Job description

The Technical Program Manager (TPM) – Applied AI & Agents is a senior-level strategic professional responsible for managing the end-to-end lifecycle of complex, cross-functional Applied AI and agentic engineering initiatives across Citi. The overall objective of this role is to drive central program coordination, LOB engagement management, intake qualification, delivery milestone tracking, and 2LOD risk/governance alignment across all factory operations, maintaining close operational ties with Group-Wide AI PMO, Model Risk Management (MRM), and CISO Threat Operations. Responsibilities: Drives central program execution and governance across all Applied AI Factory delivery streams, aligning technical dependencies between engineering pods, enterprise infrastructure teams, and business units. Leads LOB engagement management, scoping sessions, intake qualification, and SLA tracking for AI agent project requests across Markets, Services, Banking, PBWM, and Risk/Operations. Establishes and oversees program-level dashboards tracking delivery velocity, stage-gate approvals, token consumption economics (via R2D2 Gateway), inference cost efficiency, and realized business ROI. Facilitates fast-track governance operations, including Model Risk Management (MRM) reviews, PTS onboarding, and risk tiering for active agent deployments. Coordinates cross-pod technical alignment with 2LOD control partners (MRM, CISO, ICRM) to ensure transparent risk management throughout the agent lifecycle. Applies Agile/Scrum best practices to AI delivery, managing sprint velocity, dependency roadmaps, and blocker resolution across multiple concurrent agent squads. Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm s reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Qualifications: 10 years of relevant experience in technical program management, with significant experience managing complex, high-visibility enterprise technology initiatives. Strong technical literacy in AI/ML delivery lifecycles, generative AI prompt/eval workflows, agentic architectures, and distributed cloud/on-prem deployment patterns. Experience in defining program scorecards, tracking computational/token economics, and establishing data-driven mechanisms for delivery visibility. Proven ability to navigate matrixed global organizations and partner effectively with Managing Directors, CIOs, and 2LOD control functions. Excellent written and oral communication skills, with demonstrated capability to articulate complex technical progress and risks to executive leadership. Education: Bachelor’s/University degree or equivalent experience Master’s degree preferred. ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Digital Technical Program Management ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Primary Location: New York New York United States ------------------------------------------------------ Primary Location Full Time Salary Range: $192,000.00 - $288,000.00 In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire. ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Anticipated Posting Close Date: Nov 30, 2026 ------------------------------------------------------ Automated Processing and AI We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate s skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi. Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details. Illinois residents – AI Notice and Right ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi . View Citi’s EEO Policy Statement and the Know Your Rights poster.

Requirements

Must-haves

Drives central program execution and governance across all Applied AI Factory delivery streams, aligning technical dependencies between engineering pods, enterprise infrastructure teams, and business units.
Leads LOB engagement management, scoping sessions, intake qualification, and SLA tracking for AI agent project requests across Markets, Services, Banking, PBWM, and Risk/Operations.
Establishes and oversees program-level dashboards tracking delivery velocity, stage-gate approvals, token consumption economics (via R2D2 Gateway), inference cost efficiency, and realized business ROI.
Facilitates fast-track governance operations, including Model Risk Management (MRM) reviews, PTS onboarding, and risk tiering for active agent deployments.
Coordinates cross-pod technical alignment with 2LOD control partners (MRM, CISO, ICRM) to ensure transparent risk management throughout the agent lifecycle.
Applies Agile/Scrum best practices to AI delivery, managing sprint velocity, dependency roadmaps, and blocker resolution across multiple concurrent agent squads.
10 years of relevant experience in technical program management, with significant experience managing complex, high-visibility enterprise technology initiatives.
Strong technical literacy in AI/ML delivery lifecycles, generative AI prompt/eval workflows, agentic architectures, and distributed cloud/on-prem deployment patterns.
Experience in defining program scorecards, tracking computational/token economics, and establishing data-driven mechanisms for delivery visibility.
Proven ability to navigate matrixed global organizations and partner effectively with Managing Directors, CIOs, and 2LOD control functions.
Excellent written and oral communication skills, with demonstrated capability to articulate complex technical progress and risks to executive leadership.
Bachelor’s/University degree or equivalent experience
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Job Family Group: Technology ------------------------------------------------------
Job Family: Digital Technical Program Management ------------------------------------------------------
Time Type: Full time ------------------------------------------------------
Primary Location: New York New York United States ------------------------------------------------------
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Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------
Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------
Anticipated Posting Close Date: Nov 30, 2026 ------------------------------------------------------
Automated Processing and AI
Illinois residents – AI Notice and Right

Nice-to-haves

Master’s degree preferred.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aiagilescrummlaccessibility

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off

Wellness