Enterprise Data Strategy Lead
Sanofi
August 20, 2026
On-site
Cambridge, MA
$100,500 - $145,166.66 USD yearly
IT
Main Responsibilities
- Define and deliver enterprise data strategy with multi-year roadmaps prioritizing insights and analytics across business functions.
- Partner with cross-functional stakeholders (R&D, Medical Affairs, Commercial, Safety, Brand) to identify, assess, and prioritize data requirements and use cases (patient journey mapping, competitive intelligence, provider segmentation, new product forecasting, unbranded/branded launch activities).
- Identify and evaluate commercial and real-world data sources (social listening, specialty pharmacy, reference lab datasets, CRM, open/closed claims, EMR/EHR, disease registries, competitive intelligence) for fitness-for-purpose.
- Conduct enterprise data/analytics assessments and gap analyses against business requirements.
- Facilitate collaboration and investment governance with Digital and Procurement to optimize data investments, prevent duplication, and maximize value.
Basic Qualifications
- Bachelor’s degree required in a quantitative discipline, data science, business administration, health informatics, epidemiology, business, life sciences, or related field; advanced degree preferred.
- 4+ years in pharmaceutical/biopharma with significant Go-to-Market insights & analytics, Launch Excellence, or market access experience.
- 2+ years in data strategy, Go-to-Market data strategy, launch readiness strategy, new product data strategy, or RWD/RWE leadership.
Preferred Qualifications
- Track record delivering enterprise data strategies and decision-driving insights across cross-functional stakeholders.
- Experience with data needs assessments, gap analyses, and strategic roadmap development.
- Translate business requirements into data-driven insights, priorities, and investment decisions.
- Understanding of commercial data ecosystems and market access analytics; familiarity with regulatory considerations for real-world evidence (FDA, EMA, ICH).
- Ability to lead through influence in complex, matrixed environments.
- Therapeutic area expertise strongly preferred (Immunology, Rare Disease, Hematology-Oncology, Type 1 Diabetes, Transplant, Specialty Care).
Technical/Skills
- Familiarity with commercial/external data sources and fit-for-purpose applications (e.g., formulatory data, sales/CRM, claims, EHR, specialty pharmacy, PROs/SDOH/wearables).
- Familiarity with competitive intelligence platform evaluation (AlphaSense, Clarivate, Evaluate & Citeline).
- Familiarity with launch readiness analytics (patient journey/funnel, segmentation, forecasting, comparative effectiveness).
- Familiarity with data models/standards (e.g., OHDSI OMOP) and cloud platforms (e.g., Snowflake, AWS Sagemaker).
- Familiarity with advanced analytics/AI-ML-LLM (predictive modeling, NLP, signal detection).
- Familiarity with SQL and/or Python and AI-assisted coding; ability to engage technically with analytics/data engineering teams.
Benefits
- Health and wellbeing benefits including high-quality healthcare, prevention and wellness programs, and at least 14 weeks’ gender-neutral parental leave.
- Define and deliver enterprise data strategy with multi-year roadmaps prioritizing insights and analytics across business functions.
- Partner with cross-functional stakeholders (R&D, Medical Affairs, Commercial, Safety, Brand) to identify, assess, and prioritize data requirements and use cases (patient journey mapping, competitive intelligence, provider segmentation, new product forecasting, unbranded/branded launch activities).
- Identify and evaluate commercial and real-world data sources (social listening, specialty pharmacy, reference lab datasets, CRM, open/closed claims, EMR/EHR, disease registries, competitive intelligence) for fitness-for-purpose.
- Conduct enterprise data/analytics assessments and gap analyses against business requirements.
- Facilitate collaboration and investment governance with Digital and Procurement to optimize data investments, prevent duplication, and maximize value.
Basic Qualifications
- Bachelor’s degree required in a quantitative discipline, data science, business administration, health informatics, epidemiology, business, life sciences, or related field; advanced degree preferred.
- 4+ years in pharmaceutical/biopharma with significant Go-to-Market insights & analytics, Launch Excellence, or market access experience.
- 2+ years in data strategy, Go-to-Market data strategy, launch readiness strategy, new product data strategy, or RWD/RWE leadership.
Preferred Qualifications
- Track record delivering enterprise data strategies and decision-driving insights across cross-functional stakeholders.
- Experience with data needs assessments, gap analyses, and strategic roadmap development.
- Translate business requirements into data-driven insights, priorities, and investment decisions.
- Understanding of commercial data ecosystems and market access analytics; familiarity with regulatory considerations for real-world evidence (FDA, EMA, ICH).
- Ability to lead through influence in complex, matrixed environments.
- Therapeutic area expertise strongly preferred (Immunology, Rare Disease, Hematology-Oncology, Type 1 Diabetes, Transplant, Specialty Care).
Technical/Skills
- Familiarity with commercial/external data sources and fit-for-purpose applications (e.g., formulatory data, sales/CRM, claims, EHR, specialty pharmacy, PROs/SDOH/wearables).
- Familiarity with competitive intelligence platform evaluation (AlphaSense, Clarivate, Evaluate & Citeline).
- Familiarity with launch readiness analytics (patient journey/funnel, segmentation, forecasting, comparative effectiveness).
- Familiarity with data models/standards (e.g., OHDSI OMOP) and cloud platforms (e.g., Snowflake, AWS Sagemaker).
- Familiarity with advanced analytics/AI-ML-LLM (predictive modeling, NLP, signal detection).
- Familiarity with SQL and/or Python and AI-assisted coding; ability to engage technically with analytics/data engineering teams.
Benefits
- Health and wellbeing benefits including high-quality healthcare, prevention and wellness programs, and at least 14 weeks’ gender-neutral parental leave.