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

Main Responsibilities:
- Lead end-to-end product delivery (discovery through build, test, and scale) for GTN CLARITY, GTN COMPASS, and Dynamic GTN Forecasting; drive delivery excellence across cross-functional pods (Data Engineering, Data Science, UX, AI).
- Define and execute product vision and a multi-horizon roadmap for a connected GTN analytics ecosystem; translate business needs into prioritized backlogs delivering measurable value.
- Drive enterprise data transformation: modernize fragmented/manual GTN processes into scalable, AI-ready data foundations; champion enterprise data standards (USDF, OneMesh).
- Optimize and prioritize GTN use cases (retrospective insights, prospective modeling, forecasting, reconciliation, monitoring) based on business value, feasibility, and data readiness.
- Collaborate with Finance, Pricing, Access Analytics, GTN CoE, Brand GMs, and GTMC teams to co-design solutions and support governance processes (Actuals Review, Access & Investment Boards, Strategic Access Forums, bid-cycle preparation).
- Manage vendor/platform selection: lead RFPs and Systems Integrator selection for Dynamic GTN Forecasting; manage external partners.
- Standardize and scale digital products across brands/BU workflows, logic, and engines.
- Ensure performance and value realization via KPIs and measurement frameworks.
- Champion responsible AI aligned with Sanofi’s RAISE framework (compliance, auditability, transparency).

Qualifications (Required):
- Bachelor’s degree and 7+ years digital product management delivering enterprise analytics/data/AI-ML platforms.
- 5+ years leading complex digital transformation programs in matrixed orgs (data engineering, advanced analytics, AI/ML product development).

Skills (Required/Preferred):
- Translate ambiguous business problems into scalable roadmaps/solutions.
- Manage multi-vendor delivery, RFPs, Systems Integrator selection, and partner management.
- Enterprise data architecture knowledge (data mesh, data lakes, cloud); strong stakeholder management.
- Hands-on data/analytics stack exposure: Python, SQL, Spark, Azure/AWS/GCP.
- Forecasting/scenario/variance decomposition/reconciliation experience.
- Familiarity with AI/ML predictive modeling and analytics platform architecture; Snowflake/Databricks preferred.
- EPM platforms (Anaplan/Adaptive Insights) strong plus.
- English required; French plus.

Benefits:
- Health and wellbeing benefits and at least 14 weeks’ gender-neutral parental leave.

Application Instructions:
- Not specified.