Data Architecture Risk, Senior Vice President at Citi

Tampa, Florida, United States -

Full Time

Start Date

Immediate

Expiry Date

13 Apr, 26

Salary

0.0

Posted On

13 Jan, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Risk Management, Non-Financial Risk Management, Data Governance, Data Architecture, Operational Risk, Technical Problem-Solving, Stakeholder Management, Continuous Improvement, Data Fundamentals, Data Modeling, Cloud Capabilities, Master Data Management, Regulatory Compliance, Risk Identification, Issue Management, Governance

Industry

Financial Services

Description

Control objectives and standards: Ensure Enterprise Control Standard and controls design requirements are clearly articulated and implemented consistently across Business and Function coverage teams Strategic decision making: Execute and contribute to continuously improving Data Risk Management practices, insights and tools which are consistently embedded in day-to-day business processes and strategic decision-making of Business and Function coverage teams to enable proactive issue identification and comprehensive remediation. Transformation: In addition to overseeing the compliance against ORM frameworks, Data Risk Management has the added complexity of overseeing the effective execution of the Enterprise Data transformation. This transformation cuts across the enterprise and is multi-disciplinary in nature Mentor and advise on the Data Risk concepts and skills to all three lines of defense as part of ongoing execution of the operating model. Negotiate and remediate resulting risk and control concerns identified. Escalate significant or unaddressed risk issues and control environment concerns to appropriate channels. Contribute to ongoing business-as-usual activities associated to maintenance of policies, standards, and procedures as assigned. Experience in risk management, including a successful track record of executing risk management challenges at a large financial services organization. Subject matter expertise in Non-Financial Risk Management with a proven risk and control track record in technology, data, and/or reporting risk. 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 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. 10+ 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. Deep knowledge of data modeling, data governance, and data architecture approaches, reference sources, operational risks and execution. Experience working with Master and Reference Data Management in financial services. 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. Experience in overseeing complex initiatives related to global data programs in a large-scale, distributed organization. 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. 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 or Master's degree in Computer Science, Data Science, Information Technology, Business, or a related field are preferred. Certifications preferred: Certified Data Management Professional via DAMA International, Certified Data Professional via ICCP, Certified Business Intelligence Professional via The Data Warehousing Institute. Analytical Thinking, Control Monitoring, Credible Challenge, Governance, Issue Management, Operational Risk, Policy and Procedure, Policy and Regulation, Risk Controls and Monitors, Risk Identification and Assessment. ------------------------------------------------------ For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Anticipated Posting Close Date: Jan 20, 2026 ------------------------------------------------------

Responsibilities

The role involves ensuring compliance with Enterprise Control Standards and overseeing the execution of Data Risk Management practices. Additionally, it includes mentoring teams on Data Risk concepts and addressing risk and control concerns.