Director - Data Governance | US

Evalueserve; Raleigh (NC); On-site; USD 120,000 - 150,000; Full time

Job summary

Evalueserve seeks 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, ownership models, and reporting to improve data quality, accountability, and usability across priority domains.

Key responsibilities include leading Collibra-driven governance and quality initiatives, configuring workflows, defining data-quality rules, and producing

Qualifications

• 6–8 years of enterprise data governance, data quality, or related data-management experience.
• Hands-on Collibra design and workflow configuration experience.
• Proven ability to define rules, thresholds, ownership, remediation, and reporting for data quality.

Responsibilities

• Lead data governance and quality initiatives, preferably with Collibra, from design through adoption.
• Configure Collibra workflows for term approvals, ownership changes, and issue management.
• Define measurable data-quality rules, thresholds, and acceptance criteria.
• Establish issue triage, remediation, validation, and monitoring processes with clear SLOs.
• Produce monthly data-quality reports covering rule performance, aging, and defects.
• Maintain governance metadata, ownership, stewardship, and traceability across terms, elements, and rules.
• Create and maintain workflow docs, runbooks, and operating procedures.
• Collaborate with engineering and architecture teams when governance depends on their platforms.

Skills

Data governance

Data quality

Stakeholder management

Cross-functional collaboration

Documentation

Tools

Collibra

Databricks

Unity Catalog

Job description

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.

Key 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

Required Qualifications

• 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 Qualifications

• 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.

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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.