Intelligent 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. Responsibilities 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 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. Minimum 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 This is a remote position based in the United States. Relocation is not available. 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. SCRI focuses on advancing therapies for patients and is a leader in drug development. It has conducted numerous first-in-human clinical trials and contributed to pivotal research for FDA-approved cancer therapies. SCRI’s research network includes physicians enrolling patients into clinical trials at locations across the U.S. We care about the well-being of the patients and communities we serve. Our Total Rewards package includes comprehensive benefits to support physical, mental, and financial well-being. For information regarding benefits through McKesson, please review our site. As part of Total Rewards, we offer a competitive compensation package based on performance, experience, and skills, with additional compensation options such as annual bonuses or long-term incentives where applicable. We are an equal opportunity employer and value diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. #J-18808-Ljbffr McKesson