Shape the future of AI-enabled banking by building the products that make enterprise data understandable, reusable, and actionable at scale. Join a highly visible team driving foundational capabilities that enable trusted, context-aware experiences across Consumer & Community Banking.
As a Product Manager within the Consumer & Community Banking Data & Analytics team, you are responsible for defining and delivering products that create and manage shared business context across the enterprise. You will lead the development of context-layer capabilities that enable data, knowledge, controls, and business meaning to be consumed consistently by analytics, AI, and agentic solutions.
Leveraging your expertise in product management, data platforms, and enterprise-scale transformation, you will partner closely with ontology, semantic engineering, technology, governance, and business teams to deliver products that improve interoperability, enable AI adoption, and strengthen customer and business outcomes. You will own product strategy, roadmap prioritization, stakeholder alignment, and measurable outcomes while ensuring solutions are scalable, resilient, governed, and trusted.
Job Responsibilities
- Develop and execute product strategies and roadmaps for context-layer capabilities that support AI, analytics, and enterprise data initiatives.
- Partner with ontology, semantic engineering, data, and technology teams to define requirements and deliver context products that enable agent-ready experiences.
- Own and prioritize product backlogs, balancing customer needs, business objectives, technology feasibility, and regulatory requirements.
- Drive adoption of enterprise ontologies, semantic models, and taxonomies across business domains.
- Define and deliver context engineering tools, APIs, and reusable capabilities that accelerate AI and agent deployment across CCB.
- Establish product success metrics and monitor outcomes related to adoption, semantic quality, operational efficiency, controls effectiveness, and business impact.
- Partner with Risk, Compliance, Legal, Controls, and Data Governance teams to ensure products operate within approved policies and regulatory requirements.
- Communicate product vision, progress, risks, and outcomes to senior leaders, stakeholders, and cross-functional teams.
- Lead and mentor product team members while fostering a culture of innovation, accountability, continuous improvement, and customer-centric thinking.
Required Qualifications, Capabilities, and Skills
- 5+ years of experience or equivalent expertise in product management, data platforms, analytics, AI/ML products, or a related domain.
- Advanced knowledge of the product development life cycle, agile practices, design thinking, and data-driven product management.
- Demonstrated experience developing product strategies, roadmaps, business cases, and measurable success metrics.
- Strong understanding of enterprise data management, semantic technologies, ontologies, taxonomies, knowledge graphs, or metadata management concepts.
- Experience translating complex business and technical requirements into scalable product capabilities and customer outcomes.
- Knowledge of governance, lineage, controls, auditability, privacy, and risk management principles within regulated environments.
- Proven ability to influence cross-functional stakeholders and drive outcomes across large, matrixed organizations.
- Strong analytical, problem-solving, communication, and executive presentation skills.
- Experience managing competing priorities and delivering products with measurable business impact.
- Ability to leverage AI-enabled insights and emerging technologies to improve product decision-making and business outcomes.
Preferred Qualifications, Capabilities, and Skills
- Advanced degree in Computer Science, Information Science, Data Analytics, Engineering, Business, or a related discipline.
- Experience within financial services or other highly regulated industries.
- Experience delivering AI, machine learning, generative AI, or agentic AI-enabled products.
- Familiarity with knowledge graph technologies, semantic web standards, ontology governance, and metadata management platforms.
- Experience with virtual knowledge graph architectures and enterprise-scale data integration solutions.
- Knowledge of retrieval-augmented generation (RAG), context engineering, memory frameworks, or reusable AI service architectures.
- Experience leading large-scale transformation initiatives involving data, AI, analytics, or enterprise platforms.
About Us
Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Equal Opportunity Employer/Disability/Veterans
About the TeamSkills Required
- 5+ years of experience or equivalent expertise in product management, data platforms, analytics, AI/ML products, or a related domain
- Advanced knowledge of product development life cycle, agile practices, design thinking, and data-driven product management
- Experience developing product strategies, roadmaps, business cases, and measurable success metrics
- Understanding of enterprise data management, semantic technologies, ontologies, taxonomies, knowledge graphs, or metadata management
- Experience translating complex business and technical requirements into scalable product capabilities and customer outcomes
- Knowledge of governance, lineage, controls, auditability, privacy, and risk management principles within regulated environments
- Ability to influence cross-functional stakeholders and drive outcomes across large, matrixed organizations
- Strong analytical, problem-solving, communication, and executive presentation skills
- Experience managing competing priorities and delivering products with measurable business impact
- Ability to leverage AI-enabled insights and emerging technologies to improve product decision-making and business outcomes
- Advanced degree in Computer Science, Information Science, Data Analytics, Engineering, Business, or a related discipline
- Experience within financial services or another highly regulated industry
- Experience delivering AI, machine learning, generative AI, or agentic AI-enabled products
- Familiarity with knowledge graph technologies, semantic web standards, ontology governance, and metadata management platforms
- Experience with virtual knowledge graph architectures and enterprise-scale data integration solutions
- Knowledge of retrieval-augmented generation, context engineering, memory frameworks, or reusable AI service architectures
- Experience leading large-scale transformation initiatives involving data, AI, analytics, or enterprise platforms
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
-
Healthcare Strength — Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
-
Parental & Family Support — Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
-
Retirement Support — Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
Gallery







