Senior Lead Data Management Analyst

About the Role

Key Responsibilities

• Act as a trusted advisor to senior leadership, influencing objectives, roadmaps, and long-term strategies for complex business and technical data needs.
• Lead the design and execution of advanced data quality assessments, root cause analysis of data defects, and remediation strategies across critical COO data assets.
• Drive the identification, sourcing, and documentation of high-priority business and regulatory use cases, ensuring alignment with enterprise data governance standards.
• Provide strategic guidance on the development and implementation of domain-specific information structures, including metadata, lineage, and control frameworks.
• Evaluate and benchmark data quality metrics and audit results to inform continuous improvement and risk mitigation strategies.
• Serve as a function expert in the use of data artifacts, metadata, and lineage to support regulatory reporting, operational efficiency, and risk reduction.
• Collaborate with cross-functional teams to design and implement scalable, sustainable data controls and governance processes.
• Represent the COO Data Domain in enterprise-wide data governance forums, influencing policy, standards, and domain incentives in the data space.
• Lead the development of domain-specific data incentives and accountability models to drive adoption of data management best practices.
• Partner with data stewards, technology, risk, and compliance teams to ensure data is fit for purpose and aligned with regulatory expectations.

Requirements

• 7+ years of experience in Data Management, Business Analysis, Analytics, or Project Management, or equivalent demonstrated through a combination of work experience, training, military service, or education.
• Proven experience implementing and operationalizing enterprise Data Management Policies and Standards.
• Deep understanding of regulatory data requirements (e.g., BCBS 239, CCAR, GDPR) and experience supporting regulatory actions or remediation efforts.
• Expertise in identifying, sourcing, and documenting business-critical and regulatory use cases, including associated data artifacts and metadata.
• Strong knowledge of data control frameworks, data quality rules, and domain-specific information structures.
• Experience with data defect management, root cause analysis, and remediation planning.
• Familiarity with domain incentives and accountability models in the data governance space.
• Demonstrated ability to lead cross-functional initiatives and influence senior stakeholders across business, risk, and technology.
• Proficiency with data governance and metadata tools (e.g., Collibra, Informatica, Alation).
• Strong analytical, problem-solving, and communication skills, with the ability to translate complex data issues into actionable insights.

Nice to Have

• Familiarity with data control frameworks, data quality rules, and domain-specific information structures.
• Experience with data defect management, root cause analysis, and remediation planning.
• Proficiency with data governance and metadata tools (e.g., Collibra, Informatica, Alation).

Qualifications

• No specific formal educational qualifications specified in the description.

Benefits & Perks

• Health benefits
• 401(k) Plan
• Paid time off
• Disability benefits
• Life insurance, critical illness insurance, and accident insurance
• Parental leave
• Critical caregiving leave
• Discounts and savings
• Commuter benefits
• Tuition reimbursement
• Scholarships for dependent children
• Adoption reimbursement