Consulting Product Educator

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 Consulting Product Educator is responsible for driving successful adoption and utilization of SCRI’s clinical research technologies by combining deep product expertise with user-focused training and consultative support. At the P4 level, this individual operates with a high degree of independence, partnering cross‑functionally to support digital transformation initiatives, including AI‑enabled solutions, and ensuring end users are equipped to effectively apply tools in their day‑to‑day work. Success in this role is measured by user adoption, workflow optimization, and overall impact on business operations – not just delivery of product capabilities. Product Expertise & Consultative Support Serves as a subject matter expert across clinical research systems, workflows, and integrations. Partners with product managers, IT, and business stakeholders to understand system capabilities and upcoming enhancements. Provides consultative guidance to end users and teams on how to effectively leverage tools within real‑world workflows. Supports troubleshooting, issue resolution, and practical application of system functionality. Designs and delivers engaging training programs (live, virtual, and on‑demand) tailored to varied user audiences. Develops clear and user‑friendly enablement materials including job aids, quick reference guides, and documentation. Facilitates workshops, onboarding sessions, and office hours to support continuous learning and adoption. Translates complex technical concepts into simple, actionable guidance for non‑technical users. Adoption & Digital Transformation Drives adoption of enterprise platforms and digital solutions, ensuring sustainable usage across business functions. Identifies gaps in user adoption, workflow inefficiencies, and training opportunities. Partners with stakeholders to support rollout and enablement of new tools, features, and AI‑driven capabilities. Collects and synthesizes user feedback to inform product improvements and prioritize enhancements. Cross‑Functional Collaboration & Delivery Collaborates with cross‑functional teams (Clinical, Finance, IT, Quality) to align product usage with business goals. Supports system implementation activities including UAT, configuration validation, and deployment readiness. Facilitates workshops and working sessions to align workflows, requirements, and user needs. Contributes to continuous improvement efforts related to training, documentation, and product experience. Operational Excellence Manages multiple priorities and initiatives in a fast‑paced environment. Tracks and reports on adoption metrics, training effectiveness, and user engagement. Ensures timely completion of deliverables and alignment with project timelines. Performs other duties as assigned. Mandatory Expectations Practices and adheres to the Code of Conduct philosophy and Mission and Value Statement. Completes routine training assignments by the due date. Minimum Qualifications 5+ years of relevant experience. Experience supporting healthcare, life sciences, or clinical research environments required. Experience delivering training, enablement, or user-facing support required. Experience supporting digital transformation or AI‑enabled initiatives strongly preferred. Experience working with enterprise clinical systems (CTMS, Veeva, etc.) strongly preferred. Experience in consultative or stakeholder-facing roles strongly preferred. Knowledge Understanding of clinical research operations, workflows, and supporting technologies. Familiarity with enterprise platforms (e.g., CTMS, Veeva Vault, ServiceNow, SAP) and system integrations. Knowledge of Agile methodologies, SDLC, and product lifecycle processes. Awareness of digital transformation initiatives, including AI, automation, and data-driven decision-making. Knowledge of AI‑assisted learning methodologies and adult learning principles. Understanding of prompt engineering fundamentals for business users. Knowledge of AI‑driven content creation, knowledge management, and learning technologies. Understanding of AI governance, data privacy, copyright, and responsible AI usage in enterprise environments. Location & Benefits This is a remote position based in the United States. Relocation and visa sponsorship are not available. Equal Opportunity Statement 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. Applications will be accepted through July 16th, 2026. #J-18808-Ljbffr McKesson’s Corporate