Head of Data Product Management

Job Title

Essential Duties & Responsibilities

Data Product Strategy & Vision

• Define and champion the enterprise data product strategy, ensuring alignment with business goals, digital transformation priorities, and value roadmaps.
• Develop a multi-year data product portfolio plan, identifying new opportunities, modernization needs, and rationalization paths.
• Establish enterprise standards for evaluating data product investments, including expected value, feasibility, and adoption impact.

Business Alignment & Value Realization

• Partner with senior business leaders to translate their priorities into actionable data product roadmaps.
• Define KPIs, success metrics, and ROI models for every data product.
• Ensure data products materially improve decision-making, operational efficiency, omnichannel performance, and AI readiness.

Product Leadership & Operating Model

• Build and lead a high-performing Data Product Management team.
• Define and institutionalize the enterprise data product lifecycle—from discovery to design, build, launch, iteration, and retirement.
• Drive consistent, user-centric product design emphasizing reliability, clarity, trust, and accessibility.

Enterprise Collaboration & Orchestration

• Partner across the Data & Analytics ecosystem:
• Data Engineering for scalable, performant data architectures.
• Data Governance to embed quality, lineage, compliance, and security.
• Analytics & AI to ensure data products power advanced modeling, automation, and generative AI use cases.
• Business Units to ensure strong adoption and continuous improvement.
• Serve as the alignment hub for priorities, standards, roadmaps, and delivery timelines.

Data Product Delivery & Continuous Improvement

• Oversee delivery of high-quality, scalable data products.
• Implement ongoing performance monitoring (availability, quality, usage, satisfaction, business outcomes).
• Champion iteration and innovation through user feedback, usage insights, and emerging technology.

Governance, Standards & Risk Management

• Ensure data products comply with enterprise governance, privacy, and regulatory standards.
• Proactively manage data and operational risks in collaboration with legal, compliance, and security teams.
• Promote responsible data usage and ethical AI practices.