About the Team:The
Data Governance and Controls Lead is a strategic professional at the heart of Citi's enterprise-wide data integrity mission. This role sits at the intersection of risk, policy, and data - shaping the frameworks that govern how one of the world's most complex financial institutions identifies, measures, and manages data as a critical asset. We are looking for a dynamic and intellectually rigorous professional who thrives in ambiguity, brings clarity to complexity, and possesses the rare combination of analytical depth and cross-functional influence. This is not a back-office function - it is a front-line contributor to Citi's regulatory standing, operational resilience, and long-term data strategy.
The successful candidate will operate as a trusted partner across business lines, global functions, and risk and control teams - collaborating to implement data governance policies, driving adoption of enterprise standards, and ensuring that data-related issues are identified, tracked, and resolved with rigor and accountability. They will synthesize industry best practices into actionable recommendations, develop guiding principles that span the enterprise, and help build the measurement frameworks that determine whether governance is working in practice - not just on paper. Their work will directly influence Citi's Data Risk Taxonomy, Key Risk Indicators, and the controls framework that underpins regulatory and audit readiness across the globe.
Responsibilities:- Partner with multiple teams to implement relevant Data Governance policies and/or Data Risk and Control framework
- Provide expertise on Data Governance and/or Data Risk and Controls framework including design, effectiveness, performance monitoring and self-assessment processes
- Oversight and analysis of data-related issues, tracking of ownership and target dates and associated metrics and reporting
- Support and coordinate with business lines and global functions on enterprise Data Governance strategy roll out, including new Data risk taxonomy and associated changes to key risk indicators and control framework
- Assist in defining and embedding data governance and risk controls tailored to Artificial Intelligence (AI) and Machine Learning (ML) data usage, including training data lineage, model data inputs, and AI data quality validation
- Gather and synthesize metrics on existing Data Governance and/or Data Risk and Controls principles, policies, practices and standards, e.g., understanding industry best practices
- Produce recommendations for enterprise-wide guiding principles, policies, processes and practices
- Determine requirements for and prioritize development of new enterprise-wide principles, policies, processes and practices as needed
- Develop and manage approach for measuring adoption of principles, policies, processes and practices
Qualifications:- 6+ years of relevant experience in Data Governance, Data Management, Risk and Controls, Compliance, or Process Engineering, with demonstrated ability to contribute to enterprise-wide policy and control frameworks
- Practical understanding of Risk Appetite concepts, including experience tracking risk indicators against defined appetite thresholds and escalation triggers
- Experience with metrics design and metric calculations, including establishing calculation logic, data quality measures, and Key Risk Indicators (KRIs) / Key Performance Indicators (KPIs)
- Familiarity with AI controls and governance concepts, such as data integrity, validation, and control practices for data supporting AI/ML use cases
- Solid understanding of risk and control concepts as applied to data management, including familiarity with regulatory expectations and audit readiness in a financial services or regulated environment
- Solid understanding of Project Management methodologies and tools, with experience coordinating multi-stakeholder initiatives and tracking governance deliverables
- Ability to gather, analyze, and translate complex governance metrics into clear, structured reports, dashboards, and presentations for various stakeholders
- Strong written and verbal communication skills, with the ability to convey technical and governance concepts clearly across business, risk, and technology teams
- Experience facilitating cross-functional working groups or governance forums, with a proven ability to collaborate and build alignment across diverse teams
Education:Bachelor's/University degree, Master's degree preferred
Job Family Group: Data Governance
Job Family:Data Governance Foundation
Time Type:Full time
Primary Location:Jacksonville Florida United States
Primary Location Full Time Salary Range:$113,840.00 - $170,760.00
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 Data Governance, Data Management, Data Quality, Internal Controls, Management Reporting, Policy, Procedure, and Regulation, Program Management, Risk Controls and Monitors.
Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.
Anticipated Posting Close Date:Nov 18, 2026
Automated Processing and AIWe 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.
