Sr. Data Product Leader

Hewlett Packard Enterprise Company; Spring (TX); On-site; USD 150,000 - 190,000; Full time

Job summary

Hewlett Packard Enterprise Company is seeking a Sr. Data Product Leader to own the day‑to‑day execution of treating data as a managed, governed, and thoughtfully designed product across the HPEFS digital ecosystem.

This role reports to the Digital Strategy Leader and collaborates with Operations, Sales, Credit, Risk, Finance, Compliance, Analytics, and AI initiatives. The position emphasizes data governance, enterprise data cataloging, and AI-ready data products, with responsibility for

Qualifications

• Data strategy mindset and product thinking required.
• Ability to translate business needs into data product requirements.
• Experience with data governance and metadata management.
• Strong collaboration across cross-functional teams.
• Familiarity with AI/analytics concepts and data platforms.

Responsibilities

• Own the data product vision, strategy, and roadmap for HPEFS, aligned to data-as-a-product direction.
• Define and maintain the enterprise data product portfolio across Customer, Asset, Transaction, Risk, and Operational data.
• Translate business needs and AI use cases into data product requirements using enterprise frameworks.
• Prioritize portfolio based on business value, reuse, risk reduction, and enabling analytics and AI use cases.
• Align data product priorities with D365, Portals & APIs, Odessa, GPO, Pyramid, and other initiatives.
• Own the full data product lifecycle from ideation to deployment, adoption, iteration, and deprecation.
• Manage a prioritized backlog with clear acceptance criteria, OKR alignment, and release readiness.
• Define and enforce product standards for quality, SLAs, metadata, lineage, and access controls.
• Ensure data products are reusable, scalable across dashboards, APIs, and AI-enabled solutions.
• Define AI-readiness criteria and ensure explainability, proper usage guidance, and dependency mapping for each data product.

Job description

Sr. Data Product Leader

This role has been designed as ''Onsite' with an expectation that you will primarily work from an HPE office.

Who We Are:

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world. Our culture thrives on finding new and better ways to accelerate what's next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

Job Description:

We are seeking a Sr. Data Product Leader to support our office.

Job Description

HPE Financial Services (HPEFS) is seeking a Data Product Leader to own the day-to-day execution of treating data as a managed, governed, and intentionally designed product across the HPEFS digital ecosystem. Reporting to the Digital Strategy Leader, this role is responsible for ensuring HPEFS data is trusted, governed, reusable, and AI-ready so that it can be consumed reliably across reporting, analytics, automation, AI-enabled experiences, and digital products. This is a hands‑on, execution‑focused role an d serves as the primary business‑side voice for data consumers across Operations, Sales, Credit, Risk, Finance, Compliance, Analytics, and AI‑enabled initiatives.

Responsibilities

Data Product Strategy & Roadmap

• Own the data product vision, strategy, and roadmap for HPEFS, aligned to enterprise data-as-a-product direction and broader digital strategy.
• Define and maintain the enterprise data product portfolio across key business domains, including Customer, Asset, Transaction, Risk, and Operational data.
• Translate business needs, AI/analytics use cases, and reporting requirements into outcome-based data product requirements using the enterprise Outcome-Based Requirements (OBR) framework.
• Prioritize the portfolio based on business value potential, reuse, risk reduction, and enablement of downstream analytics, automation, and AI use cases.
• Align data product priorities with D365, Portals & APIs, Odessa, GPO, Pyramid, and other digital ecosystem initiatives, and continuously reassess the portfolio for new products, enhancements, consolidation, or deprecation.

Data Product Lifecycle Management

• Own the full data product lifecycle from ideation and design through development, deployment, adoption, iteration, and deprecation.
• Manage a prioritized backlog with clear acceptance criteria, business outcomes, OKR alignment, and release readiness expectations aligned to enterprise release governance.
• Define and enforce product standards for quality, SLAs, metadata, lineage, cataloging, access controls, and usage guidance.
• Ensure data products are reusable, composable, and scalable across consumption channels, including dashboards, APIs, semantic layers, governed datasets, analytical models, and AI-enabled solutions.

AI & Analytics Enablement

• Ensure HPEFS data products are intentionally designed to support AI, advanced analytics, operational reporting, executive dashboards, automation, and digital product consumption.
• Define AI-readiness criteria that go beyond baseline data product standards, including semantic clarity, business context, explainability, appropriate-use guidance, and fitness for machine consumption.
• Ensure consumers understand intended use, known limitations, interpretation guidance, and downstream dependencies for each data product.