Citi
Financial
DataGovernanceFoundationLeadAnalyst
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Governance Foundation Lead Analyst at Citi. Skills: Data Governance, Data Management, Risk Management. Contribute to directional strategy. Assist in creation of Enterprise Data Governance Strategy”
What You'll Achieve.
Strengthen data management capabilities; Enhance integrity, accessibility, and strategic use of financial data; Support day-to-day Finance operations; Support long-term enterprise objectives; Build robust data structures; Improve data quality; Ensure full compliance with regulatory expectations; Drive consistency; Resolve data issues; Embed sustainable data management practices; Support risk reduction; Support regulatory compliance; Support operational simplification; Lay groundwork for future analytical capabilities; Lay groundwork for automation; Lay groundwork for enhanced decision-making; Ensure financial data is trusted; Ensure financial data is well-governed; Position financial data to support firm's strategy
Industry & Context.
Problem solving; Analysis
What They're Looking For.
Must Have
6-10 years relevant experience, Bachelor's/University degree, basic commercial awareness, Ability to monitor tight deadlines, Ability to communicate effectively
Nice to Have
Master's degree preferred, Advanced understanding of Project Management methodologies and tools
What You'll Do.
Contribute to directional strategy
Assist in creation of Enterprise Data Governance Strategy
Assist in creation of Data Risk and Control Framework
Assist in creation of Data Risk Taxonomy
and report data issues
Monitor data policy adoption and compliance
Manage data controls framework performance
Track data issue resolution
Respond to regulatory and audit requests
Partner to implement Data Governance policies
Provide expertise on Data Governance framework
Oversight and analysis of data-related issues
Track data ownership and target dates
Coordinate with business lines on strategy roll out
Gather and synthesize metrics on Data Governance principles
Produce recommendations for guiding principles
Determine requirements for new principles
Develop approach for measuring adoption
How You'll Work.
Team & Collaboration
Collaborate with partners across Finance, Risk, Operations & Technology; Work with data owners, process leads, technology developers, and control functions; Partner with multiple teams to implement policies
Communication Scope
Communication; Diplomacy; Multi-mode communications
Process & Methodology
Project Management methodologies, Program Management
Full Job Description
Are you looking for a career move that will put you at the heart of a global financial institution? Then bring your skills in analysis, problem solving and communication to Citi’s Finance Data team representing Wholesale Lending.__ The Data Governance Foundation Lead Analyst is responsible for contributing to the directional strategy and assisting in creation and modification of Enterprise Data Governance Strategy, and/or Data Risk and Control Framework and Data Risk Taxonomy. The focus of this role may be on one or more of the following areas: assisting in identification, measurement and reporting, data policy adoption and compliance, data controls framework performance and issue management process, and regulatory and audit response and action tracking. **Team/Role Overview** Our team plays a central role in strengthening Citi’s data management capabilities within the Finance division, with a mandate that is deeply aligned to the firm’s broader risk, regulatory, and transformation agenda. As Citi continues to enhance the integrity, accessibility, and strategic use of financial data across the organization, our team operates as a key enabler—designing and implementing the data foundations that support both day‑to‑day Finance operations and long‑term enterprise objectives. This is an established but rapidly evolving team, shaped by Citi’s multi‑year commitment to building more robust data structures, improving data quality, and ensuring full compliance with regulatory expectations. The team collaborates closely with partners across Finance, Risk, Operations & Technology, and various transformation and regulatory programs. On a daily basis, we work with data owners, process leads, technology developers, and control functions to drive consistency, resolve data issues, and embed sustainable data management practices across the organization. What makes our team especially compelling is its unique blend of strategic impact and operational influence. The work we do directl
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