Associate Director, US Consumer Analytics

Sanofi • Cambridge, MA

1d • $148,500 - $214,500

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 build scalable consumer analytics capabilities for use across the portfolio. The role sits 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 partners with Brand, Media, Omnichannel, Digital, agency partners, and offshore analytics hub resources to turn business questions into insights, audience strategies, measurement plans, and optimization recommendations. It combines analytical judgment and hands-on problem solving with clear communication to support timely and effective consumer marketing decisions.

The Associate Director partners with consumer brands on analytics planning, KPI and audience priorities, campaign measurement, performance readouts, and recommendations. The role also supports the development of the US Consumer Media Analytics Strategy and scalable capabilities such as segmentation, modeling, patient journey analytics, media measurement, attribution, reporting, and test-and-learn frameworks. It coordinates with technical, data, agency, vendor, and offshore partners to deliver reliable analytics and ensure outputs are actionable, privacy-conscious, and aligned with 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 with pharma/healthcare analytics experience.
• Strong foundation in core statistical methods, such as 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 used for incrementality measurement, with hands-on experience in at least one method such as difference-in-differences, propensity score matching, synthetic control approaches, or comparable quasi-experimental techniques.
• Experience with one or more pharmaceutical analytics data sources or platforms, such as national-level sales/demand data, longitudinal HCP and patient-level claims, CRM systems, or data management and analysis platforms.
• Experience in the pharmaceutical or life sciences industry, with analytics applied to HCP, patient, or consumer engagement.
• Proficiency in SQL and/or Python.
• Strong communication and presentation skills, including the ability to conduct meetings and present independently to cross-functional stakeholders and senior leadership.
• Strategic thinking and a solid understanding of the life-sciences industry.
• Ability to collaborate effectively across 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 business priorities evolve.
• Ability to translate complex analytical findings into clear, actionable recommendations for non-technical audiences.
• Demonstrated 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 therapeutic area experience in pharmaceutical analytics, 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 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.

Responsibilities

• Serve as an analytics business partner to assigned consumer brands and indications, translating brand 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 advances 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 consumer and 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.
• Support development and scaling of 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, translating findings into actionable recommendations for 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 on media measurement, audience activation, performance reporting, and knowledge transfer as needed.
• 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 culture of curiosity, collaboration, inclusion, analytical rigor, and business ownership.
• Work effectively in a matrixed environment, balancing strategic priorities, hands-on analysis, and cross-functional stakeholder needs.

Benefits

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

What This Job Offers

• Job Type: Full-time
• Career Level: Director