Associate Director, US Consumer Analytics

Job Title: Associate Director, US Consumer Analytics Location: Cambridge, MA or Morristown, NJ About The Job The Associate Director, US Consumer Advanced Analytics will be responsible for applying data, analytics, and measurement capabilities to improve consumer and patient engagement, media effectiveness, and business decision‑making across Sanofi North America. As a member of the Insights and Analytics team, this individual will serve as a strategic analytics partner to assigned brands and indications, while also helping build scalable consumer analytics capabilities that can be leveraged across the portfolio. This role will partner closely with Brand, Media, Omnichannel, Digital, agency partners, and offshore analytics hub resources to translate business questions into actionable insights, audience strategies, measurement plans, and optimization recommendations. The Associate Director will bring strong analytical judgment, hands‑on problem solving, and clear business communication to support more timely, consistent, and impactful consumer marketing decisions. This role will sit within the GTMC (Go‑to‑Market Capabilities) NA Organization, within the Insights & Analytics pillar. This position will report to the Director, US Consumer Advanced Analytics and will be based in Cambridge, MA or Morristown, NJ. Main Responsibilities Brand Analytics Partnership Serve as an analytics business partner to assigned consumer brands and indications, helping translate brand strategy, media priorities, and business questions into clear analytics plans and recommendations. Design and interpret insights for DTC/P ecosystem, impact assessment of use cases, and support on‑going advancements to support AI mediated engagement throughout the customer journey lifecycle. 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 that connect consumer engagement, media activity, audience behavior, patient journey progression, and business outcomes. Lead or support recurring performance readouts, translating analytical outputs into clear business implications and recommended actions. Consumer Analytics Capability Development Contribute to the development of the US Consumer Media Analytics Strategy. Support the development and scaling of consumer analytics capabilities, such as 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 in partnership with Omnichannel, Digital, Data Management, Data Engineering, and Data Science teams. Design, execute, and interpret analyses of large healthcare and media datasets and translate complex data findings to clear actionable recommendations for commercial and cross‑functional teams to drive strategic imperatives. Help 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 available team capacity. Analytics Delivery and Cross‑Functional Execution Serve as key member of larger Advanced Analytics team, coordinating with Therapeutic Area (TA) Advanced Analytics lead 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 decision‑making. Collaborate with Sanofi Data Management and Global Digital teams to ensure robust data infrastructure and quality. Coordinate with agency and vendor partners, where needed, to support media measurement, audience activation, performance reporting, and knowledge transfer. Engage with offshore analytics hub team members to support delivery of reporting, analysis, dashboard QA, insight generation, and recurring measurement needs. Ensure analytics outputs are accurate, actionable, privacy‑conscious, and aligned with relevant policies, SOPs, and governance requirements. Team Culture and Ways of Working Contribute to a team culture that values curiosity, collaboration, inclusion, analytical rigor, and business ownership. Work effectively in a matrixed environment, balancing strategic priorities, hands‑on analytical work, and cross‑functional stakeholder needs. About You Basic Qualifications Bachelor's degree required in a quantitative field (e.g., Statistics, Mathematics, or Engineering). Skills And Competencies Minimum of 5+ years of experience in commercial brand and/or media analytics, or equivalent consulting experience. Demonstrated experience working with 1st & 3rd party consumer data sources across key media channels (e.g., CRM, CTV/OLV, Search, and Social). Strong foundation in core statistical methods (descriptive statistics, probability distributions), experimental design (A/B tests, multivariate tests, holdout/control group studies), and causal inference methods (difference‑in‑differences, propensity score matching, synthetic control approaches) to support media incrementality and campaign lift measurement. Proficiency in SQL and Python is required. Proven ability to translate complex analytical findings into clear, actionable business recommendations for non‑technical audiences. Strong communication and presentation skills, with demonstrated ability to conduct meetings and present independently to cross‑functional stakeholders, including senior leadership. Strong strategic thinking ability, with a solid understanding of the life‑sciences industry. Ability to work effectively in a highly matrixed environment, collaborating across multiple teams and time zones. Strong learning agility, intellectual curiosity, and attention to detail. Ability to think strategically in ambiguous environments and adapt as business priorities evolve. Demonstrated emotional intelligence (EQ) and collaborative leadership skills. Preferred Qualifications Master's, MBA, or PhD in a quantitative field, or advanced certification in data science or machine learning. Experience working as a media analyst at a marketing or media agency (e.g., Havas or similar). Deep hands‑on expertise in multi‑touch attribution modeling, preferably for pharmaceutical brands. Experience with key pharmaceutical data sources and analytics platforms, including: National‑level sales/demand data (e.g., IQVIA NPA & NSP) Longitudinal HCP & patient‑level claims (e.g., IQVIA, Symphony, Komodo) Specialty pharmacy/patient services data (e.g., Capgemini/LiquidHub) CRM systems (e.g., Veeva, Salesforce) Media platform reporting tools (e.g., CM360/SA360, Meta Business Manager, Google Analytics) Data management & analysis platforms (e.g., Databricks, Snowflake, Tableau, Qlik, Power BI) Relevant therapeutic area experience in pharmaceutical analytics (e.g., specialty care, immunology). Why Choose Us? 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 it's 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 gender‑neutral parental leave. Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affimative Action employers committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law. All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs, and additional benefits information can be found here. #J-18808-Ljbffr BioSpace