VP Data Product Owner - AI-Driven Wealth Management

Aumni

Jersey City (NJ)

On-site

USD 130,000 - 180,000

Full time

14 days+
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Job summary

JPMorgan Chase & Co. is seeking a Product Owner within the Private Bank Chief Data & Analytics Office to lead the end-to-end lifecycle of data products supporting Wealth Management.

You will partner with business, data, and technology teams to define vision, manage roadmaps, and deliver AI-ready data products that are scalable and governance-aligned. You will gather stakeholder feedback, prioritize opportunities, and measure product success through KPIs including data quality, adoption,

Qualifications

  • 5 years of data-product management or equivalent experience.
  • Deep knowledge of the data-product development lifecycle.
  • Experience with data governance and analytics.
  • Ability to lead discovery and ideation.
  • Experience using AI tools to define requirements and metadata.

Responsibilities

  • Develop a data-product strategy that delivers value to customers.
  • Define product vision and manage roadmaps.
  • Lead discovery and gather customer solutions.
  • Integrate solutions into the data-product roadmap.
  • Own and maintain a data-product backlog.
  • Build the framework for the product’s key success metrics.
  • Track data quality, usage, cost, feature and functionality, reliability, scalability and AI-readiness.
  • Develop data products that are AI-ready by ensuring quality metadata and taxonomy.
  • Guide the buildout of a semantic and context layer for AI to discover data-products.
  • Govern data-lifecycle and data governance including data classification, usage, retention, lineage, quality and controls.

Skills

Data-product management
Data governance
Analytics
AI tools usage
SQL basics

Tools

SQL
Graph databases
Metadata tooling

Job description

JPMorgan Chase & Co. is seeking a Product Owner within the Private Bank Chief Data & Analytics Office to lead the end-to-end lifecycle of data products supporting Wealth Management.

You will partner with business, data, and technology teams to define vision, manage roadmaps, and deliver AI-ready data products that are scalable and governance-aligned. You will gather stakeholder feedback, prioritize opportunities, and measure product success through KPIs including data quality, adoption,

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