Job Description / Responsibilities
• Lead enterprise metadata management initiatives, maintaining both business and technical metadata repositories.
• Develop and maintain comprehensive source-to-target data mappings (STTM) across complex banking, risk, finance, and regulatory data platforms.
• Create and manage business definitions, transformation rules, calculations, aggregation logic, lineage, and data dictionaries.
• Partner with business, risk, finance, compliance, and technology teams to ensure data accuracy, consistency, and traceability.
• Support Client 239 compliance initiatives, including data lineage, governance, risk data aggregation, audit readiness, and regulatory reporting requirements.
• Facilitate business workshops and working sessions to capture data requirements, business definitions, and reporting needs.
• Perform impact analysis, data validation, reconciliation, profiling, and UAT support activities.
• Identify data quality issues, lineage gaps, and governance control weaknesses while driving remediation efforts.
• Ensure governance artifacts, standards, naming conventions, and documentation align with enterprise and regulatory requirements.
• Contribute to RFPs, proposals, business development activities, and client presentations related to data governance and regulatory transformation.
• Lead and mentor a team of metadata and data mapping analysts, including task planning, quality reviews, and onshore/offshore coordination.
________________________________________
What are the Top 3 Skills Required for this Role?
1. Metadata Management, Data Governance & Client 239 Compliance
2. Source-to-Target Data Mapping (STTM), Data Lineage & Data Quality Management
3. Banking Domain Expertise (Risk, Finance, Regulatory Reporting, Capital Markets) with Strong Stakeholder Management
________________________________________
Additional Information
Experience Required
• 7–10 years of experience in Data Analysis, Metadata Management, Data Governance, or Data Mapping.
• Extensive banking or financial services industry experience.
• Experience supporting regulatory, risk, finance, and governance initiatives.
• Prior experience leading small teams and coordinating onshore/offshore delivery models.
Preferred Tools & Technologies
• Collibra
• Informatica
• Alation
• Ab Initio
• Data Catalog and Data Lineage Platforms
• SQL
• Data Warehousing Solutions
• ETL / ELT Technologies
Key Deliverables
• Enterprise metadata repositories and business glossaries.
• Source-to-target mapping documentation.
• Data lineage and traceability artifacts.
• Data quality controls and governance deliverables.
• Client 239 and regulatory reporting support documentation.
• Audit-ready governance and compliance artifacts.
Team Environment
• Cross-functional collaboration with Business, Risk, Finance, Compliance, Data Governance, and Technology teams.
• Opportunity to lead a small team of analysts and influence enterprise data governance practices.
• High-visibility role supporting strategic regulatory and data transformation initiatives.
Ideal Candidate (10/10 Fit)
• Strong financial services and regulatory domain expertise.
• Extensive hands-on experience with metadata management, lineage, and complex source-to-target mappings.
• Deep understanding of Client 239 and risk data aggregation requirements.
• Strong SQL and data analysis skills.
• Experience with Collibra, Informatica, Alation, or similar governance platforms.
• Proven leadership experience managing teams and client-facing engagements.
• Experience contributing to RFPs, proposals, and business development initiatives.
• Excellent communication skills with the ability to translate business and regulatory requirements into actionable data governance solutions.