Head of Data Platform & AI Engineering

JP Morgan Chase; Jersey City (NJ); On-site; USD 240,000 - 340,000; Full time

Job summary

JPMorganChase is seeking a Senior Director of Software Engineering to lead the Databricks-based data lake and consumption platform on AWS. You will direct global engineering teams delivering data pipelines, APIs, and self-service analytics while aligning platform roadmaps with business priorities and governance requirements.

You will partner with business, product, technology, audit, and compliance to set investments, architectural choices, and delivery trade-offs.

Qualifications

• Formal training or certification in software engineering concepts.
• 10+ years of applied experience, including 5+ years leading technologists in delivery of complex engineering capabilities.
• Experience leading large or cross-functional, globally distributed engineering teams, including hiring, developing, and recognizing talent.
• Deep technical or architectural expertise in Databricks on AWS, including Unity Catalog, Delta Sharing, Lakehouse Federation, and data pipeline development.
• Experience delivering data consumption and self-service analytics capabilities spanning pipelines, APIs, and reporting or front-end data products.
• Experience leading multi-organization adoption of agentic AI-enabled engineering operating models, including governance and secure handling of sensitive inputs/outputs across teams.

Responsibilities

• Own the platform strategy, roadmap, and delivery across data onboarding, access provisioning, and consumption capabilities.
• Lead and develop global, distributed engineering teams delivering data pipelines, APIs, front-end data products, and self-service analytics; establish technical standards, delivery accountability, and cross-team collaboration.
• Direct data onboarding and integration using Unity Catalog, Delta Sharing, and Lakehouse Federation, enabling governed access across workspaces, catalogs, and lines of business.
• Partner with senior business, product, technology, audit, and compliance stakeholders to prioritize investments and communicate architectural choices and delivery trade-offs.
• Establish onboarding controls for data classification, metadata, lineage, and access; ensure data is ready for consumption with clear ownership.
• Own platform production readiness, scalability, resilience, and audit readiness; drive remediation of control gaps involving service identities and credential lifecycle.
• Define and monitor service-level objectives for stakeholder-facing data products, evaluating Databricks-native capabilities where beneficial.
• Set standards for enterprise-authorized AI-assisted engineering workflows with automated testing and release governance, with human oversight.
• Set and scales multi-department strategy for agentic AI-enabled engineering and SDLC/TLM automation to drive firmwide objectives.

Skills

Databricks on AWS

Unity Catalog

Delta Sharing

Lakehouse Federation

Data pipelines

APIs

Self-service analytics

Stakeholder management

Cloud-native experience

Leadership

Education

Software engineering certification

Tools

Databricks

AWS

Job description

JPMorganChase is seeking a Senior Director of Software Engineering to lead the Databricks-based data lake and consumption platform on AWS. You will direct global engineering teams delivering data pipelines, APIs, and self-service analytics while aligning platform roadmaps with business priorities and governance requirements.

You will partner with business, product, technology, audit, and compliance to set investments, architectural choices, and delivery trade-offs.