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The Artificial Intelligence In-Business Controls Sr Lead Analyst Senior Vice President is a strategic professional accountable for multiple activities within COO Controls with a focus on the Office of AI. This role is responsible for embedding robust risk management practices into Citi’s AI strategy, ensuring that models, tools, and AI‑enabled processes operate safely, ethically, and in compliance with regulatory and internal standards. Individuals in this role will cover a broad range of in-business/function Artificial Intelligence (AI) impacted risk and control responsibilities.

The ideal candidate has a strong background in Technology Risk, paired with a strong understanding of emerging risks in AI, digitization and automation. Excellent communication skills are required in order to negotiate internally, often at a senior level. Some external communication may be necessary. Accountable for the end results of various In-Business Controls programs.

Key Responsibilities

Risk Identification & Assessment

• Identify, assess, and document risks associated with AI initiatives across the Office of AI.

• Support the review of risk assessments for AI use cases, tools, and model deployments to ensure alignment with enterprise risk appetite and regulatory expectations.

• Partner with Office of AI to evaluate potential control gaps and ensure risks are surfaced early in the development lifecycle.

• Drive execution of the MCA in accordance with the ORM Policy & Framework, as well as applicable Policies, Standards, and Procedures.

Control Design & Implementation

• Support the operationalization of a robust control framework that addresses AI-specific risks.

• Ensure appropriate owned AI-related controls are mapped, tested, and validated.

• Support creation of standardized controls, procedures, and templates to be used for AI strategy.

In‑Business Controls (IBC) Execution

• Partner with business leaders to ensure existing IBC processes (MCA, Issue Management) effectively capture relevant AI‑related risks and controls.

• Support development of KRIs/KPIs for AI risk monitoring.

• Assist in Issue identification, remediation planning, and sustainable closure for AI-related control breaks.

• Responsible for the coordination and comprehensive management of issues with key stakeholders

• Drive issue quality reviews ensuring compliance with Issue

Governance & Compliance

• Work closely with Legal, Compliance, Model Risk Management, Data Governance, and Technology partners to ensure adherence to internal policies and external regulatory requirements related to AI.

• Engage with subject matter expertise on regulatory trends and emerging industry frameworks for responsible AI.

• Prepare materials for senior leadership, governance forums, audits, and regulatory reviews.

• Responsible for the assessment of activities and processes as per required Policies, Standards and Procedures to strengthen risk management quality.

Cross-Functional Collaboration

• Act as a bridge between AI Strategy, Technology, Operations, and Risk functions to ensure shared understanding of risks and sound execution practices.

• Advise on control implications of new AI capabilities and emerging technologies.

Qualifications

I. Core Experience & Background

• 10+ years of experience in operational risk management, compliance, audit, or other control-related functions in the financial services industry.
• 7+ years of experience specifically within Risk Management, In‑Business Controls (1LOD), Operational Risk, Compliance, or Technology Risk.
• Mandatory 1LOD Hands-on Experience: Proven track record of hands-on design, implementation, and assessment of risk frameworks and controls within a First Line of Defense (1LOD) function. Note: Pure high-level program management, coordination, or PMO-level oversight of remediation projects is insufficient.
• Cybersecurity & Tech Risk Integration: Solid foundational understanding of cybersecurity principles, tech risk mitigation strategies, and experience developing role-based risk training programs.

II. AI, Model, & Technical Risk Competencies

• Deep Technical Understanding of AI/ML Models: Robust knowledge of AI/ML concepts, model governance, and data risks. Candidates must be able to explain the inner workings of AI models and clearly distinguish between a true model and a simple prompt/preset.
• AI-Specific Risk Mitigation: Practical expertise in identifying, measuring, and managing emerging risks unique to Generative AI and Large Language Models (LLMs), specifically model drift, algorithmic bias, and LLM hallucinations.
• Familiarity with GenAI Tools & Platforms: Experience with or exposure to GenAI orchestration and productivity tools (e.g., Stylus, Control Companion, or industry-equivalent LLM-based enterprise applications), including transitioning proof-of-concept initiatives into fully operationalized, production-grade solutions.
• Working Knowledge of AI Frameworks: Strong working knowledge of emerging AI governance frameworks and regulations (e.g., Responsible AI guidelines, NIST AI RMF, and global AI regulatory trends).

III. Risk, Control, & KRI/KPI Execution

• Granular KRI/KPI Development: Proven ability to design and implement highly specific Key Risk Indicators (KRIs) and Key Performance Indicators (KPIs) for AI risk monitoring. Candidates must be able to articulate the exact technical mechanics of how a KRI measures risk (e.g., how it measures drift, what specific metrics are captured, and how escalation parameters are established).
• Control Design & MCA Execution: Expert knowledge in the development, execution, and mapping of standardized controls, procedures, and templates. Experience driving the execution of the Manager's Control Assessment (MCA) in accordance with enterprise Operational Risk Management (ORM) policies.
• Issue Management & Remediation: Track record of leading control-related projects, conducting risk assessments, and managing the end-to-end lifecycle of issue identification, remediation planning, and sustainable closure for AI-related control breaks.

IV. Communication, Leadership, & Prototyping

• Technical Translation & Executive Presentation: Exceptional ability to simplify complex AI/ML concepts and translate technical jargon into clear, business-relevant language for non-technical senior stakeholders and governance forums.
• Hands-on Prototyping & Data Visualization (Preferred): Experience developing functional dashboards or reporting tools (e.g., HTML-based dashboards, Tableau, or equivalent) to enhance Issue Management reporting, executive oversight, and data-driven decision-making.
• Thoughtful Challenge & Influence: Strong risk mindset with the ability to thoughtfully challenge business and technical teams, negotiate at a senior level, and influence cross-functional partners (Legal, Compliance, Model Risk Management, Data Governance, and Technology).
• Documentation & Detail Orientation: High attention to critical details, strong organizational skills, and exceptional documentation capabilities for preparing materials for audits and regulatory reviews.
• Software Command: Exceptional command of the Microsoft Office suite (Excel, PowerPoint, Word).

V. Education

• Required: Bachelor's/University degree in Business, Risk, Technology, Analytics, or a related field or relevant experience,.
• Highly Preferred: Master's or advanced degree (e.g., Master's in Data Science, or an MBA in Artificial Intelligence and Machine Learning with a focus on governance or risk management).

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Job Family Group:

Controls Governance & Oversight

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Job Family:

Cross-disciplinary Controls

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Time Type:

Full time

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Primary Location:

Jacksonville Florida United States

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Primary Location Full Time Salary Range:

$130,880.00 - $196,320.00

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.

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Most Relevant Skills

Analytical Thinking, Assessment, Business Acumen, Constructive Debate, Controls Lifecycle, Governance, Issue Management, Process Design, Risk Management Lifecycle, Stakeholder Management.

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Other Relevant Skills

Communication, Controls Assessment, Escalation Management, Risk Management.

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Anticipated Posting Close Date:

Aug 08, 2026

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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

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