Markets Data Controls Lead, Vice President

Citi•New York, NY

About The Position

Lead the end-to-end lifecycle of Data Controls for CDEs, encompassing assessment, requirements definition, partnering with Technology on design/build, testing, and transition to BAU with Data Managers and Control Owners Identify and address critical data quality themes arising from process interdependencies within large, complex technology environments. Partner with Markets SMEs to run control assessments, reviewing CDE level requirements against existing controls, ensuring data is properly controlled at the appropriate measurement points and assessing if a gap exists Own all control deliverables for Use Case Gap assessments and solutioning activities, which includes reviewing Use Case CDEs, analyzing consumer data quality requirements, identifying existing controls, and solutioning for identified control gaps. Facilitate and monitor adherence to Data Quality dimensions (completeness, accuracy, timeliness, consistency), acting as a Subject Matter Expert (SME) for data control requirements across Risk, Finance, Compliance, and Markets Use Cases Coordinate with Technology to rationalize and address control gaps by providing recommendations, defining enhancements, and overseeing remediation efforts Provide inputs into optimization of controls, recommending enhancements to existing Data Quality and control framework Coordinate with Technology to address control gaps by providing recommendations, defining enhancements, and ensuring gaps are remediated Partner with Control Owners and Business Stakeholders to manage data exceptions, including remediation planning and escalation processes, proposing solutions and mitigation strategies Engage Markets SMEs and Data Consumers to validate control effectiveness and ensure mitigation of risks Collaborate with Business to understand Data Control requirements and identify control gaps, then coordinate with Technology team to obtain data profiling results Drive DQ control refinement through data profiling, collaborating with technology to analyze results, identify high exceptions, and implement targeted control conditions to reduce false positives Cultivate and lead technology partnerships, delivering prioritized requirements and scope, and establishing clear processes and ownership

Requirements

8+ years of relevant experience in Data Quality within Banking, specifically within Markets, demonstrating a strong grasp of financial products and their operational intricacies
Expert understanding of various Markets asset classes (e.g., Fixed Income, Equities, Derivatives, FX), including their data structures, valuation methodologies, and market behaviors, crucial for accurate data analysis and actionable insights
Highly proactive individual with a strong sense of ownership and a demonstrated drive to achieve impactful results
Strong SQL skills with ability to read and write complex scripts, leveraging queries for data analysis, anomaly detection, and validation or data quality and controls
Proven ability to effectively manage diverse stakeholders and communicate complex information to senior and executive leadership with judgment and authority, leveraging excellent oral and written communication skills for insightful commentary.
Comfortable managing multiple priorities and tasks with accountability for deliverables
Strong understanding of data governance principles, including CDE frameworks and governance, data controls, Data Quality practices and dimensions, and their application
Hands-on experience with CDE level data controls implementation, data cataloging, metadata management, and Data Quality monitoring/profiling tools (e.g., Collibra)
Understanding of exception management processes, and ability to interpret and escalate Data Quality or Governance issues
Extensive experience in Risk and Control functions (First/Second Line) or relevant consulting within Markets or Financial Services, including proficiency in control assessments, testing, and the implementation of risk mitigation actions.
Advanced proficiency in Python for producing data analysis, outcomes, and metrics, coupled with comfort in presenting these insights to key stakeholders.
Demonstrated initiative in identifying opportunities for enhanced data insights and driving continuous improvement.
Exceptional attention to detail in the analysis and documentation of data and business requirements.
Ability to manage task level detail in JIRA
Bachelor's/University degree or equivalent experience, potentially Master's degree

Nice To Haves

Prior consulting experience within financial services or a related industry.

Responsibilities

Lead the end-to-end lifecycle of Data Controls for CDEs
Identify and address critical data quality themes
Partner with Markets SMEs to run control assessments
Own all control deliverables for Use Case Gap assessments and solutioning activities
Facilitate and monitor adherence to Data Quality dimensions
Coordinate with Technology to rationalize and address control gaps
Provide inputs into optimization of controls
Partner with Control Owners and Business Stakeholders to manage data exceptions
Engage Markets SMEs and Data Consumers to validate control effectiveness
Collaborate with Business to understand Data Control requirements and identify control gaps
Drive DQ control refinement through data profiling
Cultivate and lead technology partnerships