Sr Data Goveranance Analyst

About the Role

Key Responsibilities

• Ensure consistent ingestion, stewardship, and enrichment of metadata into the enterprise data catalog (Alation).
• Enforce metadata quality standards and validate completeness, accuracy, and consistency across glossary terms, ownership, and technical metadata.
• Partner with Data Engineering, Analytics, and Product teams to embed trust indicators into pipelines, platforms, and data products.
• Maintain aligned business and enterprise glossaries per EDG standards.
• Operationalize persona-based ownership models for enterprise systems and domains.
• Support stewardship records and accountability mapping for Critical Data Elements (CDEs) across BU and Corporate teams.
• Support integration of governance checkpoints within the data product lifecycle—from design to retirement.
• Ensure ownership, metadata quality, and lineage documentation are complete and actionable.
• Track KPIs related to asset trust, adoption, reuse, and business alignment.
• Lead onboarding and enablement for catalog users—data stewards, engineers, analysts, and product teams.
• Drive metadata enrichment efforts and monitor adoption through usage dashboards and maturity metrics.
• Serve as the primary point of contact for metadata support and training across the enterprise.
• Maintain DG maturity scorecards, trust coverage metrics, and operational dashboards.
• Leverage visualization tools (Power BI, Tableau) to track adoption, quality indicators, and impact.
• Collaborate with business partners to document value outcomes, including efficiency, compliance, and risk reduction.
• Deliver training and communications to reinforce governance standards, roles, and accountability expectations.
• Lead community engagement sessions and onboarding to strengthen literacy and ongoing alignment.

Requirements

• 7+ years of experience in enterprise data management, governance, or metadata operations.
• Deep expertise with enterprise data catalog tools (preferably Alation).
• Demonstrated experience in metadata management, business glossary design, and stewardship frameworks.
• Strong understanding of data quality metrics, lineage, and data lifecycle governance.
• Proficient in SQL and data querying for analysis and validation.
• Familiarity with cloud-native data platforms such as Databricks, Snowflake, and Azure Data Services.
• Proven experience working cross-functionally in Agile/Scrum environments with excellent communication and stakeholder management skills.

Nice to Have

• Experience supporting data product governance at the enterprise level.
• Familiarity with data quality tools like Informatica DQ, Ataccama, or internal accelerators.
• Exposure to BI tools such as Power BI, Tableau, or Looker.
• Understanding of data privacy, compliance, and access control frameworks.
• Ability to manage intake, prioritize requests, and drive delivery with precision.

Qualifications

• Bachelor's degree in information management, Data Science, Business Administration, or a related field.
• Certifications in Data Governance, Data Quality, or Metadata Management (e.g., CDMP, DAMA) are preferred.

Benefits & Perks

• Competitive compensation package as part of our Total Rewards.
• Potential for annual bonus or long-term incentive opportunities.
• Pay range: $104,800 - $174,600, aligned with McKesson's pay philosophy.
• Additional benefits details available via the company's benefits page.