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Associate Director, Advanced Analytics, US Gen Meds & Vaccines

Job in Morristown, Morris County, New Jersey, 07960, USA
Listing for: Sanofi
Full Time position
Listed on 2026-06-02
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

Associate Director, Advanced Analytics – US Gen Meds & Vaccines

Location:

Morristown, NJ

The Associate Director, Advanced Analytics – US Gen Meds & Vaccines will serve as the analytics lead for the US General Medicines & Vaccines portfolio, responsible for predictive analytics, marketing effectiveness measurement, and budget optimization across multiple therapeutic areas using claims data, internal Salesforce and digital media data. The role formats AI/ML models and marketing mix methodologies to generate actionable insights that drive promotional effectiveness and inform strategic resource allocation decisions.

It is embedded within the GTMC NA Organization, within the Insights & Analytics pillar, and reports to the Director, Advanced Analytics – US Gen Meds & Vaccines.

Responsibilities
  • Partner with Senior Leadership, Brand, and Commercial teams to understand business priorities and provide strategic guidance and ad‑hoc analytical support as the Advanced Analytics subject matter expert.
  • Lead an offshore team, onboarding them and collaborating on projects.
  • Collaborate with Sanofi Data Management and global digital teams to ensure robust data infrastructure and quality.
  • Validate Salesforce execution, marketing, and media data in analytical models and ensure consistency of business logic across all deliverables.
  • Assess media investment scenarios via optimizer tools that leverage response curve outputs of marketing mix models.
  • Conduct Turing impact analysis with the global digital team.
  • Lead upskilling efforts and workshops with brand, media teams, and agency partners.
  • Apply data science techniques, including machine learning, statistical modeling, and AI, to generate predictive and prescriptive insights.
  • Clean, aggregate, and organize data from disparate sources using SQL and/or Python.
  • Design, execute, and interpret analyses of large healthcare datasets and translate findings into actionable recommendations.
  • Create dashboards and analytical tools to synthesize information and enable data‑driven decisions.
  • Automate processes using AI tools to accelerate work efficiency.
  • Provide overarching project direction and translate key business questions into analytical frameworks.
  • Lead Marketing Mix Modeling analyses across brands and deliver budget optimization recommendations.
  • Collaborate with other analytical teams on predictive modeling, segmentation, patient journey prediction, and campaign impact measurement.
  • Maintain and develop internal marketing effectiveness models and self‑service analytical tools.
  • Facilitate the dissemination of project outputs to business stakeholders.
Qualifications Basic Qualifications
  • Bachelor’s degree.
  • Minimum of 7+ years of Commercial Analytics, Forecasting, Sales Operations, or Consulting experience, including 2+ years of direct advanced analytics using ML models.
  • Advanced analytical skills with proficiency in SQL, Python, R, SAS, or VBA.
  • Experience with analytical platforms such as Snowflake, Jupyter Notebook, SAS Studio, or SQL developers.
  • Experience with pharmaceutical sales & claims data (IQVIA, Symphony, Komodo), SP data, Salesforce execution data, and digital data.
  • Strong quantitative skills and ability to translate data into actionable insights.
  • Proficiency with marketing mix modeling, Bayesian statistics, propensity score matching, regression, clustering, segmentation, driver analyses, and A/B testing.
  • Understanding of sales, marketing, and media data including agencies.
  • Familiarity with Power

    BI, Tableau, and other BI tools.
  • High proficiency in MS Office.
  • Strong leadership, communication, and presentation skills with experience managing cross‑functional projects and stakeholder relationships.
  • Ability to work in a matrixed environment 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.
  • Experience with Marketing Mix Modeling within the US Pharmaceutical space.
  • Experience in General Medicines and/or Vaccines, including Diabetes, Flu, and/or RSV.
  • Experience with media platform reporting tools CM360, Search Ads 360,…
Position Requirements
10+ Years work experience
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