
Senior Data Governance Analyst, 6 month contract
Posted Jul 25

Posted Jul 25
This is a fully remote position, open to applicants in United States.
• Take charge of cataloging and enhancing priority data domains within the enterprise data catalog platform, guaranteeing the completeness of business descriptions, CDE designations, sensitivity labels, lineage documentation, and assignments of data ownership.
• Design, implement, and uphold data quality monitoring frameworks and observability patterns for critical datasets; spearhead root cause analysis and issue resolution efforts in partnership with Data Stewards, Data Owners, and engineering teams.
• Supervise and maintain the business glossary, data dictionary, and critical data elements (CDEs), fostering alignment between business domain leads and technical teams on authoritative definitions and metric standards.
• Lead cross-functional initiatives to operationalize Data Trust processes, which include stewardship onboarding, certification reviews, governance policy enforcement, and data access governance.
• Conduct advanced data profiling, analysis, and lineage tracing across source and target systems to support certification readiness, compliance requirements, and AI enablement projects.
• Develop and maintain Data Trust metrics, scorecards, and reporting dashboards that monitor catalog coverage, data quality health, certified asset counts, and stewardship adoption.
• Serve as a subject matter expert and trusted advisor to Data Owners, Data Stewards, technical teams, and business leaders regarding data governance expectations, issue prioritization, and strategies for data quality remediation.
• Design and document enhancements to data governance processes, metadata standards, and data quality frameworks, presenting recommendations to the Senior Manager, Data Trust.
• Mentor and assist junior Data Governance Analysts by providing coaching on tools, governance techniques, and best practices for metadata management and quality assurance.
• Support the governance of AI-ready data assets by ensuring certified datasets comply with quality, lineage, sensitivity, and documentation standards necessary for analytics and AI system consumption.
• A post-secondary degree in Computer Science, Information Management, Business, Mathematics, or a related field.
• 3 to 5 years of experience in data governance, data quality, metadata management, or a closely related analytical field.
• Proven experience in independently leading data governance or data quality initiatives within a cross-functional, enterprise environment.
• Proficient in SQL with experience in advanced data profiling, analysis, and lineage documentation across enterprise data assets.
• Practical experience with enterprise data catalog platforms, metadata management tools, or data quality monitoring platforms.
• Strong understanding of data governance frameworks (e.g., DAMA-DMBOK, DCAM) and practical experience applying them across business and technical teams.
• Excellent stakeholder management, communication, and influencing capabilities; adept at presenting governance findings and recommendations to both business and technical audiences.
• Experience in designing and maintaining governance metrics, data quality scorecards, or asset certification frameworks.
• Benefits starting from Day 1!
• Retirement Plan Matching
• Flexible Paid Time Off
• Wellness Support Programs and Resources
• Parental & Caregiver Leaves
• Fertility & Adoption Support
• Continuous Development Support Program
• Employee Assistance Program
• Allyship and Inclusion Communities
• Employee Recognition … and more!
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