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Sr Director Digital Transformation

Sarah Cannon Research Institute
Work at Home - Tennessee, USA (All Zones) (WTNA), United States, United Statesfull_timeVerifiedPosted 1 Jul 2025

About 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.

The Senior Director of Digital Transformation for Clinical Research Site Operations will spearhead the integration of digital technologies to enhance the efficiency and effectiveness of our clinical research processes. This role requires a visionary leader who can align technology strategies with business objectives, fostering a culture of innovation and digital excellence within the research site operations to advance therapies for patients.

Key Responsibilities:

  • Strategic Planning and Alignment: Collaborate with senior executives and research teams to integrate digital technologies, data analytics, and AI with clinical site operations, aligning these solutions with overarching business and research strategies.

  • Data and AI Vision Implementation: Develop strategy and a comprehensive vision for data and AI integration in clinical research. Identify and deploy AI-driven tools for predictive analytics, patient recruitment, and personalized medicine approaches.

  • Use Case Identification and ROI Demonstration: Identify potential use cases for digital transformation and AI within clinical research operations. Conduct thorough analysis to demonstrate the ROI and benefits to gain buy-in from stakeholders.

  • Technology and Data Architecture: Collaborate with technology delivery team for implementation of a robust data architecture that supports advanced analytics and machine learning models to optimize clinical trial processes and outcomes.

  • Process Optimization through AI: Utilize AI and machine learning to conduct comprehensive business process analysis, streamline operations, improve data integrity, and enhance patient experience.

  • Change Management and Adoption: Lead organizational change initiatives to ensure successful adoption of new technologies. Collaborate with change management team to develop and execute plans that include training, communication, and support strategies.

  • Risk Management and Compliance: Advise on the risks and benefits of digital technologies and AI in clinical research, ensuring compliance with regulatory standards and ethical guidelines.

  • Performance Metrics and Reporting: Establish key performance indicators (KPIs) for digital and AI initiatives, regularly measuring and reporting on the impact of digital transformation efforts on research productivity and quality.

  • Stakeholder Engagement and Relationship Building: Foster strong relationships with internal and external stakeholders, including technology vendors, regulatory bodies, and clinical partners, to drive collaboration and innovation.

Key Competencies:

  • Digital Clinical Research Tools and Technologies

  • Data Analytics and AI Integration

  • Innovation and Change Advocacy

  • Strategic Thinking and Problem Solving

  • Effective Communication and Stakeholder Management

  • Data-Driven Decision Making

  • Regulatory Knowledge and Compliance

  • Leadership and Team Development

Minimum Requirements:

  • 15+ years of experience in clinical research or a related field, with a strong focus on digital transformation, data analytics, and AI integration.

  • Demonstrated experience in leading digital and AI initiatives within a clinical or healthcare setting.

  • Proven track record in strategic planning, project management, and change leadership.

  • In-depth understanding of clinical research processes, regulatory requirements, and industry trends.

  • Experience with cloud platforms like AWS, Azure, or Google Cloud for scalable and secure data storage and processing

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Company

Sarah Cannon Research Institute

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