Product Owner – US Gross to Net Analytics

Reference No. R2844398
Position Title: Product Owner – US Gross to Net Analytics
Department:Digital GTN, Strategic Accounts & NA MA PL
Location: Toronto, ON

About the Job

Ready to grow your skills while helping shape the future of healthcare? At Sanofi, you’ll be empowered to learn, ask questions, and bring your ideas to life – all while supported by inspiring mentors and collaborative teams. 

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. 

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, 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 develop 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

Applications received after the official close date will be reviewed on an individual basis.

This position is for a new vacant role that we are actively hiring for.

AI Usage

"Artificial Intelligence” refers to any systems that use automated processes, including algorithms and machine learning, to analyze data and make predictions, inferences, decisions, or recommendations without direct human involvement. These systems may process personal information to identify patterns, improve services, or support decision-making. The Company may use Artificial Intelligence for purposes including, but not limited to, resume screening and hiring, scheduling interviews or meetings, conducting surveys, matching skills with potential job openings, interview scoring, ensuring compliance with regulations applicable to our industry, and activities related to performance evaluation. Information collected and processed by the Company’s Artificial Intelligence systems may include the personal information detailed above and calendar availability. It excludes the information collected and processed for monitoring purposes. You should contact Human Resources if you have a question or concern regarding your personal information. You can also contact Canada’s Privacy Officer via Sanofi’s data subject request portal,  Data Subject Rights Webform. The Data Subject Rights Webform can also be used to request access or correction of your personal information and file a complaint.

Sanofi is an equal opportunity employer committed to diversity and inclusion. Our goal is to attract, develop and retain highly talented employees from diverse backgrounds, allowing us to benefit from a wide variety of experiences and perspectives. We welcome and encourage applications from all qualified applicants.  Accommodations for persons with disabilities required during the recruitment process are available upon request.

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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.

Toute compensation sera déterminée en fonction de l'expérience démontrée. Les employés peuvent être admissibles à participer aux programmes d'avantages sociaux de l'entreprise. Des informations supplémentaires sur les avantages sociaux peuvent être trouvées ici.