Product Manager/Product Owner — Enterprise Analytics/AI/ML

Job Title Product Manager/Product Owner — Enterprise Analytics/AI/ML Location Morristown, NJ / Cambridge, MA Company Overview 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 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. Responsibilities Lead End-to-End Product Delivery: Own the full product lifecycle — from discovery and requirements definition through build, test, and scale — for GTN CLARITY, GTN COMPASS, and Dynamic GTN Forecasting. Drive delivery excellence across cross‑functional pods including Data Engineering, Data Science, UX, and AI teams. Define and Execute Product Vision: Establish and maintain a clear, compelling product vision and multi‑horizon roadmap for a connected GTN analytics ecosystem. Translate complex business challenges into well‑defined, prioritized product backlogs that deliver measurable value. Drive Enterprise Data Transformation: Lead the migration and modernization of fragmented, manual GTN processes onto scalable, AI‑ready data foundations. Champion adoption of enterprise data standards (USDF, OneMesh) and ensure architectural decisions support long‑term scalability across brands and BUs. Optimize and Prioritize Use Cases: Identify, assess, and prioritize GTN use cases (retrospective insights, prospective modeling, forecasting, reconciliation, monitoring) based on business value, technical feasibility, and data readiness. Apply structured frameworks to manage trade‑offs and sequencing. Collaborate with Business Stakeholders: Partner with Finance, Pricing, Access Analytics, GTN CoE, Brand GMs, and GTMC teams to deeply understand pain points, co‑design solutions, and ensure GTN tools support key governance processes including Actuals Review, Access & Investment Boards, Strategic Access Forums, and bid‑cycle preparation. Manage Vendor and Platform Selection: Lead RFP processes, vendor evaluation, and Systems Integrator selection for Dynamic GTN Forecasting platform. Manage external delivery partners and ensure alignment with Sanofi's enterprise architecture and data governance standards. Standardize and Scale Digital Products: Drive standardization across GTN workflows, dashboards, forecasting logic, and reconciliation engines to ensure consistency and reuse across brands and BUs. Scale CLARITY to new brands and expand COMPASS capabilities as data foundations mature. Ensure Performance and Value Realization: Define KPIs, establish measurement frameworks, and ensure measurable business impact through improved GTN accuracy, reduced variance, automation of manual workflows, and enhanced strategic decision‑making. Champion Responsible AI: Ensure all GTN AI/ML solutions are developed and deployed in alignment with Sanofi's RAISE responsible AI framework, maintaining compliance, auditability, and transparency across all products. Ways Of Working Member of the Global Digital GBU Advanced Analytics & AI Team operating in cross‑functional pods. Foster partnerships and close collaboration between cross‑functional teams (GBU Brand teams, Digital, business operations, market teams) driving structured ways of working to maximize value and efficiency. Work closely with development teams (Accelerator, AI COEs, Data Engineering COE, Responsible AI COE) whether inside or outside the company. Empower teams to set up lean but effective delivery structures and efficient local governance. Build and develop teams that use complementary strengths to deliver novel solutions to core business problems. About You Job Skills & Competencies Bachelors degree with 7+ years of experience in digital product management, with a strong track record of delivering end‑to‑end analytics platforms, data products, or AI/ML solutions at enterprise scale - required. 5+ years leading complex digital transformation programs in large, matrixed organizations — ideally spanning data engineering, advanced analytics, and AI/ML product development - required. Demonstrated ability to translate ambiguous, complex business problems into structured product roadmaps and scalable technical solutions. Proven experience managing multi‑vendor delivery environments including RFP processes, Systems Integrator selection, and external partner management. Strong understanding of enterprise data architecture concepts including data mesh, data lakes, cloud platforms, and connected data foundations. Exceptional stakeholder management skills with executive‑level communication and the ability to influence without authority across business and technology functions. Familiarity with financial analytics, forecasting, or reconciliation domains — experience in pharmaceutical commercial analytics a plus but not required. Technical Skills Deep knowledge of Lean/Agile practices, product management frameworks, and UX/UI principles. Hands‑on experience with data engineering and analytics stacks (Python, SQL, Spark, cloud data lakes — Azure, AWS, GCP). Strong understanding of AI/ML solution design, predictive modeling concepts, and analytics platform architecture. Experience with forecasting frameworks, scenario modeling, variance decomposition, and reconciliation workflows in complex data environments. Familiarity with enterprise data platforms (Snowflake, Databricks) and connected data architecture standards. Ability to work with AI‑driven insights, natural language interfaces, and ML‑enabled forecasting tools. Experience with EPM platforms (Anaplan, Adaptive Insights, or similar) a strong plus. Soft Skills Strategic thinker with strong business intuition and ability to connect technical solutions to business outcomes. Influential leader who inspires cross‑functional teams and drives alignment across competing priorities. Strong problem solver with a "get things done" mindset and comfort operating in ambiguous, fast‑moving environments. Excellent communicator who can translate complex technical concepts for non‑technical audiences and vice versa. Languages English a must, French a plus, other languages a plus. Benefits 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. 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. Equal Employment Opportunity Statement Sanofi US Services and its U.S. affiliates are Equal Opportunity employers committed to a culturally inclusive 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. #J-18808-Ljbffr Sanofi