Data & AI Product Manager

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 capabilitiesmoving 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.

• 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.

• 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.

• 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.

• 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.

• 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 documentation and continuous product improvement.
• Ensure product investments are connected to measurable business outcomes rather than delivery milestones alone.

• 6 years of experience across data/analytics product management digital product management analytics data strategy or related roles including experience owning complex enterprise products.
• 3 years of direct product management experience preferred including responsibility for product strategy roadmap prioritization requirements delivery and adoption.
• Demonstrated experience building or managing enterprise data analytics business intelligence or AI-enabled products.
• Strong understanding of modern data and analytics ecosystems including SQL cloud data platforms data pipelines semantic/data models APIs BI platforms and AI/ML capabilities.
• Technical familiarity with GCP Databricks SQL and Python strongly preferred.
• Experience with Looker Power BI or comparable business intelligence and analytics platforms preferred.
• Experience with GenAI conversational analytics AI agents automated insights or AI-enabled enterprise products strongly preferred.
• Strong understanding of data quality governance metadata security privacy and responsible AI considerations within enterprise environments.
• Demonstrated ability to translate ambiguous business problems and executive decision needs into clear product strategies and scalable technical capabilities.
• Strong product judgment with the ability to prioritize across competing business needs technical constraints user experience and long-term scalability.
• Experience operating across global cross-functional and highly matrixed organizations.
• Strong stakeholder management and executive communication skills with the ability to influence without direct authority.
• Highly analytical and comfortable defining and using product metrics to evaluate adoption performance and business value.
• Strong written and verbal communication skills with the ability to communicate effectively across business technical and executive audiences.
• Collaborative curious resourceful and comfortable operating in an evolving environment where not all requirements or solutions are known upfront.