Data Product Leader — AI-Ready, Governed Data Strategy

Hewlett Packard Enterprise; Spring (TX); On-site; USD 135,000 - 311,000; Full time

Job summary

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

You will lead data product strategy, lifecycle, and governance to ensure trusted, reusable data for reporting, analytics, and AI-enabled solutions. The role requires 7+ years in data/product management, strong stakeholder collaboration, and leadership across global teams.

Qualifications

• First-level university degree or equivalent experience; advanced university degree preferred (Business, Information Systems, Data Science, CS, or related).
• Typically 7+ years of related experience in product management, data management, or data strategy.
• Prior people management experience required, including leading direct reports or cross-functional teams.
• Demonstrated experience treating data as a product, including roadmaps, backlogs, and outcomes.

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 the OBR framework.
• Prioritize the portfolio based on value, reuse, risk reduction, and enablement of analytics and AI use cases.
• Align data product priorities with D365, Portals & APIs, Odessa, GPO, Pyramid, and other initiatives.

Skills

SQL proficiency

Data governance

Stakeholder management

Analytical thinking

Education

Bachelor's degree or higher

Advanced degree preferred

Tools

Jira

Azure DevOps

Databricks

Snowflake

Microsoft Fabric

Job description

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

You will lead data product strategy, lifecycle, and governance to ensure trusted, reusable data for reporting, analytics, and AI-enabled solutions. The role requires 7+ years in data/product management, strong stakeholder collaboration, and leadership across global teams.