Intelligent Solutions Delivery Lead

Success Profile

What makes a successful Intelligent Solutions Delivery Lead? Here are the top traits.

• Conceptual
• Proactive
• Problem-Solver
• Strategic
• Tech-Savvy
• Visual Thinker

Culture

Accomplish
Make a meaningful impact by using your problem-solving skills to push the boundaries of innovation in healthcare, while maintaining a healthy work-life balance.
Innovate
Foster a digital mindset to drive IT transformation across McKesson through our evolving data and technology tools.
Grow
Join a supportive environment where you can advance your career and develop both personally and professionally.

Benefits

• Coverage you can rely on - Medical, Dental, and Vision
• Health Spending Accounts
• Flexible Spending Accounts
• 401(k) (U.S.)
• Pension (Canada)
• Employee Stock Purchase Plan
• Mental Health Programs
• Flexible Schedules
• Paid Time Off
• Wellness Program
• Education Reimbursement
• Volunteer Opportunities
• Flexible Work Environment
• A culture powered by belonging

Responsibility

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.

The 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.

Duties

Lead delivery of AI and intelligent automation solutions across prioritized use cases, owning execution, technical quality, architecture integrity, release readiness, delivery scope, timelines, success criteria, risks, dependencies, and technical trade-offs to ensure successful outcomes.

• Lead delivery of AI and intelligent automation solutions across prioritized use cases, owning execution, technical quality, architecture integrity, release readiness, delivery scope, timelines, success criteria, risks, dependencies, and technical trade-offs to ensure successful outcomes.
• Translate business problems into AI designs, user stories, technical specifications, and IT design specifications using systems thinking, workflow analysis, user journey analysis, and structured problem decomposition.
• Lead iterative prototyping, pilot development, and rapid experimentation to validate solution hypotheses, while ensuring every pilot is designed with a clear and practical path to scalable, maintainable, enterprise-grade production deployment.
• Provide solution architecture leadership across AI and agent-based patterns, including retrieval-augmented generation, orchestration, copilots, integrations, data flows, and cloud or platform alignment to ensure solutions are scalable, secure, compliant, interoperable, and maintainable.
• Guide teams in building production-ready AI and automation solutions by supporting API integrations, data pipelines, transformations, workflow orchestration, deployment practices, and engineering standards for performance, reliability, and monitoring.
• Ensure required EARB and AIRB approvals are obtained and validate solution quality by reviewing test cases, confirming control adherence, supporting governance and compliance requirements, and establishing appropriate operational monitoring.
• Partner with product, architecture, security, data governance, engineering, and operations teams to align requirements, maintain delivery transparency, manage dependencies, and support structured transition to production support and ongoing operations.
• Responsible for key deliverables, including technical specifications, AI solution designs, user stories, IT Design Specification, test case reviews, EARB and AIRB submissions, architecture documentation, implementation artifacts, operational guides, and knowledge transfer materials.

Qualifications

• Bachelor's Degree
• At least 10 years of experience in technology delivery and solution implementation
• Generative AI, large language models, machine learning, and agentic architecture patterns such as retrieval-augmented generation, orchestration, and copilots.
• Intelligent automation, enterprise integration patterns
• AI governance, security and compliance frameworks
• Enterprise architecture principles, and production delivery practices in regulated or controlled environments.
• Strong solution architecture capability across AI, data, cloud, and enterprise systems, with the ability to translate business problems into implementable solution designs, user stories, and technical specifications.
• Proven delivery leadership, prototyping and pilot-to-production execution, stakeholder communication, governance coordination, test case review, control validation.
• Strong engineering oversight for APIs, data pipelines, deployment, monitoring, and operational readiness.
• Ability to operate across problem framing, solution design, architecture leadership, governance, and end-to-end delivery execution in ambiguous environments.
• Ability to balance rapid experimentation with enterprise-grade rigor, influence matrixed teams, drive clarity and accountability, and ensure solutions are scalable, secure, maintainable, and ready for production support.

About Sarah Cannon Research Institute

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.

Compensation and Benefits

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Application Instructions

This is a remote position based in the United States. Relocation is not available.