Consulting Product Educator

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.

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 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. This role serves as a critical bridge between product, IT, and business teams - translating complex systems and workflows into practical, user-friendly guidance.

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.

Duties include but are not limited to:

• Product Expertise & Consultative Support
• Training & Enablement
• Adoption & Digital Transformation
• Cross-Functional Collaboration & Delivery
• Operational Excellence

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.

• 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: A body of information needed to perform tasks;
May be obtained through education, training or experience.

• Understanding of clinical research operations, workflows, and supporting technologies
• Familiarity with enterprise platforms (e.g., CTMS, Veeva Vault, Service Now, 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.

Skills:

The proficiency to perform a certain task.

• Understanding of clinical research operations, workflows, and supporting technologies
• Familiarity with enterprise platforms (e.g., CTMS, Veeva Vault, Service Now, 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.

Abilities:
An underlying, enduring trait useful for performing duties.

• Understanding of clinical research operations, workflows, and supporting technologies
• Familiarity with enterprise platforms (e.g., CTMS, Veeva Vault, Service Now, 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…