Data & AI Manager

Saatchi & Saatchi Health is a pharmaceutical advertising agency that combines creativity, data, and technology to support healthcare clients. The Data & AI Manager will build claims-based audience models, develop applied AI products, evaluate AI-generated outputs, analyze campaign performance, and create dashboards and reusable tools 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 analysis
• 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 sources
• Digital data sources
• Epsilon
• Adobe Analytics
• Incrementality testing
• Attribution
• Campaign measurement
• LLM product development
• AI-assisted development
• Streamlit
• Dashboarding
• Programmatic deck generation
• Rapid prototyping tools

Benefits

• Medical coverage
• Dental coverage
• Vision coverage
• Disability coverage
• 401K
• Parental and family care leave
• Family forming assistance
• Tuition reimbursement
• Flexible time off
• Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met.
• For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off.

Company

• Full-service marketing agency for advertising campaigns.
• Montreal, Quebec, CAN
• https://www.publicis.ca/
• Founded in 1998
• 501-1000 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, Gradient Boosting, Healthcare Claims Analytics, ICD-10, LLM Development, Line-of-Therapy Analysis, NDC, NPI, Python, Statistics and Experimentation, pandas, scikit-learn

Experience

• 5-7 years