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The Data Governance Foundation Sr Lead Analyst is responsible for leading proactive engagements with Issue Owners (e.g., Regulatory Business Critical Milestones, Regulatory Commitments, Self-Identified issues, etc.) to deliver effectively designed and sustainable controls and one-time remediations. Advice, challenge, and guidance are provided on the design adequacy of controls and one-time remediations and their effective implementation through the complete lifecycle of a commitment from the planning and design phase, through the execution of the one-time remediation and control implementation, and during sustainability period as implemented controls are operationalized. Feedback and guidance are also provided on commitment closure documentation to ensure concise and clear explanation of the remedial action taken to deliver the committed improvements to the control framework. This role integrates in-depth specialty knowledge of risk management and control practices and control design and implementation with a solid understanding of the effective partnership required across the first, second and third lines of defense to successfully deliver control enhancements. This includes facilitation engagement across business and functional units through relevant Governance Forums. This role plays a critical role in leading activities to support implementation of the Data Governance Policy/Data Risk and Control framework. This job requires excellent communication skills needed to negotiate internally, often at a senior level. Developed communication and diplomacy skills are required to guide and influence others, in particular, colleagues in other areas and occasional external customers. Accountable for significant direct business results or authoritative advice regarding the operations of the business.
Job Responsibility:
Lead and facilitate Issue commitment engagements across the full lifecycle of remediation programs
Advise and support Commitment Owners on the effective design and implementation of one-time remediation and controls
Independently assess design adequacy of controls, operating effectiveness of implemented controls and assess the quality of evidence for remediation
Provide challenge, feedback and guidance on commitment closure documentation
Act as SME to senior stakeholders and/or other team members
Liaise with partners to lead in establishing, managing and implementing policy adoption plans, compliance metrics, communications and training
Expand and embed execution quality assurance across Wholesale Loans and Data Execution
Support key Data Transformation projects across the organization as Subject Matter Expert in data policies
Lead activities to ensure roles and responsibilities related to data are understood and implemented across businesses
Collaborate with colleagues to ensure timely execution of milestones, provide reporting of potential risks to delivery, and incorporate milestone reporting and changes
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency
Requirements:
10+ years of experience, Internal Audit, Banking or Finance industry preferred in Risk and Control or Data Governance/ Data Management/ Process Engineering or related area
Communicates effectively, develops and delivers multi-mode communications that convey a clear understanding of the unique needs of different audiences
able to drive consensus, and influence relationships at all levels
Collaborates effectively by building partnerships and working well with others to meet shared objectives
Strong negotiation, influencing and stakeholder management skills across a variety of stakeholders at different levels
Optimizes work processes by balancing effective / efficient processes with a focus on continuous improvement. Demonstrates ability to balance between seeing the “big picture” while paying close attention to detail
Organizational savvy: understands systems, management processes, knows where to go for information and how to interpret them
Working knowledge of Data Operating Model practices, Data Governance and Data Compliance within large, financial services firms