Product Manager – Enterprise Analytics, AI, ML

Sanofi

Product Owner leading a portfolio of AI and analytics products at Sanofi for the US GTN function. Driving digital transformation and product delivery with cross-functional teams.

Posted 7/1/2026full-timeMorristown • Massachusetts, New Jersey • 🇺🇸 United StatesSeniorLead💰 $178,500 - $257,833 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in digital product management, leading complex digital transformation programs, and translating business challenges into structured product roadmaps. Proficient in managing multi-vendor environments and ensuring compliance with enterprise data standards while fostering collaboration across cross-functional teams.

Highest-signal resume keywords

Digital Product ManagementComplex Digital TransformationEnterprise Data ArchitectureAI/ML Solution DesignStakeholder Management

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Hard Skills

PythonSQLSparkData EngineeringForecasting FrameworksPredictive ModelingLean/Agile PracticesUX/UI PrinciplesVariance DecompositionReconciliation Workflows

Soft Skills

Exceptional CommunicationInfluential LeadershipStrong Problem SolvingStrategic ThinkingCollaboration

Tools & Technologies

AzureAWSGCPSnowflakeDatabricksAnaplanAdaptive Insights

Industry Keywords

Digital TransformationPharmaceutical Commercial AnalyticsConnected Data ArchitectureData MeshData Lakes

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformPythonSparkSQL

About the role

Key responsibilities & impact

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.
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.
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.
Identify, assess, and prioritize GTN use cases (retrospective insights, prospective modeling, forecasting, reconciliation, monitoring) based on business value, technical feasibility, and data readiness.
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.
Lead RFP processes, vendor evaluation, and Systems Integrator selection for Dynamic GTN Forecasting platform.
Drive standardization across GTN workflows, dashboards, forecasting logic, and reconciliation engines to ensure consistency and reuse across brands and BUs.
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.
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.
Member of the Global Digital GBU Advanced Analytics & AI Team operating in cross-functional pods.
Foster partnerships and close collaboration between cross-functional teams driving structured ways of working to maximize value and efficiency.
Build and develop teams that use complementary strengths to deliver novel solutions to core business problems.

Requirements

What you’ll need

Bachelors degree with 7+ years of experience in digital product management
5+ years leading complex digital transformation programs in large, matrixed organizations
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.
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.
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.
English a must, French a plus, other languages a plus

Benefits

Comp & perks

high-quality healthcare
prevention and wellness programs
at least 14 weeks’ gender-neutral parental leave