
• Pharmaceutical marketing
• Healthcare marketing
• HCP marketing
• DTC marketing
• MLR review
• Data-use restrictions
• Consumer data
• Digital data
• Epsilon
• Adobe Analytics
• Incrementality testing
• Attribution
• Campaign measurement
• LLM product development
• LLM workflow development
• AI-assisted development
• Streamlit
• Dashboarding
• Programmatic deck generation
• Prototyping tools

Benefits

• Medical coverage
• Dental
• Vision
• Disability
• 401K
• Parental and family care leave
• Family forming assistance
• Tuition reimbursement
• Flexible time off
• For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off.

Company

• Customer data and marketing services for personalized brand experiences.
• Irving, Texas, USA
• https://www.epsilon.com/us
• Founded in 1969
• 5001-10000 employees

Qualifications

• 5-7 years in data science, marketing analytics, or a related analytical role
• Advanced SQL. You can write production-grade queries against a cloud warehouse (Amazon Redshift) over large, messy transactional data. This is the hard requirement
• Python for analysis and modeling, including pandas, scikit-learn, and some exposure to gradient boosting (XGBoost or similar). Version control as a habit
• A solid foundation in statistics and experimentation. You understand concepts such as holdouts, testing methodologies, and the distinction between correlation and causation
• Ability to explain complex analyses clearly to non-technical stakeholders and defend methodology when needed
• Curiosity about applied AI and enough hands-on exposure to have formed opinions about where LLM output succeeds and where it falls short
• Healthcare claims experience with Symphony, IQVIA, or similar open-claims/APLD data, including fluency with ICD-10, NDC, NPI, and line-of-therapy logic. This is the single biggest accelerator into the role
• Pharmaceutical or healthcare marketing experience, including HCP and/or DTC marketing and an understanding of how MLR review and data-use restrictions shape what can be delivered
• Experience with consumer or digital data sources including Epsilon, Adobe Analytics, GA4, or similar datasets and platforms
• Experience with incrementality testing, attribution, or campaign measurement
• Experience building products or workflows using LLMs or routinely working AI-assisted as part of your development process
• Experience with Streamlit, dashboarding, programmatic deck generation, or other prototyping tools that help bring ideas to life quickly
• 5-7 years in data science, marketing analytics, or a related analytical role.

Required skills

• Advanced SQL, Amazon Redshift, Applied AI, Healthcare Claims Analytics, Large Language Models (LLMs), Pharmaceutical Marketing, Python, Statistics, XGBoost, pandas, scikit-learn

Experience

• 5-7 years