AI/ML Data and Analytics - Strategic Product Manager, Vice President

• 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.

• 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
• [https://careers.jpmorgan.com/us/en/how-we-hire/faqs] for more information about
• requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

• Our Consumer & Community Banking division serves our Chase customers through a
• range of financial services, including personal banking, credit cards,
• mortgages, auto financing, investment advice, small business loans and payment
• processing. We’re proud to lead the U.S. in credit card sales and deposit growth
• and have the most-used digital solutions – all while ranking first in customer
• satisfaction.

• The CCB Data & Analytics team responsibly leverages data across Chase to build
• competitive advantages for the businesses while providing value and protection
• for customers. The team encompasses a variety of disciplines from data
• governance and strategy to reporting, data science and machine learning. We have
• a strong partnership with Technology, which provides cutting edge data and
• analytics infrastructure. The team powers Chase with insights to create the best
• customer and business outcomes.