Ensure Enterprise Control Standard and controls design requirements are clearly articulated and implemented consistently across Business and Function coverage teams
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
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

Requirements

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

Benefits

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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

data modelingdata governancedata architectureMaster Data ManagementReference Data Managementoperational risk management frameworksdata platformscloud capabilitiestechnical risk assessmentsdata principles

Soft skills

mentoringnegotiationissue identificationremediationteam leadershipcommunicationproblem-solvingstrategic decision-makingadvisingescalation

Certifications

Certified Data Management ProfessionalCertified Data ProfessionalCertified Business Intelligence Professional