JPMorgan Chase
Executive Director, Tech-Strategy & Partnerships, Data & AI
$214K–$325K
New York, NY +3 · Director · Full-time · Posted Jul 14, 2026
- Location
- New York, NY
Seattle, WA
Palo Alto, CA
Jersey City, NJ - Experience
- Minimum 6 years of relevant experience, including at least 1 year of managerial experience leading teams; 3+ years working closely with external technology companies in the Cloud and Infrastructure domain.
About the job
Shapes firmwide technology strategy and partnerships, advances adoption of emerging technologies, and builds awareness of Data and AI opportunities across JPMC.
What you'll do
- Build relationships with technology vendors and the emerging technology ecosystem to influence partner roadmaps and align them with JPMC strategy.
- Coordinate evaluation, piloting, and appropriate firmwide scaling of innovations; promote business benefits from advanced technology.
- Build internal awareness of Data and AI opportunities and support client-facing business development and strategically aligned private-company investments.
What they ask for
- At least 6 years of relevant experience in a product role at a leading technology company, top-tier consulting firm, or internal consulting/corporate strategy team, including at least 1 year of managerial experience leading teams.
- At least 3 years working closely with external technology companies in the Cloud and Infrastructure domain.
- Strong relationship, interpersonal, executive communication, and strategy/partnership/innovation capabilities.
- Enterprise customer-level experience with Artificial Intelligence, Data Platforms, and Cyber, plus depth in multiple areas of AI and Data.
Nice to have
- Financial services background.
Pay
USD 213,750.00-$325,000.00 base salary (New York, NY); USD 213,750.00-$325,000.00 base salary (Seattle, WA); USD 213,750.00-$325,000.00 base salary (Palo Alto, CA); USD 213,750.00-$325,000.00 base salary (Jersey City, NJ)
Tools
Cloud, Infrastructure, Artificial Intelligence, Data Platforms, Cyber
AI focus
Build internal awareness of Data and AI opportunities; apply enterprise customer-level experience with Artificial Intelligence and depth in multiple areas of AI and Data.
Model-written summary · the original posting is authoritative