Citigroup Inc.
Responsibilities
Provide strategic guidance, oversight, and direction for the execution of IA’s AI and GenAI tooling strategy, including tool evaluation and platform selection for IA assurance.
Design and implement high-impact AI/GenAI solutions for specific AI-enabled assurance tests, including prototyping and piloting of GenAI audit accelerators.
Design proof‑of‑concept and prototyping for high-impact AI and GenAI enabled assurance tests.
Partner with the AI Business Enablement team and key stakeholders in SIPP to ensure scalable and responsible AI adoption, in accordance with Citi’s AI governance frameworks.
Implement and track adoption metrics and user feedback to continuously improve the AI/GenAI solution and overall user experience.
Proactively diagnose and dismantle systemic impediments to onboarding and adoption, thereby maximizing time‑to‑value and enabling scalability.
Conduct horizon scanning and emerging risk research.
Act as technical specialists for assurance teams.
Support the broader teams’ AI assurance mandate.
Attract, develop, and retain talent; recommend staffing levels required to fulfill responsibilities effectively while establishing and adhering to talent‑management processes and compensation and performance‑management programs.
Work across IA to maximize the efficiency and effectiveness of resources.
Provide local site leadership encouraging engagement and collaboration across all IA organizations.
Support and endorse the Quality Assurance (QA) function of IA, resolving issues found by QA to improve audit processes and coverage.
Develop and maintain strong working relationships across other IA teams and regulators.
Build trust through proactive and transparent interactions while maintaining strong relationships with regulators aligned to Internal Audit.
Participate and share relevant knowledge and insight on an ongoing basis within and across IA teams to drive consistent application of the methodology, consistency of audit opinions, higher efficiency, and improved quality of overall assurance.
Qualifications
Extensive experience in a related role.
Experience in technology architecture, enterprise architecture.
Experience in AI/GenAI product management and technology system life‑cycle management.
In‑depth understanding of AI and machine learning concepts, algorithms and techniques, and AI/GenAI lifecycle.
In‑depth understanding of technical and system architecture, leading development of conceptual design and working with technical teams around solutioning.
Strong knowledge of IT governance and control frameworks (e.g., COBIT, NIST, Cybersecurity Framework).
Knowledge of MLOps principles and practices, including model deployment, monitoring, explainability, and lifecycle management.
Familiarity with leading cloud‑based AI/ML platforms and their associated governance, security, and deployment best practices.
Understanding of security vulnerabilities and risks specific to AI/ML systems, including adversarial attacks and data privacy considerations; familiarity with data governance principles, data quality management and data security practices.
Related certifications such as CISA, CIA, CRISC or similar. AI‑related certifications are a plus.
Executive presence and expertise in building and maintaining strong open relationships with executive stakeholders, working as a partner, exerting influence and providing credible challenge in a constructive manner.
Ability to quickly comprehend the full risk implications of complex global issues, elevate to the appropriate level, and provide advice and pragmatic commercial solutions.
Outstanding performer, open‑minded, resilient, agile, energetic, self‑starter, articulate and empathetic while being confident to deliver opinions to bring about positive outcomes.
Strong leadership skills and a track record of identifying and developing world‑class talent.
Experienced in leading large, dispersed and diverse professional teams.
Demonstrated success in business, functional and people management.
Consistently demonstrates clear and concise written and verbal communication.
Demonstrated ability to remain unbiased in a diverse working environment.
Effective negotiation skills.
Education
Bachelor’s degree/University degree in decision science, computer science, data science, finance, accounting or a related field, or equivalent experience.
Master’s degree preferred.
Compensation and Benefits Primary salary range: $170,000.00 – $300,000.00. In addition to salary, eligibility for discretionary and formulaic incentive and retention awards is possible. Competitive benefits include medical, dental & vision coverage; 401(k); life, accident and disability insurance; wellness programs; paid time off (vacation, sick leave, paid holidays). For more information, visit citibenefits.com (benefits may vary by jurisdiction, job level, and date of hire).
Equal Opportunity & Accessibility Citi is an equal‑opportunity employer, and qualified candidates will receive consideration without regard to 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.
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Provide strategic guidance, oversight, and direction for the execution of IA’s AI and GenAI tooling strategy, including tool evaluation and platform selection for IA assurance.
Design and implement high-impact AI/GenAI solutions for specific AI-enabled assurance tests, including prototyping and piloting of GenAI audit accelerators.
Design proof‑of‑concept and prototyping for high-impact AI and GenAI enabled assurance tests.
Partner with the AI Business Enablement team and key stakeholders in SIPP to ensure scalable and responsible AI adoption, in accordance with Citi’s AI governance frameworks.
Implement and track adoption metrics and user feedback to continuously improve the AI/GenAI solution and overall user experience.
Proactively diagnose and dismantle systemic impediments to onboarding and adoption, thereby maximizing time‑to‑value and enabling scalability.
Conduct horizon scanning and emerging risk research.
Act as technical specialists for assurance teams.
Support the broader teams’ AI assurance mandate.
Attract, develop, and retain talent; recommend staffing levels required to fulfill responsibilities effectively while establishing and adhering to talent‑management processes and compensation and performance‑management programs.
Work across IA to maximize the efficiency and effectiveness of resources.
Provide local site leadership encouraging engagement and collaboration across all IA organizations.
Support and endorse the Quality Assurance (QA) function of IA, resolving issues found by QA to improve audit processes and coverage.
Develop and maintain strong working relationships across other IA teams and regulators.
Build trust through proactive and transparent interactions while maintaining strong relationships with regulators aligned to Internal Audit.
Participate and share relevant knowledge and insight on an ongoing basis within and across IA teams to drive consistent application of the methodology, consistency of audit opinions, higher efficiency, and improved quality of overall assurance.
Qualifications
Extensive experience in a related role.
Experience in technology architecture, enterprise architecture.
Experience in AI/GenAI product management and technology system life‑cycle management.
In‑depth understanding of AI and machine learning concepts, algorithms and techniques, and AI/GenAI lifecycle.
In‑depth understanding of technical and system architecture, leading development of conceptual design and working with technical teams around solutioning.
Strong knowledge of IT governance and control frameworks (e.g., COBIT, NIST, Cybersecurity Framework).
Knowledge of MLOps principles and practices, including model deployment, monitoring, explainability, and lifecycle management.
Familiarity with leading cloud‑based AI/ML platforms and their associated governance, security, and deployment best practices.
Understanding of security vulnerabilities and risks specific to AI/ML systems, including adversarial attacks and data privacy considerations; familiarity with data governance principles, data quality management and data security practices.
Related certifications such as CISA, CIA, CRISC or similar. AI‑related certifications are a plus.
Executive presence and expertise in building and maintaining strong open relationships with executive stakeholders, working as a partner, exerting influence and providing credible challenge in a constructive manner.
Ability to quickly comprehend the full risk implications of complex global issues, elevate to the appropriate level, and provide advice and pragmatic commercial solutions.
Outstanding performer, open‑minded, resilient, agile, energetic, self‑starter, articulate and empathetic while being confident to deliver opinions to bring about positive outcomes.
Strong leadership skills and a track record of identifying and developing world‑class talent.
Experienced in leading large, dispersed and diverse professional teams.
Demonstrated success in business, functional and people management.
Consistently demonstrates clear and concise written and verbal communication.
Demonstrated ability to remain unbiased in a diverse working environment.
Effective negotiation skills.
Education
Bachelor’s degree/University degree in decision science, computer science, data science, finance, accounting or a related field, or equivalent experience.
Master’s degree preferred.
Compensation and Benefits Primary salary range: $170,000.00 – $300,000.00. In addition to salary, eligibility for discretionary and formulaic incentive and retention awards is possible. Competitive benefits include medical, dental & vision coverage; 401(k); life, accident and disability insurance; wellness programs; paid time off (vacation, sick leave, paid holidays). For more information, visit citibenefits.com (benefits may vary by jurisdiction, job level, and date of hire).
Equal Opportunity & Accessibility Citi is an equal‑opportunity employer, and qualified candidates will receive consideration without regard to 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.
#J-18808-Ljbffr