Data Architecture Risk Manager, Senior Vice President at Citi

Budapest, Central Hungary, Hungary -

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 Architecture, Risk Management, Data Governance, Data Modelling, Operational Risk, Technical Problem-Solving, Communication, Continuous Improvement, Stakeholder Management, Data Principles, Change Management, Issue Management, Control Monitoring, Credible Challenge, Data Fundamentals, Data Transformation

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. Solid Data Architecture experience is essential. Proven experience with full cycle Risk Management challenges in a global risk organization required. Deep knowledge of data modelling, data governance, and data architecture approaches, master and reference data, operational data risks and execution. Deep knowledge of financial and risk data, along with an understanding of regulatory, compliance, risk management, and financial management concerns Demonstrable understanding of Data fundamentals, including Data architecture, Data principles, and a deep appreciation of intersectionality and interdependency with enterprise Technology and systems architecture. Experience in overseeing complex initiatives related to global data programs in a large-scale, distributed organization. Strong track record in leading teams to deliver technical risk and control assessments and negotiate outcomes at scale. 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. Then apply to discover the true extent of your capabilities. LI-TM3 ------------------------------------------------------ Job Family Group: Risk Management ------------------------------------------------------ Job Family: Operational Risk ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ 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. ------------------------------------------------------ Automated Processing and AI We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details. ------------------------------------------------------ This job opening is for an existing job vacancy. ------------------------------------------------------

Responsibilities

The role involves ensuring the implementation of Enterprise Control Standards and improving Data Risk Management practices. Additionally, it includes overseeing compliance with ORM frameworks and mentoring teams on Data Risk concepts.