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Data Risk Officer, Risk Appetite Planning, Metrics and Analysis

United States, Tampa Employment contract 130880.00 - 196320.00 USD / Year · Job Posted October 25, 2025
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Job Description

The Data Risk Officer role will serve as a subject matter expert on data risk appetite planning, metric reviews, and analysis, leading the review and challenge of firm-wide efforts to manage data risk and the monitoring of data risk reduction activities. This role will have a central role in the ingestion and synthesis of firm-wide 2LOD challenge activity on data risk into the Data Risk Appetite Assessment process.

Job Responsibility

  • Support the primary oversight of the firm's Data Risk Appetite, including assessment of factors of risk, assessing and monitoring path-to-green efforts, and managing metrics that measure risk and associated analysis
  • Work collaboratively with 1LOD teams to support the definition of clear path-to-green strategies and assist in driving the execution of agreed plans
  • Contribute to identifying and executing independent second-line risk assessments, in coordination with other ORM teams where needed
  • Participate in internal knowledge sharing initiatives related to Data Risk Appetite efforts
  • Help ensure that this multidisciplinary and cross-cutting risk area is well understood and that the implications of firm-wide remediation efforts are understood in terms of path-to-green efforts
  • Assist in the negotiation and remediation of identified risk and control concerns
  • Prepare materials for escalation of significant or unaddressed risk issues and control environment concerns to appropriate governance forums and Risk leadership
  • Support the primary interface to key stakeholders such as regulators, senior management, and the Board, as it relates to 2LOD assessment/point of view for the Risk Category
  • Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets

Requirements

  • 7-10 years of direct experience in a non-financial risk (data, technology, or reporting risk) or relevant 1LOD function within a financial services organization
  • Experience in assessing risk appetite for non-financial risks aligned with regulatory expectations
  • Proficient in risk assessment principles and supervisory expectations in terms of the quantity and quality of operational risk management
  • Demonstrable understanding of Data Management fundamentals, including Data architecture, Data principles, and a deep appreciation of intersectionality and interdependency with enterprise Technology and systems architecture
  • Strong technical problem-solving and analytical skills to include design and execution of risk and control assessments
  • Deep expertise with risk metrics, including prominent roles in design, delivery, sustainability of metric delivery and/or auditing/challenging metrics
  • Well-developed listening skills and a strong ability to communicate and engage effectively, both orally and in writing
  • Experience in working with internal relationships and partnering with a range of stakeholders (e.g., business, functions) to support change management efforts
  • Continuous improvement mind-set to solve for root causes, assess the impact of actions, and adjust as needed
  • Well-versed in executing risk management monitoring routines, tracking identification to resolution
  • Experience applying operational risk management frameworks in a global organization
  • Bachelor's degree in Computer Science, Data Science, Information Technology, Business, or a related field
  • Master's degree preferred

Nice to have

  • Master's degree preferred
  • Experience in working with internal relationships and partnering with a range of stakeholders to support change management efforts

What we offer

  • medical, dental & vision coverage
  • 401(k)
  • life, accident, and disability insurance
  • wellness programs
  • paid time off packages including vacation, sick leave, and paid holidays
  • discretionary and formulaic incentive and retention awards
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