Product Manager/Product Owner Enterprise Analytics/AI/ML

Job title: Product Manager/Product Owner Enterprise Analytics/AI/ML Location: Morristown, NJ / Cambridge, MA About The Job Ready to push the limits of whats 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 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 GrosstoNet (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, including 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, 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. Vision for Digital, Data Analytics and AI AI Factory – versatile teams operating in cross‑functional pods, utilizing digital and data resources to develop AI products. 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 the delivery team, and measuring/optimizing business impact. About Sanofi We are an R&D‑driven, AI‑powered biopharma company committed to improving peoples 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. Main 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. Define and execute product vision: Establish and maintain a clear, compelling product vision and multi‑horizon roadmap for a connected GTN analytics ecosystem. Drive enterprise data transformation: Lead the migration and modernization of fragmented, manual GTN processes onto scalable, AI‑ready data foundations. Optimize and prioritize use cases: Identify, assess, and prioritize GTN use cases based on business value, technical feasibility, and data readiness. Collaborate with business stakeholders: Partner with Finance, Pricing, Access Analytics, GTN CoE, Brand GMs, and GTMC teams to deeply understand pain points. Manage vendor and platform selection: Lead RFP processes, vendor evaluation, and systems integrator selection for Dynamic GTN Forecasting platform. Standardize and scale digital products: Drive standardization across GTN workflows, dashboards, forecasting logic, and reconciliation engines. Ensure performance and value realization: Define KPIs, establish measurement frameworks, and ensure measurable business impact. Champion responsible AI: Ensure all GTN AI/ML solutions are developed and deployed in alignment with Sanofi’s RAISE responsible AI framework. 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. Work closely with development teams (Accelerator, AI COEs, Data Engineering COE, Responsible AI COE). 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 Bachelor’s 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. 5+ years leading complex digital transformation programs in large, matrixed organizations ideally spanning data engineering, advanced analytics, and AI/ML product development. 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 is 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) is 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 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. 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 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. 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. #J-18808-Ljbffr BioSpace