Data Risk and Governance Analyst - AVP

Citigroup · Belfast, Northern Ireland ·

Last confirmed by our partners on 22 Oct 2026.

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Overview

In this role you enable enterprise data governance at Citi, translating policies into practical processes and monitoring risk controls. You will collaborate with business and technology partners to ensure consistent data risk management across the organization. You’ll support the rollout of governance standards, track metrics, and prepare materials for risk and controls forums. The opportunity sits in Belfast within a cross-functional data governance function, offering exposure to global risk frameworks and regulatory communication.

Pay / Benefits

  • hybrid work arrangement
  • structured learning and development opportunities
  • wellbeing programs
  • financial wellness programs

Responsibilities

  • Oversee and analyze data-related issues, track ownership, deadlines, and metrics/reporting
  • Contribute to In Business Risk and Controls meeting materials with IT and business risk teams
  • Serve as point of contact on data risk topics with second/third line of defense and regional CDO teams
  • Provide regional expertise on the data control framework, including design, monitoring, and self-assessment
  • Support enterprise data governance strategy rollout, including data risk taxonomy and KPI changes
  • Ensure timely preparation of metrics for stakeholders and regulator forums on progress and corrective actions
  • Recommend enhancements to enterprise-wide data governance policies, standards, and procedures

Key requirements

  • 5 to 8 years of relevant experience in data governance or data management
  • Strong project management skills to coordinate across stakeholders
  • Ability to manage competing priorities and meet tight deadlines
  • Clear and confident communication with colleagues at varying levels
  • Proficient in Microsoft Word, Excel, and PowerPoint
  • Bachelors degree or equivalent professional experience
  • Clear communication
  • Stakeholder coordination
  • Prioritization and adaptability
  • Data Governance
  • Data Management
  • Data Quality
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