Solutions Delivery Lead

Overview

It’s More Than a Career, It’s a Mission.

Our people are the foundation of our success. By joining Sarah Cannon Research Institute (SCRI), a subsidiary of McKesson, you will have the opportunity to be part of one of the largest community-based cancer programs to advance oncology treatments and improve outcomes for cancer patients across the globe. We seek mission-driven candidates who want 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.

• 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, ensuring each pilot has a clear, 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.

Mandatory: The following are mandatory expectations of all SCRI employees.

• Practices and adheres to the “Code of Conduct” philosophy and “Mission and Value Statement.”
• During your employment with SCRI, you will be routinely assigned training requirements. You are expected to complete any training assignments by the due date.

• 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,…