Vice President, Utilities Data Owner Lead

JPMorgan Chase

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Work type
On-site
Location
Wilmington, DENew York, NYJersey City, NJPlano, TX
Posted
1 day ago
Freshness
Confirmed live today

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How this pay compares to similar roles

Similar $188k
$133k most similar roles pay here $229k

This listing doesn't post a salary. Most similar roles pay $157,000–$219,775.

Based on 240 similar postings.

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About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

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TL;DR · Vice President, Utilities Data Owner Lead

As the Vice President, Utilities Data Owner Lead within the Data & Analytics team, you will define the strategy, governance, and delivery of trusted data for the Digital Utilities product. You will be responsible for creating governed, reusable data products that support business operations, advanced analytics, machine learning, and generative AI use cases. Your daily work involves partnering with product, design, and technology leaders to ensure data is fit for purpose through clear metadata, lineage, access rules, and quality controls. You will manage the data lifecycle by identifying risks, ensuring accuracy, and coordinating delivery partners. Required skills include experience in data management, engineering, pipelines, modeling, and architecture on cloud platforms like AWS, Google Cloud, or Azure, alongside big data technologies such as Hadoop, Spark, Alteryx, or Snowflake. Proficiency in SQL and tools like Tableau or Python is preferred.

What you'll do

  • Define and execute the data strategy and roadmap for the Digital Utilities product to deliver governed, reusable data products.
  • Partner with product and technology leaders to ensure data is fit for purpose for analytics, machine learning, and generative AI.
  • Establish clear metadata, lineage, access rules, and measurement definitions to improve data discoverability and trust.
  • Identify and prioritize critical data domains while ensuring they are documented, classified, and accessible.
  • Set standards for data accuracy, completeness, and timeliness while coordinating delivery partners to meet quality requirements.
  • Manage the full data lifecycle by identifying and mitigating risks related to protection, retention, storage, and usage.
  • Drive execution against milestones and KPIs while leading and coaching both direct and matrixed team members.

What we're looking for

  • Six years of experience in a data-related field delivering data products, programs, or technology solutions across multiple workstreams.
  • Knowledge of data management, engineering, pipelines, modeling, architecture, and governance on cloud platforms or big data technologies.
  • Experience with metadata, taxonomy, measurement definitions, data quality practices, access controls, lineage, and fit-for-use standards.
  • Experience partnering across multiple functions to deliver outcomes on shared timelines.
  • Strong written and verbal communication skills to explain complex technical concepts to senior audiences.
  • Experience building or governing reusable data products (preferred).
  • Working knowledge of SQL, analytics/cloud tools, machine learning, generative AI, or advanced degrees/certifications (preferred).
  • Bachelor’s degree.

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