Enterprise Data Strategy Lead

Sanofi•Cambridge, MA

2d•$100,500 - $145,167•Onsite

About The Position

The Enterprise Data Strategy Lead is a pivotal role within Sanofi's Digital Real World Data & Healthcare Intelligence organization that facilitates data strategy, enables the requirements gathering framework, and authors the multi-year roadmap for data archetypes spanning R&D, Medical Affairs, Launch Excellence, Discovery, and Commercial functions. This individual author the multi-year data roadmap that turns fragmented data assets into decision-grade insights, prioritizing data that powers brand strategy, medical strategy, market access, competitive intelligence, forecasting, and patient and healthcare provider segmentation, while ensuring alignment with R&D, Medical Affairs, and Launch Excellence needs. Leading Agile and matrixed teams, the Enterprise Data Strategy Lead manages the assessment of current data capabilities, conducts gap analyses, and execute the RWD & HI data strategy framework to define data standards that informs commercial decisions, brand performance, market access, launch readiness, medial strategy, regulatory submissions, and pipeline strategy. Operating with a One Sanofi mindset, this individual bridges global and local market responsibilities, engaging senior leaders across R&D, Commercial, Market Access, Medical Affairs, Launch Excellence, HEVA, Data Privacy/Legal, Procurement, Local Market Leads, and Digital to translate complex data needs into impactful multi-years data roadmaps.

Requirements

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
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

Nice To Haves

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

Responsibilities

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