Product Owner – US Gross to Net Analytics

Job Title: Product Owner – US Gross to Net Analytics

Location: Morristown, NJ

About the job

Ready to push the limits of what’s possible? Join Sanofi in one of our corporate functions and you can play a vital part in the performance of our entire business while helping to make an impact on millions around the world.

Sanofi is going through a vast and ambitious digital transformation program. A cornerstone of this roadmap is the acceleration of its data transformation and of the adoption of artificial intelligence (AI) and machine learning (ML) solutions, to accelerate R&D, manufacturing, and commercial performance and bring better drugs and vaccines to patients faster, to improve health and save lives. 

A core pillar of this strategy is the modernization of our US Gross‑to‑Net (GTN) capabilities—moving from manual, fragmented processes to AI‑powered, connected, end‑to‑end GTN insights, forecasting, reconciliation, and decision support. We are seeking a highly skilled and experienced Product Owner to lead a portfolio of AI and analytics products that power the US GTN function. This includes three strategic GTN products:

• GTN CLARITY – retrospective, Rx‑level GTN insights supporting near‑term GTN decisions.

• GTN COMPASS – forward‑looking GTN investment strategy powered by predictive analytics.

• Dynamic GTN Forecasting – predictive and dynamic GTN forecasting using advanced ML & AI techniques.

You will own the product vision, strategy, and roadmap for this suite of GTN AI solutions, ensuring alignment with Finance, Pricing, Access Analytics, Go to Market Capabilities (GTMC), Digital, and Brand leadership teams. The ideal candidate has deep expertise in AI/ML‑driven analytics platforms, strong product leadership experience, and the ability to shape high‑impact digital solutions for complex, regulated, and data‑intensive business functions. You will play a critical role in shaping our Advanced analytics & AI solution development, delivery, and overall digital transformation; implementing best practices (including responsible AI), and driving strategic initiatives to ensure the reliability, scalability – continuously improving & challenging the status quo. 

Our vision for digital, data analytics and AI 

Join us on our journey in enabling Sanofi’s Digital Transformation through becoming an AI first organization. This means: 

• AI Factory - Versatile Teams Operating in Cross Functional Pods: Utilizing digital and data resources to develop AI products, bringing data management, AI and product development skills to products, programs, and projects to create an agile, fulfilling, and meaningful work environment. 

• Leading Edge Tech Stack: Experience building products that will be deployed globally on a leading-edge tech stack. 

• World Class Mentorship and Training: Working with renowned leaders and academics in machine learning to further develop your skillsets. 

As a Product Owner, you will be a leader and act as a mini-CEO for this digital product, co-defining product strategy with the business, planning product roadmap, driving product delivery with delivery team, and measuring/optimizing business impact.  

We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people’s lives. We’re also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started?

About Sanofi:

We’re an R&D-driven, AI-powered biopharma company committed to improving people’s lives and delivering compelling growth. Our deep understanding of the immune system – and innovative pipeline – enables us to invent medicines and vaccines that treat and protect millions of people around the world. Together, we chase the miracles of science to improve people’s lives.

Main Responsibilities:

• Support Development and Delivery: Lead the development, delivery, and scaling of AI and analytics‑based GTN products, including GTN CLARITY, GTN COMPASS, and Dynamic GTN Forecasting. Ensure solutions meet user needs across Finance, Pricing, Access Analytics, and GTMC.

• Collaborate with GTN Functional Teams: Work closely with GTN CoE, Finance, Pricing, Access Analytics, Brand GMs, and GTMC teams to deeply understand pain points, define requirements, and co‑design scalable GTN solutions tied to priority use cases.

• Optimize Use Cases: Identify, assess, and prioritize GTN use cases (retrospective, prospective, forecasting, reconciliation, monitoring) based on business value, feasibility, and data readiness.

• Implement Product Vision: Define and execute the end‑to‑end product vision for a connected GTN ecosystem enabling strategic and operational insights across the brand lifecycle. Ensure alignment with enterprise digital strategy.

• Standardize Digital Products: Drive standardization across GTN workflows, dashboards, forecasting logic, and reconciliation engines to ensure consistency and reuse across brands and BUs.

• Synergize Across Teams: Collaborate with Data Engineering, Data Science, UX, AI/RAISE, Solution Architecture, and Responsible AI teams to leverage reusable components and ensure platform interoperability.

• Manage Product Roadmaps: Own multi‑product roadmaps, including market‑driven enhancements, migration to USDF, scaling CLARITY to new brands, and vendor selection for forecasting platforms. Manage budgets, resources, and sequencing.

• Ensure Performance and Value: Define KPIs and ensure measurable business impact through improved GTN accuracy, reduced variance, automation of manual workflows, and enhanced decision-making.

• Stakeholder Collaboration: Influence senior stakeholders (Finance, Brand GMs, Pricing, Access Strategy teams) and ensure GTN tools support governance processes such as Actuals Review, Access & Investment Boards, Strategic Access Forums, and bid-cycle preparation. 

Ways of working :

• You will be a member for Global Digital GBU Advance Analytics & AI Team.  

• You will foster partnerships and close collaboration between cross-functional teams (GBU Brand teams, Digital, business operations, market teams) and drive structured ways of working between teams to provide maximum value and efficiency to business teams. 

• You will work closely and constructively with other development teams e.g., Accelerator, AI COEs, Data Engineering COE, and Responsible AI COE) whether inside or outside the company.  

• You will empower your teams to set up lean but effective teams and efficient local governance.  

• You will help build and develop a team that uses complementary strengths and develops novel solutions to core business problems.

About You

Job Skills & Competencies:

• 5+ years in digital product management focused on AI/GenAI, advanced analytics, or large‑scale data products.

• 7+ years building complex digital or data‑driven solutions, ideally in finance, pricing, forecasting, or pharmaceutical commercial analytics.

• Strong understanding of U.S. Pharmaceutical Market Access strategies, GTN processes (claims, rebates, accruals, forecasting, payer contracts, chargebacks).

• Hands‑on familiarity with AI/ML solution design, predictive modeling concepts, and analytics platforms.

• Exceptional stakeholder management skills with executive‑level communication.

• Proven ability to drive digital transformation in large matrixed environments.

• Attention to detail & technical intuition  

Technical skills:

• Strong knowledge of Lean/Agile practices, UX/UI principles, and application integration.

• Experience with data engineering and analytics stacks (Python, SQL, Spark, cloud data lakes).

• Understanding of forecasting frameworks, scenario modeling, variance decomposition, and reconciliation workflows.

• Familiarity with GTN‑related data (APLD, SPM, IQVIA, payer hierarchy, 340B, rebates).

• Ability to work with AI‑driven insights, natural language interfaces, and ML‑enabled forecasting.

Soft skills:

• Strategic thinker with strong business intuition.

• Influential leader who inspires teams and drives alignment.

• Strong problem solver with a “get things done” mindset.

• Cross‑functional collaborator with excellent communication skills. 

Education:

• Bachelors degree required in computer science, applied mathematics, analytics, finance, economics, or related field

• Master’s degree in computer science, applied mathematics, analytics, finance, economics, or related field preferred.

• MBA a strong plus.

Languages: English a must, French a plus, other languages a plus 

Why Choose Us?

• Bring the miracles of science to life alongside a supportive, future-focused team.

• Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally.

• Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.

• Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks’ gender-neutral parental leave.

Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law.

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All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs, and additional benefits information can be found here.