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# Global Lead, Medical Intelligence to Strategy

- **Company:** Sanofi
- **Location:** Morristown, NJ, United States
- **Experience:** Expert
- **Salary:** $206,250.0 - $297,917.0
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Artificial Intelligence, Business Analytics Applications, Data Analysis, Health Informatics, Data Architecture, Data Governance, Machine Learning, Natural Language Processing, Data Streaming, Model Validation, Data Strategy, Data Management
- **Published:** July 16, 2026
- **Apply:** https://www.nexxt.com/job.asp?id=3322534995&tx=FJ1512FFK&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* 10+ years of experience in Medical Affairs, Data Strategy, Real-World Evidence, Healthcare Analytics, or a related field within a pharmaceutical or healthcare organization.
 * Advanced scientific, medical, or quantitative degree (MD, PhD, PharmD, or Master's in Data Science, Biostatistics, Health Informatics, or equivalent) strongly preferred.
 * Demonstrated experience with AI/ML applications in healthcare, including predictive analytics, natural language processing (NLP), or real-world evidence platforms.
 * Proven track record of designing or leading data strategy or medical intelligence programs in global, matrixed environments.
 * Experience with Medical Information Systems and/or pharmaceutical data platforms strongly preferred.
 * Excellent communication and interpersonal skills; demonstrated ability to present complex analytical concepts clearly to non-technical medical and business audiences.

Leadership & Skills:

 * Analytical leader with the ability to build strategic narratives from complex, multi-source data environments - translating data science outputs into clinical and commercial strategy without relying on technical jargon.
 * Proven ability to influence cross-functional teams and drive alignment on data strategy without direct authority, building credibility with both Medical and Digital stakeholders.
 * Strong program management skills with experience leading global analytics or data strategy initiatives in matrixed environments
 * Deep understanding of the pharmaceutical data ecosystem, including real-world evidence, claims data, EHR integration, and digital health data streams.
 * Passion for innovation at the intersection of data science, medical strategy, and digital transformation - with a demonstrated track record of turning insights into action., Better is out there. Better medications, better outcomes, better science. But progress doesn't happen without people - people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let's be those people.

## Description

Strategic Medical Intelligence & Data Leadership:

 * Define and own the Medical Intelligence roadmap, shifting Medical Affairs from "reporting data" to "predictive strategy" - forecasting medical trends, anticipating unmet needs, and enabling forward-looking decision-making across GBUs.
 * Build and lead the Data Strategy framework that connects clinical evidence, real-world data, field insights, and digital health data streams into a unified, actionable intelligence layer for Medical Affairs.
 * Champion Medical Plai and other predictive analytics platforms, overseeing their design, testing, and integration into Medical Affairs planning and decision-making workflows.
 * Own and evolve the Medical Care Gaps identification and analysis framework, ensuring it drives meaningful prioritization across GBU Medical strategies and evidence generation plans.
 * Lead the development and optimization of MedIS (Medical Insights Engine) capabilities to ensure data accessibility, quality, and strategic utility across the Medical Innovation ecosystem.
 * Develop and maintain a strategic roadmap for Medical data and analytics capabilities, aligned with GBU priorities and the broader Medical Innovation agenda.

Innovation Incubation, Test & learn:

 * Function as the primary incubator for medical intelligence innovations - scout emerging data science and AI/ML capabilities, test use cases in partnership with Digital, and define rigorous success metrics before recommending enterprise-wide scaling.
 * Collaborate with the Global Head of Medical Innovation and Digital Partners to select and validate AI/ML use cases relevant to medical intelligence and predictive analytics.
 * Design proof-of-concept initiatives for new intelligence tools, establishing KPI frameworks and governance checkpoints before transition to operational teams.
 * Partner with peer Global Leads (Scientific Platforms, Health Ecosystem, Innovation Expansion) to ensure medical intelligence insights feed into and enrich all innovation initiatives across the team.
 * Integrate Medical Intelligence outputs into core Medical processes including Medical Planning cycles, Care Gap prioritization, and evidence generation strategies.

Stakeholder & GBU Partnership:

 * Serve as the embedded intelligence partner to Medical GBUs, spending meaningful time within GBU leadership meetings to ensure pull-through of predictive analytics capabilities and alignment on data priorities.
 * Translate complex data science and predictive analytics concepts into clear, actionable strategic narratives for senior Medical, Commercial, and Digital leadership.
 * Represent the Medical Intelligence function in the Medical Innovation Council, contributing to DAI (Decide, Advise, Inform) governance decisions on AI use cases, data platforms, and analytics investments.
 * Champion a data-literate culture within Medical Affairs, making technical concepts accessible and inspiring non-technical medical stakeholders to embrace intelligence-driven ways of working.
 * Collaborate with Digital AI teams to ensure data architecture and vendor builds align with medical intelligence use case requirements.

Governance & Compliance:

 * Ensure all data strategies, predictive models, and intelligence platforms comply with relevant healthcare regulations, data privacy standards and ethical AI principles.
 * Develop and maintain governance frameworks for data use, model validation, algorithmic transparency, and quality benchmarking within medical intelligence initiatives.
 * Stay current on evolving regulations and industry standards related to AI, real-world data use, and data governance in pharmaceutical and healthcare context., * Strategic Foresight: Anticipates shifts in the data and AI landscape and proactively positions Medical Affairs capabilities to act ahead of emerging trends and unmet needs.
 * Analytical Storytelling: Converts complex, multi-source data analysis into compelling, executive-ready insights and strategic recommendations that resonate with Medical and Commercial leadership.
 * GBU Partnership: Operates as a trusted strategic advisor, balancing enterprise innovation priorities with GBU-specific operational needs and translating intelligence into actionable medical strategy.
 * Change Leadership: Drives cultural transformation from data-reporting to predictive intelligence within Medical Affairs, inspiring adoption of new analytical tools and ways of working.
 * Collaborative Execution: Works effectively within a matrixed environment, aligning across Digital, GBU, and peer innovation pillars to deliver integrated, high-impact outcomes.


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