Job Description

Senior Data Governance Analyst

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve we care.

What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you.

Position Summary

As a Senior Data Governance Analyst on McKesson's Enterprise Data Governance (EDG) team, you will play a critical role in operationalizing consistent, scalable, and enterprise-aligned governance practices across our data ecosystem. You'll ensure metadata quality, drive adoption of governance platforms, support data product oversight, and provide measurable business value through strong collaboration with data owners, stewards, engineers, and business leaders.

This role blends technical data acumen with execution rigorsupporting metadata and data quality tooling, catalog enablement, and governance operationalization at enterprise scale.

Key Responsibilities

• Metadata & Data Quality Enablement
• 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.

• Glossary & Stewardship Operations
• 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.

• Data Product Governance
• Support integration of governance checkpoints within the data product lifecyclefrom 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.

• Enterprise Data Catalog Adoption
• Lead onboarding and enablement for catalog usersdata 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.

• Scorecards, Dashboards & Value Realization
• 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.

• Governance Enablement & Communications
• Deliver training and communications to reinforce governance standards, roles, and accountability expectations.
• Lead community engagement sessions and onboarding to strengthen literacy and ongoing alignment.

Education/Certifications:

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.

Minimum 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.

Preferred Skills

• 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.

Why You Should Join Us

This is a high-impact role at the center of McKesson's enterprise data strategy. You'll help operationalize data governance that enables trusted, intelligent, and insight-driven decision-making. With visibility across business units and domains, your work will directly contribute to efficiency, compliance, and business value realization.

If you're ready to turn data governance into business impact, apply now and help us shape tomorrow's healthcare.

Please note that only candidates authorized to work in the US will be considered for this position. Sponsorship is not available.

****Relocation assistance is not budgeted for this role****

We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered.

Our Base Pay Range for this position $104,800 - $174,600

McKesson is an Equal Opportunity Employer. McKesson provides equal employment opportunities to applicants and employees and is committed to a diverse and inclusive environment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age or genetic information.

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