Data & AI Product Manager

Description The Data & AI Product Manager, Digital will lead the strategy, development, and evolution of enterprise data, analytics, and AI products that enable faster, more consistent, and forward-looking business decision-making across the organization.

This role will help build foresight capabilities, enterprise insights infrastructure, advanced analytics capabilities, and scalable learning systems that future-proof how the organization understands market performance, consumers, and business opportunities.

A key focus will be transforming complex and fragmented market performance data into scalable, AI-powered business intelligence capabilities—moving beyond traditional reporting toward automated insights, conversational analytics, intelligent data harmonization, and decision-support experiences.

The role will operate at the intersection of business strategy, data, analytics, AI, engineering, and user experience, owning products from strategy and discovery through launch, adoption, optimization, and lifecycle management.

Descriptiobn Continued Data & AI Product Strategy Own the multi-year product vision, strategy, roadmap, and prioritization for strategic enterprise data, analytics, and AI products.

Translate enterprise and Digital priorities into scalable product capabilities that improve how leaders and teams access insights and make decisions.

Identify opportunities to evolve traditional reporting and analytics into AI-powered intelligence and decision-support products.

End-to-End Product Ownership Own the full product lifecycle across discovery, requirements, design, development, testing, launch, adoption, optimization, and transition/decommissioning.

Translate business needs into clear product requirements, user stories, acceptance criteria, and prioritized product backlogs.

Make product trade-offs across business value, user experience, technical feasibility, scalability, cost, and time-to-value.

Partner with engineering and architecture teams to ensure solutions are reliable, scalable, maintainable, and aligned with enterprise technology standards.

AI-Powered Insights & Foresight Drive the evolution of product capabilities including AI-enabled experiences, conversational analytics, automated insight generation, anomaly and opportunity detection, intelligent harmonization, and decision support.

Partner with Data Science, AI, Engineering, and business teams to identify high-value AI use cases and translate them into scalable product capabilities.

Establish appropriate human-in-the-loop workflows, transparency, validation, and monitoring for AI-generated insights.

Continuously evaluate emerging data and AI capabilities and determine where they can create meaningful business value.

Business Partnership & Cross-Functional Product Delivery Create alignment around product vision, priorities, scope, success measures, and roadmap.

Serve as the bridge between business users and technical teams, ensuring products solve meaningful business problems rather than simply deliver technical functionality.

Orchestrate delivery across Product, Data Engineering, Analytics, Data Science/AI, Architecture, UX, business teams, governance functions, and strategic vendors.

Establish clear ownership, decision rights, dependencies, milestones, and escalation paths across complex enterprise initiatives.

Manage strategic vendors and partners where required while maintaining clear internal ownership of product strategy and outcomes.

Adoption, Value & Product Performance Define product success measures spanning adoption, engagement, data quality, reliability, efficiency, user experience, decision impact, and measurable business value.

Drive adoption through stakeholder engagement, enablement, change management,…