Senior Director, Data Platform & AI Engineering

Aumni; Jersey City (NJ); On-site; USD 250,000 - 350,000; Full time

Job summary

JPMorganChase is seeking a Senior Director of Software Engineering within Corporate Technology to lead the Databricks‑based data lake and consumption platform on AWS. You will direct global engineering teams to deliver data pipelines, APIs, reporting products, and self‑service analytics, translating business priorities into a scalable platform roadmap.

You will set standards for governance, security, and release governance, drive AI‑enabled engineering workflows, and partner with stakeholders to

Qualifications

• 10+ years of software engineering experience with 5+ years in leadership of technologists.
• Proven ability to lead globally distributed engineering teams and hire develop talent.
• Deep technical or architectural expertise in Databricks on AWS with governance and security focus.

Responsibilities

• Own platform strategy, roadmap, and delivery across onboarding, access provisioning, and consumption capabilities.
• Lead and develop global teams delivering data pipelines, APIs, and self‑service analytics.
• Direct data onboarding using Unity Catalog, Delta Sharing, and Lakehouse Federation for governed access.
• Partner with senior stakeholders to prioritize investments and communicate architectural trade‑offs.
• Establish onboarding controls for data classification, metadata, lineage, and access.
• Own platform production readiness, resilience, and audit readiness; address control gaps.
• Define service-level objectives for data products and ensure reliability and performance.

Skills

Leadership and people management

Strategic platform architecture

Stakeholder communication

Cloud-native engineering

Team building

Tools

Databricks on AWS

Unity Catalog

Delta Sharing

Lakehouse Federation

Data pipelines

APIs and front-end data products

Job description

JPMorganChase is seeking a Senior Director of Software Engineering within Corporate Technology to lead the Databricks‑based data lake and consumption platform on AWS. You will direct global engineering teams to deliver data pipelines, APIs, reporting products, and self‑service analytics, translating business priorities into a scalable platform roadmap.

You will set standards for governance, security, and release governance, drive AI‑enabled engineering workflows, and partner with stakeholders to