VP, AI/ML Data & Analytics Product Strategy

JPMorgan Chase & Co.

Plano (TX)

On-site

USD 114,000 - 180,000

Full time

29 hours ago

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Job summary

Chase is seeking an AI/ML Data and Analytics - Strategic Product Manager, Vice President in Plano, TX to shape the future of AI-enabled banking by building enterprise data products that are understandable, reusable, and actionable at scale. You will lead the development of context-layer capabilities enabling data, knowledge, controls, and business meaning to be consumed consistently by analytics and AI.

As a Product Manager within the Consumer & Community Banking Data & Analytics team, you will

Qualifications

5+ years in product management, data platforms, analytics, AI/ML products, or related domain.
Advanced knowledge of the product development life cycle, agile practices, design thinking, and data-driven product management.
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.

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.