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# Enterprise Data Strategy Lead

- **Company:** Sanofi
- **Location:** Cambridge, MA, United States
- **Experience:** Expert
- **Salary:** $100,500.0 - $145,167.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Health Informatics, Information Engineering, Cursor, Python (Programming Language), SQL Databases, Unstructured Data, Large Language Models, Snowflake, Data Strategy, Data Management, Claude
- **Published:** October 5, 2026
- **Apply:** https://www.businessworkforce.com/job.asp?id=3419694775&tx=FJ4542FFF&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* Bachelor's degree required in a quantitative discipline, data science, business administration, health informatics, epidemiology, business, life sciences, or related fields; advanced degree preferred
 * 4+ years of pharmaceutical or biopharma industry experience required, with significant time in Go-to-Market insights & analytics, Launch Excellence or market access functions
 * 2+ years in data strategy, Go-to-Market data strategy, launch readiness strategy, new product data strategy, or RWD/RWE leadership required, * Proven track record delivering enterprise data strategies and generating insights that drive business decisions across diverse, cross-functional stakeholder groups
 * Experience conducting data needs assessments, gap analyses, and strategic roadmap development
 * Demonstrated ability to translate business requirements into data-driven insights, strategic priorities, and investment decisions
 * Strong understanding of commercial data ecosystems and market access analytics, with familiarity of regulatory considerations for real-world evidence (FDA, EMA, ICH)
 * Demonstrated ability to lead through influence in complex, matrixed environments
 * Therapeutic area expertise in one or more of the following strongly preferred: Immunology, Rare Disease, Hematology-Oncology, Type 1 Diabetes, Transplant, or Specialty Care

Technical Knowledge

(Supporting analytics and data engineering teams; hands-on execution a plus but not required)

 * Familiarity with commercial and external data sources and fit-for-purpose applications: formulatory data, sales/CRM, open/closed claims (IQVIA, STATinMED, Merative), EHR (TriNetX), specialty pharmacy, patient/consumer data, disease registries, PROs, and SDOH, wearables, strongly preferred
 * Competitive intelligence platform evaluation (AlphaSense, Clarivate, Evaluate & Citeline) including identification of key use cases and their data requirements , strongly preferred
 * Familiarity with launch readiness analytics and insight methodologies: patient journey and funnel analytics, market and brand performance analysis, segmentation, forecasting, and comparative effectiveness research
 * Familiarity with data models and standards (e.g., OHDSI OMOP) and modern cloud data platforms (e.g. Snowflake, AWS Sagemaker)
 * Familiarity with advanced analytics and AI/ML/LLM applications including predictive modeling, NLP for unstructured data mining, and signal detection
 * Familiarity with SQL and/or Python plus AI-assisted coding (e.g. Cursor, Claude, OpenWork); ability to engage technically with analytics and data engineering teams, * Strategic thinker who identifies data needs, gaps, and opportunities and drives enterprise strategy to generate high-impact insights
 * Exceptional ability to translate complex commercial questions into clear insights, strategic priorities, and investment decisions
 * Influential team player who drives execution across a highly matrixed organization, setting direction, enabling teams, and governing quality
 * Strong commercial and business acumen with the ability to balance competing stakeholder needs across a global enterprise
 * High learning agility, intellectual curiosity, and strong emotional intelligence
 * Commitment to scientific rigor, regulatory compliance, and ethical use of data, Better is out there. Better medications, better outcomes, better science. But progress doesn't happen without people - people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let's be those people.

## Description

* Define and deliver the enterprise data strategy with multi-year roadmaps that prioritize insights and analytics generation across all business functions.
 * Partner with cross-functional stakeholders (R&D, Medical Affairs, Commercial, Safety, Brand Teams) to identify, assess, and prioritize data requirements and use cases such as patient journey mapping, competitive intelligence, provider segmentation, new product forecasting, unbranded and branded launch activities
 * Identify and evaluate commercial and real-world data sources including social listening platforms, specialty pharmacy, reference lab data sets, customer relationship management platforms, open/closed claims, EMR/EHR, disease registries, and competitive intelligence platforms for fitness-for-purpose
 * Conduct enterprise-wide data and analytics assessments and gap analyses to evaluate current insight-generation capabilities against business requirements
 * Facilitate cross-functional collaboration and investment governance, coordinating with Digital and Procurement to optimize data investments, prevent duplication, and maximize value