Senior Product Analyst

Sarah Cannon Research Institute

About The Position

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. Summary The Senior Product Analyst – Digital Transformation plays a critical role in advancing SCRI’s digital strategy by translating business priorities into actionable solutions. Serving as the bridge between business stakeholders and IT delivery teams, this role drives operational excellence, data integrity, and innovation across HR, Finance, IT, and Quality. A key focus is shaping and enabling AI-driven transformation opportunities that deliver measurable business outcomes, with a strong emphasis on hands-on delivery, rapid experimentation, and learning-by-doing through applied digital and AI solutions.

Requirements

Knowledge of Agile, SDLC, and regulatory considerations in clinical research environments
Awareness of data governance, interoperability standards, and digital adoption analytics
Familiarity with coding principles, AI Agentic/automation tools (hands-on preferred), APIs, with the ability to independently configure and test solutions
Knowledge of AWS, Azure, and modern framework in addition to enterprise tools such as SAP, Sales Force etc.
Ability to do hands on POC with AI tools, ROI analysis for product initiatives, and iterate based on real user and system feedback
Advanced analytical and problem-solving skills to identify business problems, define solution options, and consult with stakeholders to deliver impactful outcomes
Proficiency with Microsoft Copilot, AI Agents, and project management tools e.g., Jira, Confluence, Planview, Smartsheets
Strong communication skills to translate business needs into clear technical requirements and simplify technical concepts for business stakeholders, while influencing decisions and achieving alignment
Skilled in requirements traceability, validation, and driving cross-functional alignment
Experience using process-mining and workflow analysis to uncover automation opportunities, and rapidly test those opportunities through prototypes or pilots
Convert strategy into execution through structured digital and AI-enabled transformation
Collaborate effectively with leaders, product owners, and delivery teams across functions
Apply emerging digital capabilities to improve processes and deliver measurable results, by defining, building, and iterating on solutions directly
Thrive in fast-paced environments with competing priorities and continuous innovation
Committed to learning, quality, and advancing SCRI’s mission, through applied, hands-on delivery and continuous skill development
5–7+ years in product or business analysis within dynamic digital transformation environments
Demonstrated success supporting healthcare or life sciences product initiatives
Ability to rapidly learn new business domains and processes to build strong partnerships
Proven track record driving technology adoption and identifying high-value AI opportunities, including directly building or piloting solutions
Strong analytical skills with experience reporting progress and outcomes to leadership
Experience building low/no-code or AI-enabled proof-of-concept solutions to validate ideas before scale, with personal ownership of prototypes, pilots, or MVPs

Responsibilities

Partner with business and IT teams to gather, document, and prioritize requirements, while owning end-to-end problem discovery through pilot delivery for assigned initiatives
Facilitate cross-functional workshops to identify AI-enabled use cases and iteratively build prototypes, actively configuring, testing, and refining solutions hands-on
Translate strategy into user stories, workflows, and specifications for process optimization, and contribute directly to backlog refinement, sprint planning, and UAT
Ensure solutions align with enterprise data strategy, integration needs, and responsible AI practices
Support change management, documentation, and user enablement for sustainable adoption
Document reusable patterns, playbooks, and AI/automation components to accelerate future initiatives and organizational learning

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