Job Title: Associate Director, Advanced Analytics – US Specialty Care

• Location: Cambridge, MA

About the Job

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.

This role 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 will report to the Director, Advanced Analytics – US Specialty Care and will be based in Cambridge, MA.

Main Responsabilities

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 we build out advanced analytics capabilities, 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 the consistency of the 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 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 (i.e. logistic regression, GBM, XGBoost, Random Forecast, propensity score matching, inverse probability weighting etc), and artificial intelligence - to generate predictive and prescriptive insights that drive the business strategic decision-making and find 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 be able to translate complex data findings to clear actionable recommendations for commercial and cross-functional team to drive revenue growth.

• Create dashboards and analytical tools to synthesize information and enable data-driven business decisions

• Automate the work process leveraging AI tool (i.e. Cursor, Claude Code) to accelerate the work efficiency

Modeling Project Leadership

• Provide overarching project direction - translate 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 other 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 on socializing project outputs, facilitate pull-through with business stakeholders

About You

Basic Qualifications:

• Bachelor’s degree

• Minimum of 7+ years of Commercial Analytics, Forecasting, Sales Operations, or Consulting experience, including 2+ years of direct involvement of 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 (i.e., 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

Preffered Qualifications:

• Master’s Degree or MBA preferred

• 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

The salary range for this position is:

All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs. Additional benefits information can be found through the .