Senior Product Manager - Central Data Repository & Data Platform AI

What you'll do

• Define and evolve product vision and roadmap for enterprise Data & AI Platform including CDR, Unified Data Warehouse, and AI/ML enablement
• Align platform goals with strategic business and data transformation objectives
• Identify opportunities to integrate AI across business systems to improve efficiency and decision intelligence
• Own product lifecycle for core data platform components from ingestion to AI pipeline integration
• Collaborate with engineering to design scalable, secure data and AI systems using Databricks, Power BI, and cloud-native platforms
• Build capabilities for AI experimentation, model deployment, and monitoring at scale
• Translate business requirements into PRDs, user journeys, and data product specifications
• Partner with data engineering and AI teams to define sprint goals, manage backlogs, and ensure timely delivery
• Validate requirements and drive insights during business-as-usual and transformation cycles
• Work closely with finance, sales, account management, and product stakeholders to design integrated data and AI solutions
• Drive alignment across global teams ensuring dependencies are managed
• Serve as single Product point of contact for Engineering to define platform logic and implementation details
• Partner with AI scientists and ML engineers to prioritize and productize AI use cases
• Define frameworks for responsible AI adoption ensuring transparency, explainability, and compliance
• Enable self-serve analytics and AI ecosystem for users across the company

Requirements

• 9+ years overall experience with 7+ years in Product Management building and scaling enterprise-level data and AI products
• Strong understanding of data warehousing, data governance, analytics platforms, and AI/ML systems
• Ability to work with large datasets, define data models, and collaborate with engineering teams on architecture and integrations
• Deep comfort with data-driven decision-making; familiarity with SQL, BI tools, and data pipelines
• Knowledge of ML lifecycle management, model training/deployment workflows, and AI platform integration
• Experience guiding junior PMs, leading cross-functional planning, and managing competing priorities
• Strong stakeholder management skills with ability to drive consensus across global, multi-functional teams
• Self-starter who thrives in ambiguity and delivers impactful outcomes
• Preferred: Experience in enterprise system transformation programs involving CRM, ERP, and monetization platforms
• Preferred: Familiarity with data privacy, security, and ethical AI frameworks
• Preferred: Prior experience in digital marketing, ad-tech, or data-driven B2B platforms

Tech stack

Benefits