Senior Metadata & Data Mapping Analyst

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.
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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
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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.