Operational Risk Head of Data Risk Center of Excellence - C16 - TAMPA
$250kCiti Group
Operational Risk Management (ORM) is an enterprise-level independent risk management function responsible for enterprise-wide oversight and aggregation of operational risk. Its mandate covers all business lines (US Personal Banking, Global Wealth Management, Markets, Services, Banking, Global Functions & EO&T) spanning all geographies. The ORM function oversees the design and implementation of the non-financial risk management framework. Key objectives of the risk management framework for Data Risk are:
- Operating model, staffing, and culture
- Operational risk appetite
- Control objectives and standards
- Operational risk and control assessments and reporting
- Strategic decision-making
- The effective execution of Citi's Enterprise Data transformation.
- Ensure the Data Risk concepts and skills are transferred to the ORM coverage teams as part of the SWAT team embedding.
- Lead a program management/coordination function, ensuring that coordination efforts needed in the hub-and-spoke approach are delivered (e.g., group-wide work intake & planning, execution monitoring).
- Negotiate and remediate resulting risk and control concerns identified.
- Operate a shared services function delivering data risk SME framework activities, supporting business/function risk management functions firm-wide.
- Escalate significant or unaddressed risk issues and control environment concerns to appropriate governance forums and Risk leadership.
- As needed, serve as 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.
- Broad experience in risk management, including a successful track record of managing large, complex, enterprise-wide risk management programs at a large financial services organization.
- Demonstrated success in leading by influence in complex organizations.
- Strong leadership skills with a proven track record of working with a diverse range of skill sets and perspectives, recognizing that the power of Citi is the sum of its parts.
- Deep subject matter expertise in Non-Financial Risk Management with a proven risk and control track record in technology, data, and/or reporting risk.
- Business understanding of the products and services Citi offers and how risk management practices contribute to other work across Citi; understand downstream impacts of decisions made.
- Track record of managing internal relationships and partnering with a range of stakeholders (e.g., business, functions) in leading sustained change and change management efforts.
- Strong technical problem-solving skills and an ability to identify conflicts, discrepancies, and other issues, and bring together the right team to solve them.
- Well-developed listening skills and a strong ability to communicate and engage at the senior management level, both orally and in writing.
- Ability to constructively challenge others at all levels and across boundaries to deliver better results.
- Continuous improvement mind-set to solve for root causes, assess the impact of actions and adjust as needed; simplify and standardize at every opportunity.
- Regulatory engagement experience.
- 20+ years of direct experience as a senior Non-Financial Risk professional (e.g. data, technology, or reporting risk) or relevant 1LOD role in a large financial services organization.
- Extensive experience in overseeing highly visible, complex initiatives related to global data programs in a large-scale, distributed organization.
- Extensive experience applying operational risk management frameworks in a global organization.
- Strong track record in leading teams to deliver technical risk and control assessments and negotiate outcomes at scale.
- Demonstrable understanding of Data fundamentals, including Data architecture, Data principles, and a deep appreciation of intersectionality and interdependency with enterprise Technology and systems architecture.
- Strong working knowledge of scalable data platforms and cloud capabilities that are secure, resilient, and compliant with relevant regulations.
- Deep knowledge of financial and risk data, along with an understanding of regulatory, compliance, risk management, and financial management concerns.
- Subject matter expertise in operational risk management as applied to Data risk.
- Bachelor's degree in Computer Science, Data Science, Information Technology, Business, or a related field are preferred.
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