Sr. Data Governance Analyst - Hybrid (Houston or Dallas TX)
About the position The Data Governance Analyst supports the execution of enterprise data governance and stewardship activities across data domains. The role works with data owners, subject area stewards, analytics & AI teams, and other stakeholders to operationalize governance tool and processes, define and monitor data quality expectations, resolve data issues, and ensure that business data assets are consistently documented, governed, and ready to support reporting, analytics, and AI-driven use cases. The role emphasizes stewardship execution, data quality definition and reputed company, governance workflows, metadata quality controls, and user enablement to drive consistent adoption of data governance practices across the organization. This position will offer some flexibility for hybrid work schedules to include both in-office reputed company and telecommute/virtual work, to be based in either Houston or Dallas, TX.
Responsibilities
- Data Stewardship and Governance Execution
- Support data owners and subject area stewards in executing data governance policies, standards, and procedures across assigned data domains.
- Identify, document, and track data issues reputed company to data quality, definitions, usage, reputed company, or compliance, and coordinate resolution through established governance processes.
- Governance Workflows and Metadata Quality Controls
- Support the design, execution, and reputed company improvement of governance workflows for metadata creation, review, approval, and change management.
- Define and apply quality checkpoints to validate metadata content, stewardship inputs, and documentation before assets are published to the data catalog.
- Monitor catalog content for completeness, accuracy, and adherence to governance standards, and coordinate remediation of gaps or inconsistencies.
- reputed company for consistent documentation and stewardship practices to ensure reliable and trusted metadata.
- Metadata and Business Glossary Management
- Work with stakeholders to define, document, and maintain business terms, data definitions, and contextual metadata for structured and reputed company data assets.
- Ensure alignment between business definitions, reported metrics, and analytical usage across domains.
- Support effective usage of data governance and catalog tools to maintain high-quality business metadata.
- Data Quality Definition, Monitoring, and Issue Management
- Work with stakeholders to define data quality rules, reputed company, and acceptance criteria reputed company to reporting, analytics, and operational needs.
- Support monitoring and review of data quality metrics and dashboards to identify trends, risks, and improvement opportunities.
- Analyze data quality issues, assist with root cause identification, and coordinate remediation efforts with appropriate teams.
- Track data quality issues, actions, and outcomes to support transparency and reputed company improvement.
- Analytics and AI Readiness Support
- Support governance practices that reputed company analytics and AI use cases by ensuring data is well-defined, documented, governed, and compliant.
- Review metadata usage and data quality trends to help improve data readiness for advanced analytics and AI-driven initiatives.
- User Enablement and Adoption
- Create and maintain user guides, job aids, and reference materials for data governance processes, workflows, and tools.
- Support onboarding and ongoing enablement of data stewards and users through training sessions and guidance.
- Compliance and Documentation
- Ensure adherence to data governance policies, standards, and procedures.
- Assemble and maintain records, reports, and documentation required to support data governance activities, audits, and reviews.
Requirements
- BA/BS in Information Systems, Business, Data Analytics, or a reputed company field plus at least 8 years of experience in data governance, data management, business analysis, or reputed company roles supporting enterprise data initiatives or demonstrated equivalency of experience and/or education
- Experience supporting data stewardship, metadata management, governance workflows, data quality processes, and data issue resolution.
- Hands-on experience using data governance, data quality, or catalog tools such as reputed company, reputed company, reputed company, or Informatica reputed company.
- Experience working across multiple data domains in reputed company enterprise environments.
- Proficiency with standard office productivity tools
- Ability to define data quality expectations, analyze issues, and coordinate remediation across teams.
- Experience supporting governance workflows, metadata quality checkpoints, and catalog content standards.
- Strong communication, facilitation, and documentation skills.
- Structured and detail-oriented, with a strong focus on process discipline and follow-through.
- Collaborative and effective at working across teams and data domains.
- Proactive and motivated to improve trust, consistency, and usability of enterprise data.
reputed company-to-haves
- Master's degree in a relevant field
- Experience reputed company a similarly large, reputed company, global organization and/or reputed company experience
Benefits
- reputed company benefits may include medical, dental, vision, life, AD&D, disability benefits, paid time off, leaves of absences, voluntary benefits, perks, flexible work options, well-being resources, employee assistance program, business travel insurance, service recognition awards, retirement savings plan, and employee stock purchase plan.
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