Vice President AI Data Products

JPMorgan Chase

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
New York, NY
Posted
52 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $196k
$132k most similar roles pay here $241k

This listing doesn't post a salary. Most similar roles pay $161,250–$230,500.

Based on 239 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.

JPMorgan Chase currently has 1117 open roles on FindRole.

Listed pay typically runs $186,160–$215,000 across 7 roles with salary data.

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At a glance

TL;DR · Vice President AI Data Products

As a Vice President - AI Data Products within the Chief Data & Analytics Office, you will drive the firmwide transition toward a data product approach to enhance data reuse and speed to insight. You will be responsible for defining, developing, and registering curated data products that meet specific business needs while ensuring they are discoverable in a central catalog. Your daily work involves collaborating with various lines of business to build a culture of data product management, creating strategic reports, and establishing effectiveness metrics like OKRs and KPIs. The role requires expertise in data management, artificial intelligence, machine learning, and cloud-native platforms such as Databricks, Snowflake, and Starburst. You will solve complex problems regarding data governance and regulatory requirements while translating technical concepts into actionable insights for non-technical stakeholders to support firmwide analytics strategies.

What you'll do

  • Execute and refine the firmwide approach for developing and registering curated data products.
  • Gather feedback from pilot programs to improve organizational guidance on data product management.
  • Identify high-priority data products with Lines of Business to ensure they are extensible for organization-wide use.
  • Ensure all data products are consistently registered in the firmwide catalog for easy discovery.
  • Create strategic reports and white papers that synthesize expert input into clear data strategy initiatives.
  • Define effectiveness metrics, such as OKRs and KPIs, and provide synthesized analysis to senior management.
  • Translate complex technical data concepts into actionable insights for non-technical stakeholders.
  • Serve as a trusted advisor to data leaders to drive the adoption of best practices across the firm.

What we're looking for

  • 5+ years of relevant experience in data management, data engineering, artificial intelligence, and machine learning domains.
  • 3+ years of experience as a product manager, designer, engineer, data analyst, data scientist, or user researcher.
  • Ability to solve complex problems with multiple constraints using sound judgment and data-driven narratives.
  • Proven ability to engage and collaborate effectively with engineers, designers, and company leaders.
  • Exceptional analytical, problem solving, communication, and presentation skills.
  • Ability to articulate business needs to technical teams and convey technical issues to business leadership.
  • Familiarity with the financial services industry (preferred).
  • Proficiency in data management tools and cloud-native platforms like Databricks, Snowflake, or Starburst (preferred).

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