Data Governance Analyst

Reporting to the Manager of Data Governance and working with minimal supervision, the Data Governance Analyst plays a central role in implementing and sustaining processes that ensure enterprise data is secure, trusted, and well-documented. The Analyst is responsible for managing data model certification, metadata quality, access controls, and the registration of reporting assets across platforms such as Databricks and Power BI.

Provides Scrum Master support for governance-related workstreams or ownership of the enterprise data dictionary and cataloging practices. The Analyst collaborates cross-functionally with business stakeholders, engineers, and data stewards to enforce governance policies, improve intake workflows, and promote data literacy and transparency.

• Manages the intake, validation, and certification process for data models used in enterprise reporting.
• Maintains and enforces metadata standards for gold tables, dashboards, and data assets across Databricks, Power BI, and supporting platforms.
• Coordinates and documents data access requests, ensuring proper approvals, justifications, and security alignment.
• Uses Jira and ServiceNow to manage governance tasks, Epics, and intake queues.
• Leads or supports governance audits related to metadata completeness, model certification, or access tracking.
• Partners with governance leadership to improve intake workflows, define process documentation, and support cross-functional communication.
• Escalates systemic issues and contributes to governance process design and continuous improvement.
• Serves as Scrum Master for the data governance team, facilitating sprint planning, backlog grooming, daily standups, and retrospectives.
• Coordinates cross-functional governance initiatives and ensures timely delivery of prioritized work.
• Tracks team velocity, surface blockers, and communicates sprint status to stakeholders.
• Maintains Jira hygiene and ensure stories have clear requirements, definitions of done, and acceptance criteria.
• Owns the structure and maintenance of the enterprise data dictionary, ensuring gold table metadata is accurate, complete, and accessible.
• Oversees cataloging of dashboards and models, ensuring each asset includes definitions, classification, audience, and lineage.
• Collaborates with data producers and analysts to gather and standardize business definitions across domains.
• Drives consistency in metadata practices and supports business-facing documentation efforts in tools like Confluence or MS Purview.

• Strong understanding of data governance principles, including metadata management, data model certification, access control, and data classification.
• Proficiency in Jira and ServiceNow for managing intake workflows, sprint planning (if applicable), and governance-related tracking.
• Experience with cloud data platforms such as Databricks and reporting tools like Power BI for reviewing models, enforcing standards, and validating metadata.
• Demonstrated ability to maintain and enforce enterprise metadata structures, including data dictionaries and reporting catalogs.
• Strong Excel skills, including advanced formulas, pivot tables, and lookup functions to support governance reviews and audit reporting.
• Ability to document business and technical requirements clearly and translate them into structured stories or intake requests.
• Effective communicator with the ability to work across technical and business teams to gather input, escalate issues, and document governance outcomes.
• Analytical thinker who can identify gaps, trends, or inconsistencies in metadata, access requests, and reporting structures.
• Organized and detail-oriented, with the ability to manage multiple parallel workflows and ensure consistency across documentation and access approvals.
• Comfortable facilitating workstreams or project planning sessions; Scrum Master experience is a plus (if in that focus area).
• Capable of mentoring junior governance team members and reinforcing standards and best practices.