Sr Data Governance Analyst

JOB DESCRIPTION:

Client is seeking a motivated and detail-oriented Senior Data Governance Analyst to support the growth and execution of our enterprise data governance framework. This role will work cross-functionally with product owners, stewards, and technical teams to help define and maintain key data standards, policies, definitions, and quality practices across the enterprise.

As part of the growing Data Governance team, you will assist with monitoring data quality, cataloging critical data elements, and promoting data literacy. This is an excellent opportunity for an analyst with foundational experience in data governance or data management who is eager to contribute to impactful enterprise initiatives in a modern data environment.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

• To perform this job successfully, the individual must be able to perform each essential duty satisfactorily:
• Lead implementation and custodianship of data definitions, metadata standards, and business glossaries using Alation.
• Drive identification and stewardship of critical data elements, defining and maintaining business rules and ensuring alignment with enterprise priorities.
• Proactively lead monitoring and triaging data quality issues using Monte Carlo, and lead remediation coordination with both business stakeholders and technical teams.
• Design and maintain enterprise data quality dashboards and reporting solutions using Tableau to drive insights and accountability.
• Partner with data stewards, data engineering, and BI teams to align data sources with enterprise data models, and recommend improvements to data architecture.
• Provide oversight and execution support for data validation and testing across systems during releases and project deployments.
• Lead efforts in Master Data Management (MDM) and Reference Data Management (RDM), including configuration, governance, and lifecycle oversight.
• Maintain and enhance enterprise data catalog documentation, ensuring accuracy of data lineage, ownership, and classification.
• Drive implementation of data governance standards, policies, and best practices across departments and act as a change agent to improve data literacy and governance adoption.
• Collaborate with third-party data providers to ensure integrity, quality, and SLA compliance of inbound data feeds.
• Provide strategic guidance and hands-on support for QA and UAT efforts, ensuring data related test scenarios reflect real-world business needs and data risk exposure. Recommend test cases to be permanent
• Manage daily operations and continuous improvement of Governance-managed tools (Alation, Monte Carlo), including integrations, vendor relations, cost/license tracking, and feature adoption.
• Collaborate closely with Data Engineering to define, maintain, and promote certified datasets as trusted sources for analytics and reporting.
• Mentor junior team members and contribute to governance strategy development.
• Foster a culture of data stewardship, literacy, and responsible data usage throughout the organization.

KNOWLEDGE, SKILLS, AND/OR ABILITIES:

• To perform this job successfully, the individual should have the following advanced skills and capabilities:
• Strong understanding of data governance frameworks, data lifecycle management, and enterprise data strategy.
• Hands-on experience with metadata management and data catalog tools (e.g., Alation).
• Experience with data quality and monitoring platforms such as Monte Carlo.
• Proficient in SQL for querying and analyzing data across complex systems.
• Experience with modern cloud-based data warehouse and data lake platform architectures such as Azure Databricks and Snowflake
• Proven ability to assess, troubleshoot, and resolve complex data quality issues.
• Skilled at cross-functional collaboration, translating business needs into actionable data initiatives.
• Excellent project management, organization, and documentation skills.
• Effective communicator capable of influencing data-related decisions across technical and business audiences.
• Ability to work independently and manage multiple initiatives with minimal supervision.