Director, Digital Governance
Sarah Cannon Research Institute
Role Description
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
Data Governance:
- 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.
AI Governance & Responsible Digital Innovation:
- 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.
Enterprise Digital Governance & Oversight:
- 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.
Qualifications
- 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.
- 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.
- 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.
Requirements
- This is a remote position based in the United States. Relocation and visa sponsorship are not available.
- Interested candidates should submit their application through this link . Applications will be accepted through June 16th, 2026. Please ensure all required materials are included as outlined in the posting.
Benefits
- Comprehensive benefits to support physical, mental, and financial well-being.
- Competitive compensation package determined by performance, experience, skills, equity, regular job market evaluations, and geographical markets.
- Other compensation, such as an annual bonus or long-term incentive opportunities may be offered.
Company Description
Sarah Cannon Research Institute (SCRI) is one of the world’s leading oncology research organizations conducting community-based clinical trials. Focused on advancing therapies for patients over the last three decades, SCRI is a leader in drug development.
- In 2022, SCRI formed a joint venture with former US Oncology Research to expand clinical trial access across the country.
- It has conducted more than 850 first-in-human clinical trials since its inception and contributed to pivotal research that has led to the majority of new cancer therapies approved by the FDA in the past decade.
- SCRI’s research network brings together more than 1,300 physicians who are enrolling patients into clinical trials at more than 200 locations in 20+ states across the U.S.
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