Vice President - Product Manager, Client World Model & Ontology
About the job
- At least 5 years of experience or equivalent expertise in product management or a relevant domain area.
- Advanced knowledge of the product development life cycle, design, and data analytics.
- Proven ability to lead product life cycle activities including discovery, ideation, strategic development, requirements definition, and value management.
- Product management or product ownership experience for a platform, data, or developer-facing product used by other teams, with the ability to serve as its single, hands-on owner.
- A strong grasp of taxonomy, ontology, or data-model design, including defining entities, relationships, and controlled vocabularies and keeping them consistent as they grow.
- Experience running a lightweight content or change workflow from intake through review, publication, and retirement, and gaining agreement from people the candidate does not manage.
- A solid understanding of data lineage and provenance, including the difference between a system of record and derived data and its importance for downstream trust.
- Comfort working in a version-controlled, documentation-as-code environment using Git, structured Markdown or YAML, automated checks, and pull-request review.
- Excellent prioritization and self-management, including the ability to protect a focused roadmap and make decisions under capacity limits.
- Clear, precise written communication with engineers and senior business stakeholders.
- Develop a product strategy and product vision that deliver value to customers.
- Manage discovery efforts and market research to uncover customer solutions and integrate them into the product roadmap.
- Own, maintain, and develop a product backlog that enables development to support the overall strategic roadmap and value proposition.
- Build the framework and track key product success metrics, including cost, features and functionality, risk posture, and reliability.
- Own and maintain the enterprise data model, ensuring consistency, accuracy, and alignment across core client entities, including client identity, hierarchies, coverage roles, revenue metrics, and relationship measures. Resolve overlaps, conflicts, and gaps to deliver a unified product experience.
- Govern the data-model change-management process by managing an approval workflow, coordinating reviews, securing domain-owner sign-off, validating source references, and driving timely publication of approved updates.
- Establish and enforce data-quality standards, reference-integrity requirements, and content-governance practices that support AI-enabled experiences. Partner with engineering teams to automate quality controls and embed validation checks into development and deployment pipelines.
- Manage and communicate the data-consumption contract for AI assistants and downstream consumers, ensuring subscription accuracy, maintaining compatibility, and coordinating breaking changes and release communications.
- Define and execute a focused roadmap for the data-model product, prioritizing high-impact initiatives, balancing delivery against available capacity, and deferring or delegating lower-priority work.
- Collaborate across business and domain teams to align requirements, drive cross-functional decision-making, and escalate complex or disputed issues through established governance forums when necessary.
- Monitor and report on model health and operational performance through metrics including data currency, reference integrity, backlog management, publication turnaround times, and subscription health.
- Demonstrated prior experience working in a highly matrixed, complex organization.
- Experience in wholesale or corporate and investment banking, including Corporates, Financial Institutions, Commercial Real Estate, or Public Sector, or in businesses served by C360 such as Global Banking, Markets, Payments, or Securities Services.
- Familiarity with client-data domains, including client identity and hierarchies, coverage models, revenue and wallet share, and relationship analytics.
- An understanding of how artificial intelligence and large language model agents consume a knowledge or semantic layer, including retrieval-augmented generation and tool or MCP integration, and how content quality shapes agent behavior.
- Exposure to knowledge-graph or ontology tooling, such as RDF, OWL, SKOS, taxonomy managers, or GraphQL.
- Experience working alongside a data-governance function or council.
About the company
JPMorgan Chase runs the largest bank in the United States, which serves households and small businesses as Chase and large companies, governments, and investors as J.P. Morgan. During the 2008 financial crisis it bought the failing investment bank Bear Stearns and lender Washington Mutual, and in 2023 it took over First Republic Bank after regulators seized it. Chase takes deposits and earns interest on credit cards, mortgages, and car loans, while the investment side earns fees for advising on mergers, raising money for companies, trading stocks and bonds, and managing wealth. Formed in a 2000 merger, JPMorgan Chase traces its roots to 1799 and is based in New York City.
Company Size
10,001+
Company Stage
IPO
Headquarters
New York City, New York
Founded
1799
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Simplify's Take
What believers are saying
- Growth is broad-based: every JPMorgan division posted record revenue in the June 2026 quarter, and trading jumped 35%.
- Stock grants gained value: shares rose 21% in three months, valuing JPMorgan at $965 billion in August 2026.
- Tech teams are well funded: JPMorgan's nearly $20 billion yearly tech budget is the largest in banking.
What critics are saying
- AI is shrinking some teams: Dimon said in July 2026 that AI cut up to 40% of certain roles.
- Plan on five office days a week: JPMorgan ended hybrid schedules for all staff in early 2025.
- It is fighting the president in court: Trump sued JPMorgan for $5 billion in January 2026 over his closed accounts.
What makes JP Morgan Chase unique
- It ranks first in investment banking: JPMorgan earned 9.3% of global deal fees in the first half of 2026.
- It trains future CEOs: 10 Fortune 500 chiefs were JPMorgan alumni in September 2025, fifth-most of any employer.
- Its payments arm is a hidden giant: JPMorgan says it processes $12 trillion a day across 160-plus countries.
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Benefits
Health Insurance
Flexible Work Hours
Paid Sick Leave
Paid Holidays
Growth & Insights and Company News
6 month growth
-9%1 year growth
-4%2 year growth
-4%Momei Qu, head of venture at PSP Growth, says Goldman Sachs and JPMorgan are becoming artificial intelligence (AI) stocks. She told Bloomberg's The Close that banks are tied to the AI buildout through debt financing, potential initial public offerings (IPOs) and mergers, though earnings do not show it yet. Lending was a bright spot last quarter. JPMorgan, Citigroup, and Wells Fargo posted a record $56.5 billion in combined net interest income, and JPMorgan's $107 billion outlook, excluding markets, beat the $103 billion consensus. Qu said investors are split on AI valuations: one camp excuses thin margins and heavy spending, while the other wants proof of returns. Anthropic holds its pre-IPO investor day on Wednesday. Bloomberg Intelligence analyst Herman Chan expects the Anthropic IPO to lift Goldman Sachs and Morgan Stanley. He warned that slower AI spending could cut banks' fee revenue from data center bond deals.
Four of Wall Street's biggest banks reported third quarter dealmaking fees of $8.47 billion, up 15% from a year earlier but down 7.5% from a banner second quarter. Goldman Sachs, JPMorgan Chase, Citigroup, and Wells Fargo said activity remains strong despite market volatility and higher borrowing costs. JPMorgan chief financial officer Jeremy Barnum said deals were "delayed rather than canceled" after a slowdown in late September, when volatility widened the gap between what buyers and sellers would accept. Goldman's fees rose 22% to $3.2 billion, led by record M&A advisory revenue. Wells Fargo's rose to $894 million, and Citigroup's rose 9% to $1.35 billion. Goldman chief executive officer David Solomon said some companies postponed initial public offerings (IPOs) in September rather than accept valuations 10% to 15% lower.
Goldman Sachs' equity trading revenue jumped 72% year over year to $6.44 billion in the third quarter, almost twice the $3.47 billion from fixed income. JPMorgan Chase's bond desk missed estimates by more than $500 million. JPMorgan's fixed income revenue fell 4% to $5.4 billion, its first decline in more than two years. Its equities desk rose 49% to $5.0 billion. Herman Chan, a senior US banks analyst at Bloomberg Intelligence, blamed expectations of prolonged high rates, which kept clients on the sidelines in September. "Goldman was the gold standard for the third quarter," he said. Higher rates still helped lenders. JPMorgan's net interest income rose 12.8% to $27.04 billion.
JP Morgan chief executive Jamie Dimon has warned savers against letting AI bots manage their money. He said customers could be liable for mistakes made by an agent acting on their behalf. "If people are using them, they should understand the risk," he said. JP Morgan will not let outside agents inside the company, calling it too risky for clients and the bank. The warning clashes with Silicon Valley's push. OpenAI has launched a "personal finance experience" for paid ChatGPT users in the US, and Anthropic is reportedly testing a similar tool. McKinsey found a quarter of UK consumers use AI for financial tasks at least monthly. It estimates savers could move up to £700bn out of low-interest accounts on chatbot advice.
Tenable, the exposure management company, has entered a credit agreement for a $400 million senior secured revolving credit facility. The facility is initially undrawn and gives the company more flexibility in how it allocates capital. Together with the convertible note financing announced in September, it completes the refinancing of Tenable's prior credit agreement, which included a Term Loan B facility. It also replaces the revolving credit facility that matured in July. The new loans mature on October 13, 2031, subject to a springing maturity date of 91 days inside the maturity of other material indebtedness. JPMorgan Chase Bank acted as administrative agent, and Cooley LLP advised Tenable.