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© All Rights Reserved. ApplyBlast.com
JPMorganChase
This role defines and scales the semantic foundation for enterprise data, analytics, AI, and agentic ecosystems, ensuring business concepts and metrics are structured for machine readability and AI consumption. The position involves establishing standards, reusable patterns, and context engineering best practices across data products and AI solutions. It requires partnering with cross-functional teams to embed semantic architecture into delivery while continuously improving AI solution accuracy through experimentation and evaluation.
JPMorgan Chase is a leading global financial services firm that provides a full range of banking, investment banking, asset and wealth management, and payments and treasury services to consumers, businesses, governments, and institutions. Its consumer business operates under the Chase brand, offering retail banking, credit cards, mortgages and auto loans, while J.P. Morgan delivers corporate & investment banking, markets, securities services and asset management. Headquartered in New York, the firm combines scale, technology and risk management to serve clients worldwide. It is one of the largest banks by assets and is widely recognized for its capital markets expertise and integrated financial solutions.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for JPMorganChase.
JPMorganChase didn’t post a salary, so this is our estimate from similar listings.
9% above the average for this role
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