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

JPMorgan Chase & Co.; Plano (TX); On-site; USD 114,000 - 180,000; Full time

Benefits offered by this job

Health care coverage

On-site wellness centers

Retirement savings plan

Tuition reimbursement

Job summary

JP Morgan Chase in Plano, TX seeks a Vice President Product Manager to lead AI/ML data and analytics initiatives. You will shape product strategy, roadmaps, and governance for enterprise data contexts used across analytics, AI, and agentic solutions.

You will partner with ontology, semantic engineering, and governance teams to enable scalable, trusted data products, and mentor a team to deliver measurable business impact.

Qualifications

• 5+ years in product management, data platforms, analytics, or AI/ML products.
• Advanced knowledge of product development lifecycle, agile, design thinking, data-driven PM.
• Experience building strategies, roadmaps, business cases, and success metrics.
• Understanding of enterprise data management, ontologies, taxonomies, knowledge graphs, or metadata management.
• Ability to translate complex requirements into scalable product capabilities.
• Knowledge of governance, lineage, controls, privacy, risk management.

Responsibilities

• Develop and execute product strategies and roadmaps for context-layer capabilities supporting AI, analytics, and enterprise data initiatives.
• Partner with ontology, semantic engineering, data, and technology teams to define requirements.
• Own and prioritize product backlogs balancing customer needs and regulatory requirements.
• Drive adoption of ontologies, semantic models, and taxonomies across domains.
• Define and deliver context engineering tools, APIs, and reusable capabilities for AI deployment.
• Establish product success metrics and monitor outcomes related to adoption and business impact.
• Collaborate with Risk, Compliance, Legal, Controls, and Data Governance for policy compliance.
• Communicate vision, progress, risks, and outcomes to senior leaders and stakeholders.
• Lead and mentor product team members fostering innovation and accountability.

Skills

5+ years of experience

Advanced knowledge of product life cyl

Analytical and executive presentation

Strong communication

Cross-functional influence

Education

Advanced degree in CS / Information Science / Data Analytics / Engineering / Business

Tools

Knowledge graphs / semantic web

Ontology governance

Metadata management platforms

Job description

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

and 1 more

Job Information

• Job Identification 210796321
• Job Category Product Management
• Business Unit Consumer & Community Banking
• Posting Date 11/04/2026, 10:14 PM
• Locations 8181 Communications Pkwy Bldg F, Plano, TX, 75024, US
• Job Schedule Full time
• Job Shift Day
• Base Pay/Salary Plano,TX $114,000.00-$180,000.00; Jersey City,NJ $133,000.00-$215,000.00

Job Description

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 Team

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.