Sr. Data Governance Analyst & Steward
Sarah Cannon Research InstituteAbout the role
It’s More Than a Career, It’s a Mission.
Our people are the foundation of our success. By joining our growing team at Sarah Cannon Research Institute (SCRI), a subsidiary of McKesson, you will have the opportunity to become part of one of the largest community-based cancer programs to advance oncology treatments and improve outcomes for cancer patients across the globe. We look for mission-driven candidates who have a desire to advance the fight against cancer and make a difference in the lives of patients diagnosed with cancer every day.
Our Mission
People who live with cancer – those who work to prevent it, fight it, and survive it – are at the heart of every decision we make. Bringing the most innovative medical minds together with the most passionate caregivers in their communities, we are transforming care and personalizing treatment. Through clinical excellence and cutting-edge research, SCRI is redefining cancer care around the world.
We are seeking a highly skilled Sr. Data Governance Analyst & Steward to establish and uphold rigorous data governance practices that enable SCRI’s oncology research operations to rely on consistent, accurate, compliant data. The Sr. Data Governance Analyst & Steward is responsible for ensuring that SCRI’s critical data assets are well‑defined, high‑quality, trusted, compliant, and effectively used across the research and clinical enterprise. The role blends data governance execution, business data stewardship, and data quality oversight, acting as both a subject‑matter expert and liaison between technical teams and business stakeholders.
Duties and Responsibilities:
Duties include but are not limited to:
Data Governance Framework Execution
Implement and maintain SCRI‑aligned data governance policies, standards, and controls.
Ensure adherence to Enterprise Data Governance (EDG) guidelines.
Participate in governance councils, stewardship forums, and related governance committees.
Communicate governance priorities, risks, and performance metrics to leadership
Critical Data Element (CDE) and Business Data Stewardship
Serve as the subject matter expert for oncology or research‑related data domains.
Understand SCRI data needs and business processes.
Ensure consistent and compliant data usage across the organization.
Promote the use of standardized definitions, reference data, and sound data practices
Identify and maintain the list of CDEs within the domain; ensure ownership, lineage, and quality controls are in place.
Metadata Management
Define, curate, and maintain business metadata, glossaries, and data definitions.
Develop and maintain critical data element (CDE) documentation and classifications.
Maintain metadata in the enterprise catalog (e.g., Alation) to improve discoverability and clarity.
Data Quality Oversight
Create and maintain proactive and reactive data quality rules.
Profile data and define business rules for specific domains.
Review and monitor data quality dashboards/scorecards.
Identify, log, triage, and resolve data quality issues; oversee remediation and cleanse activities.
Maintain data quality issue repository and ensure timely resolution
Data Lineage, Cataloging & Accessibility
Document end‑to‑end lineage of data assets, including source‑to‑target flows and transformations.
Partner with engineering, BI, and architecture teams to ensure accurate lineage and system inventory
Data Literacy & Awareness
Support organizational efforts to promote data literacy, governance awareness, and sound data practices.
Contribute to training materials and educational content related to governance, metadata, and data quality.
Knowledge: A body of information needed to perform tasks; May be obtained through education, training or experience.
Bachelor’s degree in Business Analytics, Organizational Management, Information Systems, or related field.
Deep knowledge of data governance, stewardship, metadata management, and data quality practices.
7+ years of experience as a Data Steward or Business Systems Analyst, preferably in healthcare industry.
Strong understanding of healthcare and oncology data (preferred or required).
Experience in data governance, data stewardship, data quality, or data management disciplines
Exper
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