Senior Director of Data Engineering, Data and AI

JPMorgan Chase

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Palo Alto, CA
Posted
8 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $198k
$138k most similar roles pay here $258k

This listing doesn't post a salary. Most similar roles pay $149,381–$246,150.

Based on 240 similar postings.

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About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 1117 open roles on FindRole.

Listed pay typically runs $186,160–$215,000 across 7 roles with salary data.

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At a glance

TL;DR · Senior Director of Data Engineering, Data and AI

As a Senior Director of Data Engineering - Data and AI within the Commercial and Investment Bank Operations, you will lead multiple departments to manage complex data management systems across various financial services sub-domains. You will provide high-level direction to cross-functional teams, influence senior stakeholders, and drive consensus on large projects while ensuring system design and operational stability. A primary focus involves establishing governance standards for AI-assisted workflows, promoting reuse-first expectations for enterprise-authorized AI adoption, and managing data sensitivity with human-in-the-loop validation. You will utilize the modern data stack, including SQL and at least one general-purpose language, to manage complex data models, catalogs, ontology, and taxonomy frameworks. Your role addresses critical challenges in data movement, quality management, storage formats, and automated audit observability within a highly matrixed organizational structure.

What you'll do

  • Set the strategic direction for data management across various financial services sub-domains.
  • Provide high-level leadership and oversight to large teams across multiple platforms and business lines.
  • Drive the adoption of enterprise-authorized AI tools within data engineering workflows to accelerate delivery.
  • Act as the primary interface with senior executives to drive consensus on complex, cross-product projects.
  • Establish cross-team governance standards for AI-assisted workflows to ensure traceability and security.
  • Define review, approval, and escalation protocols for AI-assisted recommendations in data engineering.
  • Manage large-scale, critical distributed data management systems and infrastructure.
  • Hire, develop, and recognize talent across the technical organization.

What we're looking for

  • Bachelor's or master's degree in computer science, engineering, or a related field.
  • 10+ years of experience managing large-scale, critical, and complex distributed data management systems.
  • Experience leading cross-functional teams of technologists within highly matrixed, complex organizations.
  • Demonstrated experience leading the safe adoption of enterprise-authorized AI capabilities in data engineering environments.
  • Ability to establish governance standards for AI-assisted workflows ensuring traceability, auditability, and security.
  • Experience leading complex projects involving system design, testing, and operational stability.
  • Proven ability to hire, develop, and recognize talent.
  • Proficiency with the modern data stack including SQL and at least one general-purpose language.

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