VP, Utilities Data Owner & Governance Leader

JPMorgan Chase; Wilmington (DE); On-site; USD 180,000 - 260,000; Full time

Job summary

JPMorgan Chase in Wilmington, DE is seeking a Vice President, Utilities Data Owner Lead to define the strategy, governance, and delivery of trusted data across the Digital Utilities product. You will partner with product, design, and technology leaders to ensure data is fit for purpose and delivered with strong quality and safety controls.

The role focuses on building governed, reusable data products, reducing data risk, and enabling analytics and AI at scale while guiding teams across multiple

Qualifications

• Six years of experience delivering data products or data programs across multiple workstreams.
• Knowledge of data management, governance, and cloud platforms (AWS, GCP, or Azure).
• Bachelor's degree in a relevant field.

Responsibilities

• Define and execute the data strategy and roadmap for the Digital Utilities product.
• Partner with product, design, and technology leaders to ensure data is fit for purpose and supports analytics and AI use cases.
• Identify and prioritize critical data domains and elements; ensure documentation and discoverability.
• Establish data quality expectations and coordinate delivery partners to meet requirements.
• Identify, monitor, and mitigate data risks across the lifecycle, including protection and retention.
• Drive milestones and KPIs; lead or coach cross-functional team members.

Skills

Data governance

Cross-functional collaboration

Communication skills

Cloud data platforms

Education

Bachelor's degree

Tools

SQL

Tableau

Snowflake

Databricks

Job description

JPMorgan Chase in Wilmington, DE is seeking a Vice President, Utilities Data Owner Lead to define the strategy, governance, and delivery of trusted data across the Digital Utilities product. You will partner with product, design, and technology leaders to ensure data is fit for purpose and delivered with strong quality and safety controls.

The role focuses on building governed, reusable data products, reducing data risk, and enabling analytics and AI at scale while guiding teams across multiple