Senior Data Product Lead: AI-Ready Data Strategy

Hewlett Packard Enterprise Development LP; 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, and designed product across the HPEFS digital ecosystem. This role reports to the Digital Strategy Leader and collaborates with Operations, Sales, Credit, Risk, Finance, and Compliance teams.

You will lead data product strategy, lifecycle, and governance to ensure AI-ready, trusted data for dashboards, analytics, and AI-enabled experiences.

Qualifications

• First-level university degree or equivalent experience; advanced degree preferred.
• 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 squads.
• Experience treating data as a product with roadmaps, backlogs, and outcomes.

Responsibilities

• Define data product vision, strategy, and roadmap for HPEFS.
• Own the full data product lifecycle from ideation to deprecation.
• Manage a prioritized backlog with clear acceptance criteria and OKR alignment.
• Ensure data products are reusable, scalable, and consumable across dashboards, APIs, and datasets.
• Collaborate with cross-functional teams to enable AI-ready data products.

Skills

Data governance

Data quality

SQL proficiency

Databricks

Snowflake

Microsoft Fabric

BI tools

Collibra

Education

First-level university degree or equivalent experience

Advanced university degree preferred

Tools

Databricks

Snowflake

Microsoft Fabric

Collibra

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, and designed product across the HPEFS digital ecosystem. This role reports to the Digital Strategy Leader and collaborates with Operations, Sales, Credit, Risk, Finance, and Compliance teams.

You will lead data product strategy, lifecycle, and governance to ensure AI-ready, trusted data for dashboards, analytics, and AI-enabled experiences.