Senior Enterprise Data Governance Analyst - Information Technology

Description

Summary

The Senior Data Governance Analyst is responsible for ensuring the integrity, quality and governance of the organization's data assets. This role develops and implements governance frameworks, ensures data accuracy and consistency, advances metadata management best practices, and leads data stewardship activities across departments. The Senior Analyst will collaborate with data stewards, business units, support areas, and technology teams to ensure that data governance initiatives support business objectives, operational efficiencies, and regulatory compliance.

Essential Duties and Responsibilities include the following. Other duties may be assigned with or without prior notice.

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

Defines and implements metadata management best practices, including classification, lineage tracking, and documentation.

Leads data stewardship efforts, working with business units and data owners to establish clear governance roles and responsibilities.

Develops and enforces data governance policies and procedures, ensuring alignment with regulatory requirements and industry best practices.

Manages multiple governance initiatives, ensuring timely execution and strategic alignment with business objectives.

Supports the implementation and management of a data catalog, optimizing usage for discovery, classification, and governance.

Collaborates with Information Technology, analytics, compliance, and business intelligence teams to embed governance standards into operational workflows.

Provides training and guidance on data stewardship, governance policies, metadata management and business glossary development to drive consistent data understanding.

Stays informed on industry trends, regulatory changes, and evolving methodologies to ensure compliance and best practices.

Monitors and reports on data governance and quality metrics, driving accountability and continuous improvements.

Conducts root cause analysis on data quality issues using systems thinking and enterprise-wide data analysis, coordinating resolution strategies across platforms to prevent recurrence.

Leads data quality improvement initiatives across business units and data domains, ensuring continuous enhancement of data integrity.

Ensures data cleansing activities eliminate errors, duplicates, and inconsistencies, supporting accurate reporting and decision-making.

Provides support to data stewards, offering guidance on maintaining data quality within their respective domains.

Oversees and perform data governance tool selection and implementation for quality monitoring and improvement efforts.

Other Skills & Abilities

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

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

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

Computer Skills

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

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

Qualifications

Bachelor's Degree in a relevant field such as Information Systems, Data Management, Business Analytics, or related field required.

Minimum of 5 years of experience in data management, data governance, data quality or a related field in the financial services industry required.

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

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

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

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

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

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

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

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