Director, Digital Governance

McKesson•Work at Home - Tennessee, USA (WTNA), TN

11d•Remote

About The Position

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.

Requirements

Bachelor’s degree in Information Systems, Computer Science, Engineering, or related field.
10+ years experience in IT governance, regulated technology environments, data governance, or enterprise risk.
Demonstrated experience operating in GxP‑regulated clinical, biotech, pharmaceutical, or healthcare environments.
Proven, hands‑on experience authoring, maintaining, and operationalizing IT SOPs and controlled documents within a regulated environment.
Demonstrated ability to define, build, and operate KPI driven governance dashboards
Strong, demonstrated expertise in Data Governance, with a track record of establishing governance frameworks, policies, and controls to ensure data quality, integrity, and compliance
Ability to communicate complex governance and risk topics clearly to executive leadership, regulators, and non‑technical stakeholders.
Demonstrated capability to operate effectively in matrixed organizations, influencing outcomes without direct authority.
Demonstrated experience partnering with Quality during inspection responses, findings remediation, and CAPAs related to data integrity

Nice To Haves

Familiarity with AI Governance concepts, including exposure to Responsible AI frameworks in regulated environments; considered a plus, with an expectation to quickly build proficiency on the job.

Responsibilities

Own and evolve the IT Governance framework for digital platforms focusing on control standards, and operational enforcement
Design and implement technical governance controls embedded in SDLC and platform delivery workflows
Actively monitor governance effectiveness using leading indicators and control health metrics, providing valuable insights for continuous improvement
Design and maintain proactive KPI dashboards that provide visibility into: Technology governance adherence, Access, auditability, and traceability controls, Third‑party and vendor digital risk posture
Support Quality‑led audits and inspections through: System‑generated evidence and dashboards, Traceability from governance design to execution, Coordinated, technology‑focused responses to findings
Define data governance frameworks aligned with enterprise guidelines. Own the IT execution of data governance, including: Metadata, lineage, and traceability standards in Alation, Data access, classification, and lifecycle controls
Ensure governance controls are implemented and monitored through platforms
Ensure digital platforms support ALCOA+ principles by design (audit trails, access controls, traceability).
Surface data integrity risks via digital risk dashboards and defined escalation paths.
Partner with Data & Analytics teams to operationalize governance through: Data catalogs, Stewardship models, Data quality monitoring
Serve as escalation point for data integrity risks impacting clinical, operational, or regulatory outcomes.
Establish and operationalize an AI Governance framework aligned with enterprise responsible AI framework
Ensure AI governance adherence is measurable, continuously monitored, and enforceable.
Embed governance into AI lifecycle processes (design, development, deployment, monitoring) in partnership with Architecture, Development, Security, and Quality teams.
Govern both vendor provided and internally developed AI capabilities.
Lead IT Governance, Data Governance, and AI Governance councils, ensuring consistent decision making across digital domains.
Support IT inspection readiness, including: Evidence preparation and traceability, Governance documentation and KPI dashboards, Coordinated IT responses during regulatory and sponsor inspections
Partner with Quality on CAPA remediation related to: IT systems, Data integrity, Technology enabled processes
Build on SOPs
Ability to operate SOPs as inspection‑defensible controls through ownership, SOP‑to‑control traceability, change impact governance, and effectiveness monitoring