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JP Morgan

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Kinexys Digital Assets - Product Manager - Senior Associate

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Summary

Senior Associate Product Manager on JPMorgan's Kinexys Digital Assets (blockchain) team in London, partnering with the Product Manager on user research, market analysis, and metrics tracking to identify product opportunities, shape the roadmap, and write requirements, epics, and user stories for digital-asset products.

Unleash your expertise in product development and optimization by leveraging user research, analyzing metrics, and collaborating across one of the world’s most innovative financial organizations.

As a Senior Product Associate in Kinexys, you contribute to the team by leveraging your expertise in product development and optimization to make a significant impact, supported by user research and customer feedback to fuel the creation of innovative products and continuously improve existing offerings. Collaborate closely with cross-functional teams and play a crucial role in shaping the future of our products and ongoing success.

Job responsibilities
  • Partners with the Product Manager to identify new product opportunities that reflect the needs of our customers and the market through user research and discovery
  • Considers and plans for upstream and downstream implications of new product features on the overall product experience
  • Supports the collection of user research, journey mapping, and market analysis to inform the strategic product roadmap and provide insight on potential product features that provide value to customers
  • Analyzes, tracks, and evaluates product metrics including work to time, cost, and quality targets across the product development life cycle
  • Writes the requirements, epics, and user stories to support product development
Required qualifications, capabilities, and skills
  • Experience in product management or a relevant domain area
  • Proficient knowledge of the product development life cycle
  • Experience in product life cycle activities including discovery and requirements definition
  • Developing knowledge of data analytics and data literacy

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