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oracle

AM Data Product Manager - VP

JPMorgan Chase
London, GBR
Full-time
Senior
Onsite
Discovered 4 weeks ago
SQLPython

Full Job Posting

Job Responsibilities

  • Partner directly with business consumers to understand use cases and requirements, translating demand into clear specifications for data product development
  • Work with data owners and custodians to understand data sourcing options, assess data quality and fitness for purpose, and oversee data curation to meet consumer needs
  • Drive data product development end-to-end, coordinating across business stakeholders, data owners, and technology teams to deliver products that meet defined requirements and standards
  • Ensure data products meet documentation, governance, and control standards, including ownership, data contracts, quality expectations, access models, and audit evidence requirements
  • Support adoption and value realization by working with consumers to ensure products are understood, accessible, and delivering intended business outcomes
  • Deploy as accelerator or surge capacity on priority business initiatives, providing hands-on data product expertise to supplement domain teams and accelerate delivery
  • Support the design and continuous improvement of the data product operating model, standards, and governance processes in partnership with transformation leadership
  • Contribute to rationalization efforts by assessing existing data products for duplication, quality issues, and consolidation opportunities

Required Qualifications, Capabilities, and Skills

  • Direct hands-on experience developing data products or similar data assets, including curated datasets, analytical datasets, or data services
  • Strong business engagement skills with the ability to elicit requirements, understand use cases, and translate business needs into data solutions
  • Experience working with data owners and data engineering teams to source, transform, and curate data
  • Solid understanding of data quality and metadata management, with proficiency in SQL and Python
  • Ability to operate effectively in a matrixed environment and influence stakeholders across business, data, and technology functions
  • Understanding of risk and control principles, including security and data integrity requirements in regulated environments
  • Ability to adapt to shifting business priorities and support multiple domain contexts as needs evolve

Preferred Qualifications, Capabilities, and Skills

  • Experience within Asset Management, including exposure to building business-centric data products supporting client or investment-related data domains
  • Familiarity with data product practices such as data contracts, lifecycle management, and product telemetry

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