Senior Level Data Governance Analyst Jobs
Senior level data governance analyst jobs put experienced professionals in charge of data strategy, policy frameworks, and the cross-functional initiatives that make governance stick across an organization. Openings are concentrated across Technology & Software, Banking & Financial Services, and Investment & Asset Management, with a mix of on-site, hybrid, and remote roles available, and employers like Northwest Bank, Humana, and Capgemini hiring at this level now.
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Job Summary
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.
Why Join Evalueserve:
Evalueserve is a global leader in managed services that empower smarter decision-making and streamline critical workflows for more than 30% of the Fortune 500 companies across 45 countries. With over 4,500 professionals worldwide, our solutions are grounded in deep domain expertise and enhanced by cutting-edge AI and automation to boost productivity and scale client impact. Over the last 25 years, we have helped clients transform how they work and today we are pushing the frontier further with generative and agentic AI. We foster a merit-based and innovation-driven culture that encourages creativity, continuous learning, and professional growth. Our hybrid working model provides international exposure and flexibility. Evalueserve has been recognized as a Great Place to Work® across four continents and ranks among the top 5% of global companies for diversity—alongside numerous awards across its solution lines.
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.
Job Summary
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.
Why Join Evalueserve:
Evalueserve is a global leader in managed services that empower smarter decision-making and streamline critical workflows for more than 30% of the Fortune 500 companies across 45 countries. With over 4,500 professionals worldwide, our solutions are grounded in deep domain expertise and enhanced by cutting-edge AI and automation to boost productivity and scale client impact. Over the last 25 years, we have helped clients transform how they work and today we are pushing the frontier further with generative and agentic AI. We foster a merit-based and innovation-driven culture that encourages creativity, continuous learning, and professional growth. Our hybrid working model provides international exposure and flexibility. Evalueserve has been recognized as a Great Place to Work® across four continents and ranks among the top 5% of global companies for diversity—alongside numerous awards across its solution lines.
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.
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Who's Hiring
Top Industries Hiring
- Technology & Software
- Banking & Financial Services
- Investment & Asset Management
- Consulting & Professional Services
- Manufacturing
Senior Level Data Governance Analyst Jobs: Frequently Asked Questions
How do I get a senior level data governance analyst job?
Employers at this level want candidates who have owned governance programs end to end, not just supported them. Demonstrating that you have designed data policies, led data quality initiatives, and influenced stakeholders across business and technical teams is what separates senior candidates from mid-level ones. A working knowledge of metadata management tools, data catalogs, and regulatory frameworks like GDPR or CCPA strengthens your positioning considerably.
Which companies hire senior level data governance analysts?
Companies hiring senior level data governance analysts right now include Northwest Bank, Humana, and Capgemini, based on current listings on Migrate Mate as of November 2026. Hiring at this level tends to concentrate in large enterprises and regulated industries where data governance is a compliance and strategic priority, not just an operational function.
Are there remote senior level data governance analyst jobs?
Yes, though availability varies by employer and industry. About 38% of senior level data governance analyst openings are remote or hybrid as of November 2026, reflecting the fact that governance work is largely documentation, stakeholder alignment, and tool-based, which translates well to distributed teams. On-site roles are more common in heavily regulated sectors where data handling requires physical oversight.
What makes a data governance analyst role senior level?
Senior level roles are defined by ownership and scope rather than task execution. At this stage, you are expected to set governance standards, build or mature a data governance framework, resolve cross-team data conflicts, and mentor junior analysts. You are accountable for program outcomes and regularly advise leadership on data risk, data quality, and compliance posture rather than following a playbook someone else created.
Which industries hire the most senior level data governance analysts?
Senior level data governance analyst roles concentrate in Technology & Software, Banking & Financial Services, and Investment & Asset Management, based on current listings on Migrate Mate as of November 2026. These sectors drive hiring at this level because they manage large, complex data estates and face regulatory requirements that demand formal, well-resourced governance programs led by experienced professionals.