Director - Data Governance | US

We are seeking a Senior Consultant with 6-8 years of experience to design and operationalize enterprise data governance and data-quality capabilities, with a strong focus on Collibra. The role will establish practical workflows, controls, ownership models, and reporting that improve the quality, accountability, and usability of critical data across priority domains.

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Responsibilities

• Data Governance & Quality Delivery: Lead hands-on data governance and data-quality initiatives, preferably using Collibra, from design through operational adoption.
• Collibra Workflow Configuration: Configure workflows for business-term approval, ownership changes, data-quality issue management, escalation, and closure.
• Data-Quality Rules & Thresholds: Define measurable quality rules, thresholds, and acceptance criteria for critical data elements across priority domains.
• Issue Management & Remediation: Establish issue identification, triage, ownership, remediation, validation, and monitoring processes with clear service expectations.
• Quality Reporting: Produce a monthly data-quality report covering rule performance, open issues, aging, remediation progress, recurring defects, and priority actions.
• Metadata, Ownership & Stewardship: Maintain governance metadata, ownership assignments, stewardship responsibilities, and traceability between terms, data elements, rules, and issues.
• Operational Documentation: Create and maintain workflow documentation, operating procedures, and run books so staff can operate, support, and safely change the processes.
• Cross-Functional Collaboration: Work with engineering and architecture teams where governance workflows depend on their platforms, assets, interfaces, or delivery plans

Requirements

• 6-8 years of relevant experience in enterprise data governance, data quality, metadata management, or related data-management roles.
• Strong hands-on Collibra experience, including the design and configuration of data-governance workflows.
• Proven experience establishing data-quality processes covering rules, thresholds, issues, ownership, remediation, monitoring, and reporting.
• Working knowledge of metadata management, business glossaries, data ownership, data stewardship, and critical data elements.

Preferred

• Exposure to Databricks, Unity Catalog, or modern lakehouse environments.
• Experience with data-product or data-mesh governance models.
• Experience partnering with enterprise data engineering and architecture teams in complex, regulated environments.

Evalueserve climbed 16 places on the “50 Best Firms for Data Scientists in 2024.”

Disclaimer

The following job description serves as an informative reference for the tasks you may be required to perform. However, it does not constitute an integral component of your employment agreement and is subject to periodic modifications to align with evolving circumstances.

Please Note

We appreciate the accuracy and authenticity of the information you provide, as it plays a key role in your candidacy. As part of the Background Verification Process, we may verify your employment, education, and other details. Please ensure all information is factual and submitted on time. For any assistance, your recruiter is available to support you.