Senior Director of Software Engineering - AI & Data
This is a top-tier executive engineering role designed for a visionary who can harmonize complex data governance with aggressive AI innovation. You will own the roadmap for the enterprise data platform, directly impacting how the world's leading financial institution utilizes its most valuable asset: data. It is a unique blend of high-stakes infrastructure management and forward-looking automation strategy.
JPMorganChase
Columbus, Ohio, United States · Posted 25 April 2026
The role
Overview
The hiring side
About JPMorganChase
JPMorganChase is an enterprise organisation working in financial services, based in Columbus, Ohio, United States.
Financial Services
Enterprise
Columbus, Ohio, United States
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Requirements & Skills
Key Responsibilities
- Define the enterprise data platform vision and align it with global business priorities
- Oversee the delivery of scalable data pipelines using Databricks
- Implement fine-grained, policy-based access controls via Immuta
- Scale machine learning experimentation and deployment foundations
- Drive the adoption of automated agent-based workflows for decision support
- Manage financial performance and service level objectives for cloud workloads
- Recruit and mentor high-performing engineering and AI leadership talent
Essential
- 10+ years of applied software engineering experience with formal training or certification
- 5+ years of senior leadership experience managing technical teams and complex domains
- Proven track record of building and operating enterprise-scale data platforms
- Deep expertise in modern lakehouse architectures and cloud data platforms
- Extensive experience with Databricks at an enterprise scale
- Background in establishing data governance frameworks including quality, lineage, and metadata
- Hands-on experience with policy-driven data access controls and secure sharing
- Experience with Immuta for data access management
- Demonstrated ability to deploy and monitor production-grade machine learning models
- Knowledge of distributed processing, data modeling, and platform re-architecture
Preferred
- Experience with agent-based workflow patterns in large-scale enterprise environments
- Advanced understanding of responsible AI practices and governance controls
- Experience navigating complex regulatory, legal, and privacy requirements in finance
Key Skills
Networking
People to Know
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Perks
Benefits & perks
- Opportunity to lead digital transformation at a global scale
- Access to cutting-edge cloud and AI technologies
- Comprehensive leadership development and mentoring opportunities
- Collaborative environment within a major Enterprise Technology division
- Influence over firm-wide data strategy and AI adoption
Next step
Apply now
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