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JP Morgan Chase

Runs a consumer bank and an investment bank

Product Director

Technical Product ManagementPosted on Nov 5
Full-timeNew York, NY, USA$180.5k - $285kIn-person

About the Job

Requirements

  • At least 8 years of experience or equivalent expertise delivering products, projects, or technology applications.
  • Extensive knowledge of the product development life cycle, technical design, and data analytics.
  • Ability to influence adoption of product life cycle activities, including discovery, ideation, strategic development, requirements definition, and value management.
  • Experience driving organizational change and managing stakeholders across multiple functions.
  • Product management leadership delivering AI-powered products to production in customer-facing environments, partnering closely with Data Scientists and ML Engineers across the model lifecycle.
  • Experience defining and shipping data products that support agentic assistants, such as operating memory, context, or signals, and integrating them with teams that own the channel experience.
  • Demonstrated success with ML-driven personalization and next-best-action for marketing or servicing, including experimentation such as A/B testing and outcome measurement.
  • Proficient knowledge of the product development life cycle, including discovery, requirements definition, and backlog management using epics, user stories, refinement, PBR, and JIRA.
  • Strong data literacy and ability to use user research, journey insights, and product metrics to inform decisions and roadmaps that deliver on time, cost, and quality.
  • People leadership and stakeholder management, including mentoring product managers and influencing partners across Product, Design, Engineering, Marketing/Servicing, and business teams.
  • Experience with API-first delivery on cloud infrastructure, such as AWS, and coordination across mobile, web, contact center, branch, and marketing experiences.
  • Strong written and presentation skills, with clear and structured communication.

Responsibilities

  • Oversee the product roadmap, vision, development, execution, risk management, and business growth targets.
  • Lead the product life cycle through planning, execution, and future development, adapting methods, developing products, managing risks, and achieving targets for cost, features, reusability, and reliability.
  • Coach and mentor the product team on solution generation, market research, storyboarding, mind-mapping, prototyping, product adoption strategies, and product delivery.
  • Own product performance and invest in enhancements to achieve business objectives.
  • Monitor market trends, conduct competitive analysis, and identify product differentiation opportunities.
  • Lead development of ML-powered personalization and next-best-action capabilities for marketing and servicing; frame hypotheses, prioritize use cases, and measure impact through experimentation.
  • Translate user research and analytics into epics, user stories, and acceptance criteria; manage the backlog and delivery across discovery, launch, and continuous improvement.
  • Collaborate with Data Scientists and Engineers across the personalization product lifecycle, including design, training, evaluation, deployment, and monitoring.
  • Champion API- and event-driven architecture on cloud infrastructure for scalable, reliable delivery of context and signals across channels.
  • Establish and track product KPIs for engagement, quality, and business outcomes, and ensure delivery against time, cost, and quality targets.
  • Uphold responsible data practices with risk, privacy, and compliance teams, including consent management and fairness.
  • Mentor product managers, foster experimentation and measurable outcomes, and influence cross-functional partners.
  • Lead data products and integrations that provide secure, consented customer context and personalized signals for the agentic channel, partnering with the Channel/Interface team and domain agents.
  • Drive ML-powered personalization and next-best-action optimization across marketing and servicing channels.

Desired Qualifications

  • Recognized thought leader in a related field.
  • Prior experience working in a highly matrixed, complex organization.
  • Hands-on experience with personalization and recommendation systems in production.
  • Experience with conversational or agentic systems, operating-memory or context architectures, and recommendation systems for marketing or servicing.
  • Preferred degree in Engineering, Data Science, Business, or a comparable field of study.
  • Knowledge of current digital banking trends and customer experience patterns, and familiarity with privacy, consent, and fairness considerations in AI.

About the Company

JP Morgan Chase

Runs a consumer bank and an investment bank

JPMorgan Chase runs the largest bank in the United States, which serves households and small businesses as Chase and large companies, governments, and investors as J.P. Morgan. During the 2008 financial crisis it bought the failing investment bank Bear Stearns and lender Washington Mutual, and in 2023 it took over First Republic Bank after regulators seized it. Chase takes deposits and earns interest on credit cards, mortgages, and car loans, while the investment side earns fees for advising on mergers, raising money for companies, trading stocks and bonds, and managing wealth. Formed in a 2000 merger, JPMorgan Chase traces its roots to 1799 and is based in New York City.

Company size
10,001+
Company stage
IPO
Headquarters
New York City, New York
Founded
1799

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