The Senior Data Governance Analyst is an individual contributor who leads governance activities across assigned enterprise data domains and helps operationalize a maturing data governance program. Partnering with data owners, data stewards, business teams, and Information Technology & Services (IT&S), this role applies data governance principles to complex business and technical environments, establishing clear definitions, standards, business rules, data-quality requirements, metadata, lineage, and controls.
Combining hands-on data analysis with governance leadership, this role owns complex data-quality and control issues, leads root-cause analysis, translates business requirements into actionable governance and system requirements, and validates implemented solutions. The position serves as a senior resource on complex, cross-functional data issues and partners with the Manager, Data Governance, to operationalize and strengthen governance practices across the organization.
Data Governance & Domain Management- Lead governance activities for assigned enterprise data domains, partnering with data owners, data stewards, subject-matter experts, and IT&S teams.
- Establish and maintain business definitions, data standards, critical data elements, business rules, ownership, stewardship expectations, and decision rights within established governance frameworks.
- Develop a detailed understanding of the business processes, systems, workflows, and integrations that create, maintain, and consume governed data.
- Translate business-approved requirements into data standards, controls, system requirements, and governance processes.
- Lead governance working sessions, document decisions and exceptions, resolve conflicting or incomplete requirements, and escalate issues requiring business or governance decisions.
- Apply established privacy, security, retention, access, and regulatory requirements to governed data and escalate interpretation or exception decisions to the appropriate control owner.
Data Quality & Issue Management- Define domain-level data-quality rules, thresholds, metrics, and validation criteria consistent with enterprise data-quality standards.
- Perform hands-on data profiling and analysis to identify anomalies, inconsistencies, data-quality issues, and control gaps.
- Lead root-cause analysis across business processes, system configuration, workflows, integrations, and data.
- Drive data-quality issue management and remediation with data owners, stewards, application teams, and other technology partners.
- Monitor data-quality measures and exceptions, identify recurring issues and recommend preventative process, system, or data controls.
Master & Reference Data- Govern master and reference data across enterprise systems and business processes within assigned domains.
- Define and document master-data definitions, hierarchies, ownership, lifecycle rules, standards, and data-quality requirements.
- Translate approved business requirements into Master Data Management (MDM) requirements, including validation rules, governance workflows, approval processes, and acceptance criteria.
- Serve as the Data Governance subject-matter expert on MDM initiatives, partnering with business and technical teams through design and implementation.
- Perform testing and validation to confirm implemented MDM capabilities meet approved governance requirements and acceptance criteria.
Metadata, Lineage & Data Controls- Maintain business and technical metadata, including definitions, ownership, relationships, classifications, rules, and standards, within enterprise governance and cataloging tools.
- Document and analyze data lineage across source systems, integrations, transformations, and consuming applications to identify dependencies, control gaps, and data-quality risks.
- Identify discrepancies between approved business definitions or rules and actual data, process, or system behavior.
- Define governance requirements for controls and validation rules and validate that implemented controls meet approved requirements.
- Maintain governance documentation and evidence necessary for traceability, accountability, and auditability.
Governance Leadership & Partnership- Independently lead complex governance work involving multiple business functions, systems, or data domains.
- Challenge ambiguous, incomplete, or conflicting requirements and drive stakeholders toward clear definitions, decisions, and ownership.
- Serve as a senior governance resource to Data Governance Analysts and project teams on complex data-quality, metadata, lineage, master-data, and governance issues.
- Communicate data-quality findings, governance risks, decisions, and recommendations clearly to business and technical audiences.
- Partner with Legal, Privacy, Cybersecurity, Architecture, Analytics, and other control or technology functions as appropriate.
- Support governed data foundations for analytics, automation, AI, enterprise system implementations, and other data-dependent initiatives.
- Bachelor's degree in Business, Information Systems, Data Management, Computer Science, or a related discipline, or an equivalent combination of education and relevant professional experience.
- 5+ years of progressive data governance, data management, data quality, or closely related experience, with demonstrated success independently leading complex, cross-functional governance initiatives.
- Demonstrated depth across core data governance disciplines, including data quality, master and reference data, critical data elements, business rules, ownership, stewardship, and controls.
- Hands-on proficiency in data profiling and analysis, including investigating data-quality issues and conducting root-cause analysis.
- Background with data governance, catalog, metadata, data-quality, or Master Data Management platforms, such as Informatica, Microsoft Purview, Collibra, Alation, or comparable technologies.
- Proven ability to translate business requirements into actionable standards, governance requirements, controls, validation rules, and acceptance criteria.
- Strong understanding of enterprise systems and data flows, including how business processes, system configuration, integrations, and controls affect data quality and lineage.
- Strong facilitation and stakeholder management skills, with the ability to challenge assumptions, resolve ambiguity, and drive decisions across business and technical teams without direct authority.
- Ability to independently lead complex governance work across multiple priorities, stakeholders, systems, and data domains.
- Ability to complete company-sponsored ITIL Foundation certification within 90 days of hire.
Preferred:- Background supporting Master Data Management implementations or enterprise data transformation initiatives.
- Working knowledge of SQL for data profiling, validation, troubleshooting, or data-quality analysis.
- Familiarity with Power BI or comparable reporting and visualization tools.
- Professional certification in data management or governance, such as DAMA Certified Data Management Professional (CDMP), EDM Council DCAM, or comparable credentials.
Work environment:- Required job duties are normally performed in a climate-controlled office environment.
- Exposure to computer screens.
- The noise level in the work environment is usually moderate
Salary Range: $110,000 - 125,000 per year
The posted compensation range is based on the applicable geographic market for the position and may vary depending on factors such as related experience and skill set. Final compensation will be determined based on these items and other relevant factors.
