Data Product Manager

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.

• 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 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.

• 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.

• 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.

• 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.

• Familiarity with AI-assisted product workflows, rapid prototyping, prompt-based experimentation, or AI-generated specification and documentation approaches.

• Experience with modern data platforms such as Databricks, Snowflake, Microsoft Fabric, or equivalent.

• Exposure to enterprise SaaS business models and operational metrics.

• Increased adoption of trusted enterprise data products.

• Faster delivery of reporting, analytics, business insights, and AI-enabled workflows.

• Improved data quality, trust, governance,…