Vice President, AI Operations

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In this role, you’re expected to: ​

The Central AI Operations Vice President will play a critical leadership role in overseeing and delivering the Investor Operations AI book of work, ensuring effective coordination, governance, and scaling of AI initiatives across the organization. This role acts as the central authority across Investor Operations AI activity—aligning use cases, driving consistency in delivery, and enabling reuse of AI capabilities at scale. The individual will guide how AI solutions are designed and implemented, while ensuring alignment with enterprise platforms, standards, and regulatory expectations.

A key expectation is strong technical fluency in AI tools, models, and architectures, enabling credible challenge and effective partnership with engineering and data science teams.

Key Responsibilities:

AI Book of Work Delivery

• Own and manage the end-to-end Investor Operations AI book of work

• Drive prioritisation, execution, and measurable value delivery

• Identify overlapping use cases and enforce consolidation and reuse

• Track delivery progress, outcomes, and adoption

AI Solution Oversight

• Provide direction and challenge on AI solution design, model selection, and implementation approaches

• Guide the use of AI techniques (ML, NLP, LLMs, IDP) against business problems

• Partner with engineering and data science teams to ensure practical, scalable solutions

Cross-Team Alignment & Enablement

• Act as central coordinator across Investor Operations AI initiatives

• Connect teams with similar use cases to maximise reuse of models and components

• Drive adoption of enterprise AI tools and platforms (IDP, AI, Enterprise capabilities)

• Promote standardised approaches and best practices

Model Risk Management & Governance

• Lead MRM submissions and engagement at Investor Operations level

• Ensure all AI solutions meet governance, validation, and regulatory requirements

• Embed strong controls across model lifecycle (development to monitoring)

Transformation & Scaling

• Identify opportunities to improve operational processes through AI

• Support rollout across teams, functions, and regions

As a successful candidate, you’d ideally have the following skills and exposure: ​

AI & Technical Expertise (Essential)

• Strong practical understanding of:

  • Machine learning (classification, regression, clustering)

  • NLP and Large Language Models (LLMs)

  • Intelligent Document Processing (IDP)

• Solid knowledge of how AI solutions are built and deployed:

  • Data pipelines, feature engineering, model training

  • Model evaluation (accuracy, precision/recall, drift)

  • Deployment patterns (APIs, batch vs real-time)

• Experience with:

  • Python-based ecosystems

  • LLM architectures (prompting, RAG)

  • Enterprise or cloud AI platforms

• Ability to credibly engage with and challenge engineers and data scientists

• Bachelor's/University degree or equivalent experience.

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

​Working at Citi is far more than just a job. A career with us means joining a family of more than 230,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.

Take the next step in your career, apply for this role at Citi today!

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Job Family Group:

Operations - Core

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Job Family:

Operations Project Management

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Time Type:

Full time

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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