About The Position

The Associate Director, US Consumer Advanced Analytics applies data, analytics, and measurement capabilities to improve consumer and patient engagement, media effectiveness, and business decision-making across Sanofi North America. As part of the Insights and Analytics team, this person serves as a strategic analytics partner to assigned brands and indications and helps develop scalable consumer analytics capabilities for use across the portfolio. The role partners with Brand, Media, Omnichannel, Digital, agency partners, and offshore analytics hub resources to turn business questions into actionable insights, audience strategies, measurement plans, and optimization recommendations. It calls for strong analytical judgment, hands-on problem-solving, and clear business communication. The position is within the GTMC (Go-to-Market Capabilities) NA Organization, in the Insights & Analytics pillar, and reports to the Director, US Consumer Advanced Analytics. The position may be based in Cambridge, MA or Morristown, NJ. The role supports brand analytics partnership, consumer analytics capability development, analytics delivery, and cross-functional execution. It helps define brand KPIs and measurement needs; develops insights connecting consumer engagement, media activity, audience behavior, patient journey progression, and business outcomes; and supports analytics capabilities such as segmentation, modeling, attribution, reporting, and test-and-learn frameworks. The Associate Director collaborates with technical teams and external partners, contributes to consistent analytics standards and workflows, and ensures outputs are accurate, actionable, privacy-conscious, and aligned with applicable policies and governance requirements.

Requirements

  • Bachelor's degree required; preferably in a quantitative field.
  • At least 5 years of experience in pharma/healthcare analytics, or commercial brand/media analytics combined with pharma/healthcare analytics experience.
  • Strong foundation in statistical methods, including descriptive statistics and probability distributions.
  • Experience designing and/or interpreting experiments such as A/B tests, multivariate tests, and holdout/control group studies to measure commercial, patient, or marketing initiatives.
  • Working knowledge of causal inference methods for incrementality measurement and hands-on experience with at least one of difference-in-differences, propensity score matching, synthetic control approaches, or comparable quasi-experimental techniques.
  • Experience with one or more pharmaceutical and analytics data sources or platforms, such as national sales/demand data (IQVIA NPA & NSP), longitudinal HCP and patient claims (IQVIA, Symphony, Komodo), CRM systems (Veeva, Salesforce), or data management and analysis platforms (Databricks, Snowflake, Tableau, Qlik, Power BI).
  • Experience in the pharmaceutical or life sciences industry, applying analytics to HCP, patient, or consumer engagement.
  • Proficiency in SQL and/or Python.
  • Strong communication and presentation skills, including the ability to lead meetings and present independently to cross-functional stakeholders, including senior leadership.
  • Strategic thinking and a solid understanding of the life-sciences industry.
  • Ability to collaborate across multiple teams and time zones in a highly matrixed environment.
  • Strong learning agility, intellectual curiosity, and attention to detail.
  • Ability to think strategically in ambiguous environments and adapt as priorities evolve.
  • Ability to translate complex analytical findings into clear, actionable business recommendations for non-technical audiences.
  • Emotional intelligence and collaborative leadership skills.

Nice To Haves

  • Master's, MBA, or PhD in a quantitative field, or advanced certification in data science or machine learning.
  • Relevant pharmaceutical analytics therapeutic-area experience, such as specialty care or immunology.
  • Experience with specialty pharmacy or patient services data, such as Capgemini/LiquidHub.
  • Experience with media platform reporting tools, such as CM360/SA360, Meta Business Manager, or Google Analytics.
  • Experience applying experimental design and causal methods to media incrementality and campaign lift measurement.
  • Experience working as a media analyst at a marketing or media agency.
  • Demonstrated experience working with first- and third-party consumer data sources across channels such as CRM, CTV/OLV, Search, and/or Social.
  • Deep hands-on expertise in multi-touch attribution modeling, preferably for pharmaceutical brands.
  • Experience across multiple causal inference approaches is a plus.

Responsibilities

  • Serve as an analytics business partner to assigned consumer brands and indications, translating strategy, media priorities, and business questions into analytics plans and recommendations.
  • Design and interpret insights for the DTC/P ecosystem, assess use-case impact, and support advancements in AI-mediated engagement across the customer journey.
  • Partner with Brand and Media teams to define KPIs, audience priorities, measurement needs, test-and-learn opportunities, and optimization questions for Direct to Consumer/Patient campaigns.
  • Develop performance insights connecting consumer engagement, media activity, audience behavior, patient journey progression, and business outcomes.
  • Lead or support recurring performance readouts and translate analytical outputs into business implications and recommended actions.
  • Contribute to development of the US Consumer Media Analytics Strategy.
  • Develop and scale consumer analytics capabilities, including audience segmentation, lookalike modeling, patient journey analytics, media measurement, attribution, reporting, and test-and-learn frameworks.
  • Define and execute business requirements, analytical inputs, and success criteria for priority use cases with Omnichannel, Digital, Data Management, Data Engineering, and Data Science teams.
  • Design, execute, and interpret analyses of large healthcare and media datasets and provide actionable recommendations to commercial and cross-functional teams.
  • Establish repeatable standards, templates, QA processes, and documentation to improve consistency across brands and indications.
  • Support prioritization of analytics work across brand needs, capability-building priorities, and team capacity.
  • Coordinate with Therapeutic Area Advanced Analytics leads to integrate Consumer Analytics workstreams with other Advanced Analytics deliverables.
  • Collaborate with Data Science and technical partners on model development, audience creation, measurement design, test/control construction, and validation of analytical outputs.
  • Partner with Digital and Data teams to ensure dashboards, data assets, and analytics workflows meet business needs and support timely decisions.
  • Collaborate with Sanofi Data Management and Global Digital teams to support robust data infrastructure and quality.
  • Coordinate with agency and vendor partners as needed on media measurement, audience activation, performance reporting, and knowledge transfer.
  • Engage offshore analytics hub team members in reporting, analysis, dashboard QA, insight generation, and recurring measurement.
  • Ensure analytics outputs are accurate, actionable, privacy-conscious, and aligned with relevant policies, SOPs, and governance requirements.
  • Contribute to a team culture valuing curiosity, collaboration, inclusion, analytical rigor, and business ownership.
  • Work effectively in a matrixed environment while balancing strategic priorities, hands-on analytical work, and cross-functional stakeholder needs.

Benefits

  • Health and wellbeing benefits, including high-quality healthcare and prevention and wellness programs.
  • At least 14 weeks’ gender-neutral parental leave.
  • Employees may be eligible to participate in Company employee benefit programs.
  • Rewards package recognizing employee contributions.
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