Issue Management - Technology and GenAI VP

Citi • Tampa, FL

2d

About The Position

Assist in the coordination and comprehensive management of issues with key stakeholders Support issue quality reviews ensuring compliance with Issue Management Policy, Standards and Procedures Facilitate Business / Function Quality Control engagement across the full lifecycle of high impact issue remediations and key remediation programs Maintain a robust tracking and reporting issue inventory including issue quality metrics to provide visibility on the status of control gaps and Issues quality control processes highlighting risk and escalating concerns in timely manner Provide challenge enabling the key stakeholders to implement sustainable solutions to address root causes Utilize analytics to assess issue remediation trends, identify key risks, and develop insights for process improvement Support key stakeholders to develop corrective action plans to address identified control gaps or failures Incorporate lessons learned guidance into the development of corrective action plans, promoting continuous improvement and timely closure of issues Ensure compliance with all relevant regulatory requirements and internal policies Partner with internal audit, business units, and senior management, communicating effectively to drive issue resolution, influence decision-making, and promote a culture of risk awareness Provide guidance to project teams on required documentation, checkpoints, and evidence needed to progress through the AI development and deployment lifecycle. Support lifecycle activities including model onboarding, updates, annual reviews, and monitoring. Provide business partners with guidance on AI governance best practices, model risk considerations, and documentation requirements.

Requirements

• Minimum of 6-10 years of experience in operational risk management, compliance, audit, or other control-related functions in the financial services industry.
• Ability to identify, measure, and manage key risks and controls.
• Strong knowledge in the development and execution for controls.
• Proven experience in control related functions in the financial industry.
• Proven experience in implementing sustainable solutions and improving processes.
• Understanding of compliance laws, rules, regulations, and best practices.
• Strong analytical skills to evaluate complex risk and control activities and processes.
• Strong verbal and written communication skills, with a demonstrated ability to engage at the senior management level.
• Strong problem-solving and decision-making skills
• Ability to manage multiple tasks and priorities.
• Proficiency in Microsoft Office suite, particularly Excel, PowerPoint, and Word.
• Strong exposure to model governance, model documentation, model validation, or quantitative risk concepts (AI/ML preferred).
• Familiarity with large language models, generative AI workflow components, and how these differ from traditional statistical/ML models.
• Ability to interpret technical model details and translate them into business‑friendly documentation.
• Experience working with cross‑functional stakeholders across tech, business, and risk groups and navigating complex environments.
• Analytical Thinking, Communication, Constructive Debate, Controls Lifecycle, Issue Management, Management Reporting, Policy and Procedure, Risk Management, Root Cause Analysis.

Responsibilities

• Assist in the coordination and comprehensive management of issues with key stakeholders
• Support issue quality reviews ensuring compliance with Issue Management Policy, Standards and Procedures
• Facilitate Business / Function Quality Control engagement across the full lifecycle of high impact issue remediations and key remediation programs
• Maintain a robust tracking and reporting issue inventory including issue quality metrics to provide visibility on the status of control gaps and Issues quality control processes highlighting risk and escalating concerns in timely manner
• Provide challenge enabling the key stakeholders to implement sustainable solutions to address root causes
• Utilize analytics to assess issue remediation trends, identify key risks, and develop insights for process improvement
• Support key stakeholders to develop corrective action plans to address identified control gaps or failures
• Incorporate lessons learned guidance into the development of corrective action plans, promoting continuous improvement and timely closure of issues
• Ensure compliance with all relevant regulatory requirements and internal policies
• Partner with internal audit, business units, and senior management, communicating effectively to drive issue resolution, influence decision-making, and promote a culture of risk awareness
• Provide guidance to project teams on required documentation, checkpoints, and evidence needed to progress through the AI development and deployment lifecycle.
• Support lifecycle activities including model onboarding, updates, annual reviews, and monitoring.
• Provide business partners with guidance on AI governance best practices, model risk considerations, and documentation requirements.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees