Data Product Manager

Position Summary Level Access is seeking a Data Product Manager to own enterprise data products that power reporting, analytics, operational intelligence, and AI-enabled workflows across the business. Reporting to the Sr. Director of Business Systems, this role bridges business stakeholders and the Data & AI Engineering team to translate business problems into trusted data products, reusable context, analytics capabilities, and AI-ready solutions. Success in this role is measured not by data delivered, but by business outcomes enabled. Responsibilities Own the Data Product Roadmap • Partner with business leaders to identify high-value data, analytics, automation, and AI opportunities. • Translate business objectives into a prioritized roadmap of reusable data products and capabilities. • Prioritize work based on business impact, operational efficiency, customer outcomes, AI readiness, and strategic goals. • Define success measures that connect data product delivery to business outcomes. Define Trusted Data Domains • Define enterprise data domains, ownership models, business definitions, metrics, KPIs, and data contracts. • Maintain the enterprise data dictionary and business glossary. • Drive consistency across reporting, dashboards, operational systems, and AI-enabled workflows. • Advocate for data quality, lineage, governance, stewardship, and appropriate use of sensitive data. Drive AI-Augmented Product Development • Use rapid experimentation, AI-assisted prototyping, and iterative validation to shape data and AI product opportunities. • Translate business problems, signals, and data opportunities into clear product specifications for Data Engineering, Applied AI Engineering, Business Systems, and other technical teams. • Use AI tools to accelerate discovery, synthesis, requirements development, prototype generation, documentation, and decision support. • Help establish a prototype-to-spec workflow that turns validated ideas into actionable work for AI-augmented engineering teams. Partner with Engineering in an AI-Augmented Delivery Model • Work as part of a small cross-functional Data & AI Product Team that collaborates early and often across product, data, AI, business systems, and engineering disciplines. • Partner with Data Engineers and Applied AI Engineers on solution design, prototype review, specification refinement, validation, testing, instrumentation, and adoption planning. • Ensure technical solutions align with business intent, data requirements, technical feasibility, governance expectations, and measurable outcomes. • Support an AI-augmented SDLC where specifications, test cases, implementation guidance, and documentation may be accelerated with AI and validated by human expertise. Qualifications Required • 5+ years of experience in Product Management, Data Product Management, Business Systems, Analytics, or a related discipline. • Experience working with senior business stakeholders to define priorities, requirements, tradeoffs, and success measures. • Experience supporting AI, machine learning, copilots, agentic workflows, or intelligent automation. • Strong understanding of data platforms, reporting, BI, analytics, data governance, and enterprise data concepts. • Experience translating business needs into product specifications, technical requirements, user stories, acceptance criteria, and measurable outcomes. • Experience working in highly collaborative product and engineering environments that use rapid prototyping, iterative discovery, and early technical partnership. • Strong communication, facilitation, and stakeholder management skills. Preferred • Familiarity with AI-assisted product workflows, rapid prototyping, prompt-based experimentation, or AI-generated specifica