Enterprise Data Strategy Lead

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 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 Core Competencies 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 Development Go-to-Market Insights & Analytics Data Needs Assessment Commercial Data Ecosystems Regulatory Considerations for Real-World Evidence ATS Optimization Keywords Hard Skills Data Strategy Analytics Assessment Predictive Modeling SQL Python Data-Driven Insights Market Access Analytics Launch Readiness Strategy Patient Journey Mapping Competitive Intelligence Soft Skills Cross-Functional Collaboration Influential Leadership Strategic Prioritization Communication Industry Keywords Pharmaceutical Industry Biopharma Real-World Data Immunology Hematology-Oncology Rare Disease Type 1 Diabetes Transplant Specialty Care Market Access Tools & Technologies Snowflake AWS Sagemaker EHR CRM Platforms Social Listening Platforms Disease Registries PROs SDOH AI/ML Applications Open/Closed Claims #J-18808-Ljbffr Jobtailor