Product Management [multiple Positions Available]

JPMorgan Chase JPMorgan Chase · Banking · Jersey City, NJ +1 · Commercial & Investment Bank

Product Manager for digital product initiatives in capital markets, focusing on strategy, execution, and go-to-market. Responsibilities include defining product vision, roadmap, and features, collaborating with cross-functional teams, and driving product development from concept to launch. Requires experience in managing the product development lifecycle, conducting market analysis, running research studies, performing data analysis, managing Agile workflows, and integrating AI/ML capabilities into digital products.

What you'd actually do

  1. Drive strategy, execution, and go-to-market planning for digital product initiatives with a focus on capital markets workflows.
  2. Define product vision, roadmap, and features based on user research, business goals, and market trends.
  3. Collect user insights, journey mapping, and market analysis to inform strategic direction and identify potential product features.
  4. Collaborate with cross-functional internal and external teams to build scalable solutions across global regions.
  5. Drive product development from concept to launch with design, engineering, and data teams, establishing clear documentation, delivering on timelines, and upholding quality standards.

Skills

Required

  • Managing the product development lifecycle from conception to launch, including discovery, ideation, strategic development, requirements definition, testing, and adoption within regulated financial services organizations
  • Conducting market analysis to identify industry trends, assess the competitive landscape, and identify strategic opportunities
  • Running research studies to test hypotheses and understand user needs
  • Performing data and financial analysis using Excel, Tableau, and Heap for statistical modeling, forecasting, impact assessment, and visualization of adoption metrics, usage patterns, and engagement trends
  • Creating and maintaining stakeholder documentation using Microsoft PowerPoint, Word, and Confluence for executive presentations, cross-functional alignment, and regulatory reporting
  • Managing Agile development workflows using sprint planning, backlog refinement, and engineering ticket tracking in JIRA and Scrum
  • Managing cross-functional project progress using Monday.com to track dependencies and milestones
  • Reviewing and contributing to wireframes, mockups, and user flows using Figma
  • Applying design thinking methodologies including user journey mapping, empathy mapping, persona development, affinity mapping, whiteboarding, storytelling, usability testing, A/B testing, heuristic evaluations, rapid prototyping, and experimentation
  • Leading digital platform modernization efforts, including infrastructure upgrades, system integrations, and migration of legacy workflows to scalable digital tools
  • Integrating third-party APIs and tools including external vendors such as Qualtrics or Medallia and marketing automation platforms including cloud infrastructure services using AWS, AWS API Gateway, and Snowflake
  • Automating workflows and enabling secure data exchange using internal enterprise APIs to improve operational efficiency
  • Informing product strategy and identifying opportunities for digital banking products
  • Integrating AI and machine learning capabilities such as prompt engineering, predictive analytics, and intelligent recommendations into digital products to automate workflows, enable problem-solving, generate insights, and enhance self-service user experiences
  • Designing and implementing usage tracking and telemetry strategies to capture behavioral insights and support product governance
  • Delivering and managing mobile applications for internal enterprise use by defining functional requirements, coordinating cross-functional teams, overseeing QA and mobile optimization, and enabling access to workplace tools and systems

What the JD emphasized

  • capital markets workflows
  • regulated financial services organizations
  • AI and machine learning capabilities

Other signals

  • Integrate AI and ML capabilities into digital products
  • Leverage data driven insights to guide decisions
  • Analyze and evaluate product metrics