Associate Director, Advanced Analytics, US Specialty Care

Sanofi is an R&D-driven, AI-powered biopharma company committed to improving people's lives and delivering compelling growth. Our deep understanding of the immune system and innovative pipeline enables us to invent medicines and vaccines that treat and protect millions of people around the world.

About the role

The Associate Director, Advanced Analytics US Specialty Care will serve as the analytics lead for the US Specialty Care portfolio (non-Dupixent brands), responsible for predictive analytics, marketing effectiveness measurement, and budget optimization across multiple therapeutic areas via various datasets (including claims data, internal salesforce, and digital media data). This individual will leverage AI/ML models and marketing mix methodologies to generate actionable insights that drive promotional effectiveness and inform strategic resource allocation decisions.

This role sits within the GTMC (Go-to-Market Capabilities) NA Organization, within the Insights & Analytics pillar. The Associate Director will be an integral partner to US Specialty Care Brand, Commercial, and Media teams, helping to answer both the "why" questions via driver analyses and the "what next" questions through marketing mix insights and optimization recommendations. The individual will also collaborate closely with the broader Analytics and Omnichannel teams to ensure consistency of business logic and analytical best practices across all deliverables.

This position reports to the Director, Advanced Analytics US Specialty Care and will be based in Cambridge, MA.

Responsibilities

• Cross-Functional Partnership
  • Partner with Senior Leadership, Brand, and Commercial teams to understand business priorities, providing strategic guidance and ad-hoc analytical support as the Advanced Analytics subject matter expert.
  • Lead a team in the offshore hub, helping onboard them as advanced analytics capabilities are built out, and partner with them on projects.
  • Collaborate with Sanofi Data Management team and global digital team to ensure robust data infrastructure and quality.
  • Collaborate with Brand Analytics, Field Reporting team, Media leads, and Data Management team to validate that salesforce execution, marketing, and media data are accurately input into analytical models and ensure consistency of business logic across all analytical deliverables.
  • Partner with Brand, Media team, and Marketing leads to assess media investment scenarios via optimizer tools that leverage response curve outputs of marketing mix models.
  • Collaborate with the global digital team to conduct Turing (tool deployed to the field for Veeva suggestions or next best action, etc.) impact analysis.
  • Lead upskilling efforts and support implementation of new ways of working; conduct workshops and training sessions with brand and media teams as well as agency partners to foster best practices.
• Hands-On Insights Generation
  • Apply data science techniques including machine learning, statistical modeling (e.g., logistic regression, GBM, XGBoost, Random Forest, propensity score matching, inverse probability weighting), and artificial intelligence to generate predictive and prescriptive insights that drive strategic decision-making and identify business opportunities.
  • Clean, aggregate, and organize data from disparate sources including salesforce execution data (calls, speaker programs, lunch and learns, RTEs) and digital data (display, social, search, etc.) via SQL and/or Python.
  • Design, execute, and interpret analyses of large healthcare datasets and translate complex data findings into clear, actionable recommendations for commercial and cross-functional teams to drive revenue growth.
  • Create dashboards and analytical tools to synthesize information and enable data-driven business decisions.
  • Automate workflows leveraging AI tools (e.g., Cursor, Claude Code) to accelerate work efficiency.
• Modeling Project Leadership
  • Provide overarching project direction by translating key business questions into analytical frameworks and serve as the subject matter expert on data, modeling methodology, outputs, and applications.
  • Lead Marketing Mix Modeling (MMM) analyses across US Specialty Care brands, from data preparation to modeling to insights delivery and budget optimization recommendations to leadership.
  • Lead or collaborate with other analytical teams on predictive and statistical modeling (e.g., HCP segmentation, patient finding, diagnosis onset prediction, patient journey prediction, campaign impact measurement, A/B testing on Salesforce effectiveness, early adopter analysis to prepare competitive launch, etc.).
  • Liaison with Sanofi Digital Data Science and Data Engineering teams in the development and maintenance of internal marketing effectiveness models and self-service analytical tools.
  • Lead socialization of project outputs and facilitate pull-through with business stakeholders.

Requirements

• Basic Qualifications
  • Bachelor’s degree.
  • Minimum of 7+ years of Commercial Analytics, Forecasting, Sales Operations, or Consulting experience, including 2+ years of direct involvement in advanced analytics using ML models.
  • Advanced analytical skills with proficiency in programming languages (e.g., SQL, Python, R, SAS, VBA).
  • Experience using analytical platforms (e.g., Snowflake, Jupyter Notebook, SAS Studio, SQL developers).
  • Experience with pharmaceutical sales & claims data (e.g., IQVIA, Symphony, Komodo), SP data, salesforce execution data (calls, speaker programs, lunch and learns, RTEs), and digital data (e.g., display, social, search, etc.).
  • Strong analytical acumen and quantitative skills with a demonstrated ability to translate information and data into actionable insights and strategic recommendations.
  • Comfort and good intuition around advanced analytics, with a proficient understanding of modeling techniques (e.g., Marketing Mix Modeling, Bayesian statistics, propensity score matching, regression, clustering/segmentation, driver analyses, A/B testing).
  • Deep understanding of sales, marketing, and media data, including agencies.
  • Familiarity with data visualization and business intelligence tools (e.g., PowerBI, Tableau).
  • High proficiency in MS Office (Excel, PowerPoint, Word).
  • Strong proven leadership, communication, and presentation skills with experience leading cross-functional projects with complex stakeholder management.
  • Demonstrated ability to work in a matrixed environment with many cross-functional partners.
  • Self-starter, proactive in nature, and actively participates.
  • Ability to understand and influence decisions.
• Preferred Qualifications
  • Master’s Degree or MBA.
  • Strong communication skills with executive presence.
  • Certification in Data Science or Artificial Intelligence / Machine Learning.
  • Experience with Claude Code and Cursor to accelerate work efficiency.
  • Experience with Marketing Mix Modeling (MMM) analyses within the US Pharmaceutical space.
  • Experience in Pharmaceutical/Healthcare industry, and ideally in Specialty Care therapeutic areas including Oncology, Hematology, Rheumatology, and/or Immunology.
  • Experience with media platform reporting tools (e.g., CM360, Search Ads 360, Meta Business Manager).
  • Experience with site analytics platforms (e.g., Google Analytics, Adobe Analytics).
  • Experience working with CRM data systems (e.g., Veeva, Salesforce, Merkle).
  • Experience working with SP data files (e.g., Capgemini).
  • French language proficiency is an advantage, but not a requirement, as some digital team members are based in Paris, France.

Benefits

• Bring the miracles of science to life alongside a supportive, future-focused team.
• Discover endless opportunities to grow your talent and drive your career, whether through a promotion or lateral move, at home or internationally.
• Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.
• Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs, and at least 14 weeks of gender-neutral parental leave.
• Make your work count by supporting a company that brings life-changing treatments to millions and is committed to doing right by patients, communities, and the planet.
• Drive progress from within by helping simplify, scale, and modernize how a global biopharma business delivers smarter, faster, and more sustainably.
• Support teams across science, medicine, and operations by building better systems, shaping bold strategies, and enabling innovation at speed.