Senior Level Data Quality Manager Jobs
Senior level data quality manager jobs place experienced professionals in charge of enterprise data governance strategy, cross-functional quality initiatives, and the teams responsible for delivering measurable data integrity outcomes. Roles are distributed across Technology & Software, Electronics & Hardware, and Media & Entertainment, with a mix of on-site, remote, and hybrid settings, and employers like Lam Research, Ericsson, and Evalueserve 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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Senior Level Data Quality Manager Jobs: Frequently Asked Questions
How do I get a senior level data quality manager job?
Employers at this level look for candidates who can own data quality frameworks end-to-end, not just execute within them. Demonstrating experience building or overhauling data governance programs, leading cross-functional teams, and influencing data standards across an organization gives candidates a clear edge. Proficiency with tools like dbt, Collibra, or Informatica, combined with a record of measurable improvements to data accuracy or pipeline reliability, strengthens any application.
Which companies hire senior level data quality managers?
Companies hiring senior level data quality managers right now include Lam Research, Ericsson, and Evalueserve, based on current listings on Migrate Mate as of November 2026. Hiring at this level tends to concentrate in large enterprises and mid-size technology firms that maintain complex data ecosystems and need experienced professionals to lead quality strategy rather than fill an individual contributor role.
Are there remote senior level data quality manager jobs?
Yes, though availability varies by employer and industry. About 57% of senior level data quality manager openings are remote or hybrid as of November 2026, reflecting strong demand for experienced professionals who can manage distributed teams and governance programs without being on-site. Fully on-site roles are more common in regulated industries like finance and healthcare, where data handling requirements are stricter.
What makes a data quality manager role senior level?
Senior level data quality manager roles are defined by scope of ownership, not just task complexity. At this stage, the expectation shifts from managing quality processes to designing and enforcing enterprise-wide data governance frameworks, setting standards that other teams follow, and mentoring junior staff. Senior roles typically involve significant cross-functional influence, accountability for data quality metrics at an organizational level, and direct input into technology and tooling decisions.
Which industries hire the most senior level data quality managers?
Senior level data quality manager roles concentrate in Technology & Software, Electronics & Hardware, and Media & Entertainment, based on current listings on Migrate Mate as of November 2026. These sectors generate high volumes of regulated or business-critical data, which drives demand for experienced professionals who can build governance structures, reduce downstream errors, and ensure data assets meet compliance and analytical standards at scale.