Data Architecture Risk, Senior Vice President

• 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
• 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

• 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

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