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Data Product Manager, Vice President - Grow

hackajob

$122,550 - $201,000
Dec 20, 2025
New York, NY, US
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J.P. Morgan is looking to solve the problem of delivering high-quality products that resonate with clients by innovating new product offerings and leading the end-to-end product life cycle.

Requirements

  • Advanced knowledge of the product development life cycle, design, and data analytics
  • Understanding of AI concepts, machine learning models, and relevant tools for building and deploying AI products.
  • Experience working with SaaS (Software as a Service) or Enterprise products.
  • Strong analytical skills with the ability to interpret complex data sets and translate them into actionable insights.
  • Knowledge of Oracle HCM (Human Capital Management) and Service Now a plus.
  • Knowledge of data governance, consent management and regulatory standards a plus.
  • Understanding of talent planning, employee profile data, skills taxonomy and AI-powered talent solutions a plus.

Responsibilities

  • Develops a product strategy and product vision that delivers value to customers
  • Manages discovery efforts and market research to uncover customer solutions and integrate them into the product roadmap
  • Owns, maintains, and develops a product backlog that enables development to support the overall strategic roadmap and value proposition
  • Builds the framework and tracks the product's key success metrics such as cost, feature and functionality, risk posture, and reliability
  • Establish metrics and KPIs to measure the success of data products and continuously optimize them based on user feedback and data analysis.
  • Lead release management and testing lifecycles for feature team/s.
  • Lead the team’s efforts to address defects/production issues and reporting requirements.

Other

  • 5+ years of experience or equivalent expertise in product management or a relevant domain area
  • Excellent communication and presentation skills, with the ability to articulate complex concepts to diverse audiences.
  • Proven ability to work collaboratively with technical teams
  • Demonstrated prior experience working in a highly matrixed, complex organization
  • Experience working in or with Talent Development organizations.