Senior Associate, Product Management-home Lending Transformation

JPMorgan Chase JPMorgan Chase · Banking · Plano, TX +1 · Consumer & Community Banking

Product Manager role focused on transforming Home Lending operations at JPMorgan Chase. The role involves identifying business outcomes, partnering with engineering and design, and delivering solutions. It emphasizes leveraging AI responsibly to accelerate product delivery, discovery, and decisioning, while adhering to governance and using firm-approved tools. The role also focuses on driving innovation, running experiments, and achieving measurable improvements in lead time and adoption rates.

What you'd actually do

  1. Identify opportunities within a product area in partnership with a product leader to improve the loan origination process aligned to clear, measurable goals, translate opportunities into user stories and a prioritized product backlog, and drive the work forward with a cross-functional team to reduce time to originate loans and deliver a world-class customer experience.
  2. Create and maintain high quality documentation and requirements including business and process flow diagrams, Confluence pages, user stories, epics and SSD (spec-driven development) spec documents
  3. Support delivery velocity and quality; proactively remove blockers, align stakeholders for fast decision-making, and ensure solutions are thoroughly tested to enable high-quality production releases. Use lightweight decision frameworks and fast feedback loops to maintain momentum.
  4. Drive innovation and be involved as a change agent within your product area: champion new ideas, challenge legacy processes, and lead cross-functional initiatives that transform Home Lending. Identify and deliver opportunities to create organizational value by leveraging technology, data, and customer insights to reimagine products, accelerate outcomes, and foster continuous improvement
  5. Participate in discovery and usability testing; help design and run rapid experiments (Minimum Viable Products/A‑B tests) to validate assumptions and iterate based on quantified learning, including judicious use of AI‑driven insights and prototyping where appropriate and compliant. Employ rapid prototyping to quickly validate whether ideas may deliver the desired outcomes before investing in a full engineering build.

Skills

Required

  • 3+ years of experience in a Product organization, Business Analyst (product-focused), or closely related role, contributing to end-to-end delivery of customer and business outcomes on complex products
  • 3+ years of hands‑on experience using Atlassian suite (JIRA, JIRA Align, Confluence) to document requirements and plan work.
  • Familiarity with the SDLC and agile delivery (Scrum/Kanban) with demonstrated contributions to improving throughput and quality
  • Working knowledge of product analytics capability; uses data to set targets, instrument features, and manage to outcomes; familiarity with AI/ML concepts and firm‑approved tools to responsibly enhance discovery, prioritization, and customer experiences
  • 3+ years of hands‑on with JIRA/JIRA Align for flow management and expertise leading agile delivery (Scrum/Kanban) with measurable improvements to throughput and quality
  • Applied UX and solution design experience; proficiency with Figma and process‑mapping tools to rapidly frame problems and prototype solutions with engineering/design partners
  • Strong collaboration and communication skills to align engineering, design, and business partners; communicates priorities and progress crisply to maintain pace and technical acumen to engage on trade‑offs and architecture for scalable, resilient solutions
  • Market and competitive analysis experience to identify differentiation opportunities and inform the roadmap with evidence‑based insights
  • Bachelor’s degree in business, Computer Science, Engineering or equivalent practical experience

Nice to have

  • Familiarity with AI/ML concepts and firm‑approved tools to responsibly enhance discovery, prioritization, and customer experiences

What the JD emphasized

  • leveraging AI responsibly
  • firm-approved AI/ML
  • governance
  • human judgment
  • measurable goals
  • reduce time to originate loans
  • world-class customer experience
  • delivery velocity and quality
  • fast decision-making
  • high-quality production releases
  • rapid experiments
  • quantified learning
  • AI‑driven insights
  • rapid prototyping
  • desired outcomes
  • engineering build
  • agile ceremonies
  • focus, accountability
  • culture of growth and continuous improvement
  • instrumentation
  • data backed decisions
  • business outcomes
  • AI/ML
  • signal detection, forecasting, or prioritization
  • firm-approved tools and guidelines
  • product delivery
  • analytics
  • speed discovery
  • inform prioritization and forecasting
  • streamline requirements and testing
  • enhance customer experiences
  • adhering to governance
  • applying human judgment
  • maintain quality and pace
  • owned initiatives
  • reduce lead time from idea to production by 30%
  • increase adoption and completion rates by 25–50%
  • high-impact experiments
  • measurable results