Job Description

Our Client is looking for a Data Governance Manager in their New York, New York Location!

Key Responsibilities:

Data Quality Governance:

• Lead and support initiatives focused on a defined set of critical data elements to ensure alignment with internal policies and procedures, including data ownership, controls, and cataloging.

Data Lineage Documentation & Analysis:

• Create and maintain detailed data lineage documentation that captures the end-to-end data flow, transformation logic, and system interactions from source to consumption.

Stakeholder Engagement:

• Partner with business stakeholders, data owners, product managers, and technology teams to map data flows and better understand upstream and downstream data dependencies.

Data Governance Enhancements:

• Identify and address gaps in data governance and quality standards. Recommend actionable improvements to enhance data transparency and control.

Business Requirements Analysis:

• Translate complex business requirements into clear and actionable technical specifications for reporting, regulatory compliance, and risk management purposes.

Testing and Validation:

• Support testing efforts to ensure data lineage accuracy and alignment with documented business requirements. Participate in validation of data pipelines and transformations.

Qualifications:

• Bachelor’s degree in Business, Finance, Computer Science, Information Systems, or a related field (Master’s degree preferred).
• 3+ years of experience as a Business Analyst, Data Analyst, or similar role within financial services or investment banking.
• Strong knowledge of data management, governance, and lineage methodologies.
• Familiarity with banking systems and financial products is highly desirable.
• Experience with data modeling, mapping tools, and data integration technologies.
• Proficient in SQL for data analysis and extraction.
• Understanding of data governance frameworks and regulations (e.g., BCBS 239, GDPR, MiFID II).
• Excellent interpersonal and communication skills, with the ability to work across business and technical teams.

Preferred Skills:

• Hands-on experience with data lineage tools such as Alation, Collibra, or Informatica.
• Knowledge of data transformation processes and ETL pipelines.
• Ability to thrive in a fast-paced, high-pressure environment with evolving priorities.

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