Data Governance Manager

Role & responsibilities

Champion data governance and quality initiatives to ensure accuracy, consistency, and reliability across platforms and business processes.

• Define and implement metadata management best practices, including classification, lineage tracking, and documentation.
• Lead data stewardship efforts, working with business units and data owners to establish clear governance roles and responsibilities.
• Develop and enforce data governance policies and procedures, ensuring alignment with regulatory requirements and industry best practices.
• Manage multiple governance initiatives, ensuring timely execution and strategic alignment with business objectives.
• Support the implementation and management of a data catalog, optimizing usage for discovery, classification, and governance.
• Collaborate with IT, analytics, compliance, and business intelligence teams to embed governance standards into operational workflows.
• Provide training and guidance on data stewardship, governance policies, metadata management and business glossary development to drive consistent data understanding.
• Stay informed on industry trends, regulatory changes, and evolving methodologies to ensure compliance and best practices.
• Monitor and report on data governance and quality metrics, driving accountability and continuous improvements.
• Conduct root cause analysis on data quality issues using systems thinking and enterprise-wide data analysis, coordinating resolution strategies across platforms to prevent recurrence.
• Lead data quality improvement initiatives across business units and data domains, ensuring continuous enhancement of data integrity.
• Ensure data cleansing activities eliminate errors, duplicates, and inconsistencies, supporting accurate reporting and decision-making.
• Provide support to data stewards, offering guidance on maintaining data quality within their respective domains.

Preferred candidate profile

Extensive knowledge of data governance frameworks, methodologies, and best practices.

Proven experience in developing and implementing data policies, standards, and procedures.

Strong background in data quality management, including issue identification, resolution strategies, and continuous improvement efforts.

Experience working with regulatory bodies and understanding compliance requirements related to data management in financial services (preferred).

Excellent communication and interpersonal skills, with the ability to effectively influence stakeholders at all organizational levels.

Demonstrated leadership in data governance, successfully driving adoption of governance programs across the company.

Prior experience in data catalog implementation and management (e.g., Collibra, Alation, Informatica).

Strong analytical and problem-solving skills, with expertise in root cause analysis and issue resolution.

Relevant certifications in data management or governance (e.g., Certified Data Management Professional (CDMP) preferred).

Proficiency in SQL, Python, or R, with hands-on experience in data lineage tracking and ETL processes.

Experience with AI-driven data governance tools for automation and anomaly detection

Ability to work with ETL tools, data governance platforms, and data visualization software to enhance reporting and decision-making.

Strong cross-functional collaboration skills, ensuring alignment between business units, IT and analytics teams