Enterprise Data Strategy Lead

Jobtailor

Massachusetts

On-site

USD 150,000 - 230,000

Full time

14 days+

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Job summary

Jobtailor is seeking a senior leader to define and deliver an enterprise data strategy with multi-year roadmaps across R&D, Medical Affairs, Commercial, Safety, and Brand teams. You will prioritize insights generation using diverse data sources and oversee data investments to maximize value.

Responsibilities include partnering with stakeholders to translate business needs into data-driven priorities and guiding governance for data strategy, with strong emphasis on market access analytics and

Qualifications

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
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

Responsibilities

Define and deliver the enterprise data strategy with multi-year roadmaps prioritizing insights across business functions
Partner with cross-functional stakeholders to identify, assess, and prioritize data requirements and use cases
Identify and evaluate commercial and real-world data sources for fitness-for-purpose
Conduct enterprise-wide data and analytics assessments and gap analyses
Facilitate cross-functional collaboration and investment governance to optimize data investments

Skills

Data Strategy

Cross-functional Collaboration

Executive Communication

Influential Leadership

Strategic Prioritization

SQL

Python

AI/ML

Forecasting

Patient Journey Mapping

Market Access Analytics

Education

Bachelor's degree in quantitative discipline

Advanced degree preferred

Tools

Snowflake

AWS Sagemaker

EHR

CRM Platforms

Open/Closed Claims

PROs

SDOH

Job 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

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.

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