Enterprise Data Strategy Lead

Sanofi

Enterprise Data Strategy Lead defining insights generation roadmaps for Sanofi's biopharma operations. Collaborating across functions to optimize data investments and deliver impactful analyses.

Posted 7/29/2026full-timeMorristown • Massachusetts, New Jersey • 🇺🇸 United StatesSenior💰 $100,500 - $145,166 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in defining and delivering enterprise data strategies that prioritize insights and analytics across business functions, with a strong focus on cross-functional collaboration and data-driven decision-making. Proficient in evaluating commercial data sources and conducting gap analyses to optimize data investments and generate actionable insights.

Highest-signal resume keywords

Enterprise Data Strategy DevelopmentGo-to-Market Insights & AnalyticsData Needs AssessmentCommercial Data EcosystemsRegulatory Considerations for Real-World Evidence

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data StrategyAnalytics AssessmentPredictive ModelingSQLPythonData-Driven InsightsMarket Access AnalyticsLaunch Readiness StrategyPatient Journey MappingCompetitive Intelligence

Soft Skills

Cross-Functional CollaborationInfluential LeadershipStrategic PrioritizationCommunication

Tools & Technologies

SnowflakeAWS SagemakerEHRCRM PlatformsSocial Listening PlatformsDisease RegistriesPROsSDOHAI/ML ApplicationsOpen/Closed Claims

Industry Keywords

Pharmaceutical IndustryBiopharmaReal-World DataImmunologyHematology-OncologyRare DiseaseType 1 DiabetesTransplantSpecialty CareMarket Access

Tech Stack

Tools & technologies

AWSCloudGoPythonSQL

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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
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
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

Benefits

Comp & perks

high-quality healthcare
prevention and wellness programs
gender-neutral parental leave (at least 14 weeks)
health and wellbeing benefits