Lead Data Management Analyst

In this role, you will:

• Organize and lead complex companywide initiatives to ensure that data quality is maintained so that data can effectively support business processes
• Oversee analysis and reporting in support of regulatory requirements
• Identify and recommend analysis of data quality or integrity issues
• Evaluate data quality metrics and data quality audits to benchmark the state of data quality
• Make decisions in complex and multi-faceted situations requiring solid understanding of data governance standards and procedures
• Identify new data sources and develop recommendations for assessing the quality of new data
• Lead project teams and mentor less experienced staff members
• Recommend remediation of process or control gaps that align to management strategy
• Serve as relationship manager for a line of business
• Consult with and provide recommendations to senior management regarding assessments of the current state of data and metadata quality within area of assigned responsibility
• Represent client in cross-functional groups to develop companywide data governance strategies
• Strategically collaborate and consult with peers, colleagues, and mid-level to senior managers to coordinate and drive collaboration on solution design and remediation execution
• Own the data product vision and roadmap for feed rationalization and platform simplification, ensuring alignment with CIBs data strategy and business priorities.
• Collaborate with technology and business teams to translate business needs into actionable data product requirements and oversee delivery.
• Analyze existing data feeds and applications, identify opportunities for consolidation, and drive adoption of strategic data sources to reduce cost and complexity.
• Act as the primary liaison between business, operations, and technology teams, ensuring transparency and alignment on priorities and outcomes.
• Identify opportunities to embed AI/ML and automation into data services (e.g., data discovery, quality checks, workflow automation).
• Define and monitor OKRs for data simplification initiatives, reporting progress to senior stakeholders on measurable outcomes such as feed reduction and improved data quality.

Required Qualifications:

• 5+ years of Data Management, Business Analysis, Analytics, or Project Management experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Desired Qualifications:

• Experience in financial services or investment banking.
• Strong understanding of data platforms, pipelines, and enterprise data tools.
• Proven ability to influence and collaborate in a matrixed environment.
• Familiarity with AI/ML concepts and their application in data operations.
• Knowledge of agile principles and experience with tools like Jira and Confluence.
• Excellent analytical, problem-solving, and communication skills.

Job Expectations:

• Serve as the product owner for data rationalization initiatives, ensuring delivery of simplified, scalable, and compliant data solutions.
• Collaborate across business, technology, and compliance teams to implement enterprise data strategies.
• Ensure adherence to data governance standards and regulatory requirements (e.g., BCBS 239, GDPR).
• Support reporting and updates for senior stakeholders on progress and outcomes.