AI Transformation Group Manager

Citi

Remote

Quick summary

Work type
Remote
Location
Jersey City, NJ
Salary
$176,720–$265,080 / yr
Posted
2 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $214k
This role $221k
$163k most similar roles pay here $276k

This role pays more than 58% of similar roles. Most pay $181,820–$246,150 — the shaded band above. At the midpoint, this role pays about $221k versus about $214k for comparable roles.

Based on 240 similar postings.

Employer

About Citi

Citi is one of the world’s most trusted financial institutions, proudly serving millions of customers across the United States.

Citi currently has 332 open roles on FindRole.

Listed pay typically runs $125,760–$188,640 across 311 roles with salary data.

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View all roles at Citi

At a glance

TL;DR · AI Transformation Group Manager

The AI Transformation Group Manager at Citi's Institutional Client Group is a senior leadership role overseeing the modernization of Master and Reference Data capabilities with an AI-first approach. This position involves leading a team of approximately 70 engineers to re-architect software development processes, integrate advanced AI technologies like large language models and agentic workflows, and ensure high-quality data outputs critical for trading, risk management, and client services. Key responsibilities include setting the strategic roadmap, embedding AI across all stages of software delivery, and driving organizational change to enhance efficiency and resilience. The role requires expertise in Scala, Python, and other relevant languages, along with a deep understanding of financial data domains and scalable data engineering practices. Ideal candidates have extensive experience leading large-scale technology transformations in complex environments, a strong background in applied AI for software development, and the ability to communicate technical strategies effectively to non-technical stakeholders.

What you'll do

  • Set and own the AI transformation strategy for Master and Reference Data.
  • Embed AI into daily engineering workflows to accelerate software delivery.
  • Design and build scalable data platforms using Scala and other languages.
  • Apply AI to enhance entity matching, anomaly detection, and data stewardship.
  • Champion AI fluency by establishing standards and best practices internally.

What we're looking for

  • Over 10 years of experience leading software engineering organizations and delivering complex platforms at scale.
  • Proven track record in AI-first transformation of engineering teams with measurable gains in velocity, quality, and cost.
  • Strong command of applied AI technologies including LLMs, retrieval-augmented generation, embeddings, vector search, and prompt engineering.
  • Deep data engineering expertise in master/reference data domains with hands-on experience in Scala-based stacks (Scala, Spark).
  • Experience designing, operating, and scaling distributed data platforms with reliability, scalability, security, and observability.
  • Proven ability to run an effective engineering development pipeline with high code standards, rigorous testing, CI/CD, and operational excellence.

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