Data Services Platform Lead: AI-Driven Delivery

Citi

New York (NY)

On-site

USD 42,000 - 73,000

Full time

8 days ago

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Job summary

Citi is seeking an SVP – Engineering & Delivery Lead (Data Services) to own end-to-end technical delivery, architecture alignment, and platform modernization across global data services. You will lead distributed teams, drive AI-first tooling adoption, and ensure secure and scalable data pipelines and APIs.

The role emphasizes regulatory-driven programs, architecture governance, and high-performance microservices, with direct line management responsibilities and a focus on talent development.

Qualifications

  • Must-have hands-on Java and enterprise Java frameworks (Spring Boot, Spring)
  • Proven experience with relational databases (Oracle, SQL Server) and NoSQL (MongoDB)
  • Experience using generative AI tools to accelerate software delivery
  • Designing secure, high-performance REST/gRPC APIs and data access patterns
  • Strong CI/CD, Linux, Docker/Kubernetes and automation tooling

Responsibilities

  • Lead distributed software and data engineering teams across pods with performance reviews.
  • Drive AI-first software delivery and tooling adoption to speed delivery and testing.
  • Ensure architectural alignment with enterprise roadmaps and security by design.
  • Deliver data services, real-time pipelines, and platform integrations end-to-end.
  • Establish CI/CD pipelines and modern DevOps practices across multi-location teams.

Skills

Java
Spring Boot
Kafka
CI/CD
Docker
Kubernetes
GitHub Copilot
AI-First
REST API
Security

Education

Bachelor’s or Master’s degree in Computer Science/Information Systems or related field

Tools

Oracle
SQL Server
MongoDB
Jira
Confluence
OpenShift

Job description

Citi is seeking an SVP – Engineering & Delivery Lead (Data Services) to own end-to-end technical delivery, architecture alignment, and platform modernization across global data services. You will lead distributed teams, drive AI-first tooling adoption, and ensure secure and scalable data pipelines and APIs.

The role emphasizes regulatory-driven programs, architecture governance, and high-performance microservices, with direct line management responsibilities and a focus on talent development.

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