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

JPMorgan Chase

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Plano, TXJersey City, NJ
Employment: Full-time
Posted: 1 day ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

How this pay compares to similar roles

Similar $211k

$157k most similar roles pay here $254k

This listing doesn't post a salary. Most similar roles pay $176,800–$244,850.

Based on 240 similar postings.

Employer

About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 1058 open roles on FindRole.

Most-posted roles

View all roles at JPMorgan Chase

At a glance

TL;DR · AI/ML Data and Analytics Strategic Product Manager, Vice President

Role Posting Log in to save

AI/ML Data and Analytics - Strategic Product Manager, Vice President serves within the Consumer & Community Banking Data & Analytics team to build products that make enterprise data understandable, reusable, and actionable at scale. This role focuses on developing context-layer capabilities, including tools, APIs, and reusable components that enable agentic solutions and consistent business meaning across analytics and AI systems. The manager will define product strategies, manage roadmaps, and prioritize backlogs while collaborating with ontology, semantic engineering, and governance teams to improve interoperability. Key technical areas include knowledge graphs, semantic web standards, metadata management, and retrieval-augmented generation. The role addresses the challenge of creating trusted, context-aware experiences in a regulated environment by integrating ontologies and taxonomies into enterprise data systems to accelerate AI adoption and ensure products remain scalable, resilient, and compliant with risk and governance policies.

Skills

AI Machine Learning Generative AI Agentic AI RAG Knowledge Graphs Ontology Semantic Engineering Data Management Metadata Management Agile Data Analytics Context Engineering Data Governance Data Integration

What you'll do

Develop and execute product strategies and roadmaps for context-layer capabilities supporting AI and enterprise data.
Partner with engineering teams to define requirements for products that enable agent-ready experiences.
Manage and prioritize product backlogs based on customer needs, business goals, and regulatory requirements.
Drive the adoption of enterprise ontologies, semantic models, and taxonomies across various business domains.
Deliver context engineering tools, APIs, and reusable capabilities to accelerate AI and agent deployment.
Establish and monitor success metrics related to adoption, semantic quality, and operational efficiency.
Ensure all products comply with risk, compliance, legal, and data governance policies.
Communicate product vision, progress, risks, and outcomes to senior leadership and stakeholders.

What we're looking for

5+ years of experience 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.
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.
Advanced degree in Computer Science, Information Science, Data Analytics, Engineering, Business, or a related discipline (preferred).
Experience delivering AI, machine learning, generative AI, or agentic AI-enabled products (preferred).

Save