JPMorgan Chase
Vice President, Product Manager - Identity
$133K–$215K
New York, NY · Director · Full-time · Posted Oct 28, 2026
- Experience
- 5+ years of demonstrated product management experience in identity, data management, or related technology domains.
- Education
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent professional experience.
- Visa sponsorship
- Applicants must be authorized to work for any employer in the US. The employer cannot provide immigration sponsorship or take over sponsorship of an employment visa at this time.
About the job
Leads the vision, roadmap, and delivery of identity data capabilities, improving data trust, controls, and decision-making across the organization.
What you'll do
- Own the product strategy and prioritized roadmap for identity verification, resolution, graph, and consent capabilities.
- Partner with engineering and stakeholders to deliver secure, scalable products and translate domain needs into requirements and success measures.
- Establish identity data governance and controls, monitor product metrics, and manage privacy, security, and data-quality risks.
What they ask for
- 5+ years of product management experience in identity, data management, or related technology domains.
- Strong understanding of identity verification, identity resolution, identity graphs, and consent management.
- Experience leading cross-functional delivery and defining product roadmaps with measurable business and risk outcomes.
- Technical fluency with modern data platforms, cloud architectures, and data pipelines; knowledge of data governance, privacy, and compliance.
Nice to have
- Experience building technology products in regulated industries; familiarity with identity and access management standards, protocols, and frameworks.
- Experience applying machine learning or artificial intelligence to identity, fraud, or risk use cases; knowledge of graph-based data models.
Pay
USD 133,000.00-215,000.00 base salary
Tools
modern data platforms, cloud architectures, data pipeline technologies, machine learning, artificial intelligence, graph-based data models
AI focus
Preferred experience applying machine learning or artificial intelligence to identity, fraud, or risk use cases.
Model-written summary · the original posting is authoritative