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Senior Product Analyst - Clinical Research Products

Job in Nashville, Davidson County, Tennessee, 37247, USA
Listing for: McKesson
Full Time position
Listed on 2026-06-19
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

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 patients worldwide. We look for 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.

Summary

The Senior Product Analyst – Digital Transformation (CRO) 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 within SCRI Development Innovations, a Contract Research Organization (CRO). 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.

Duties & 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.
  • Participate in 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, release planning, and UAT.
  • Ensure solutions align with enterprise data strategy, integration needs, 21 CFR Part 11 requirements 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.
Knowledge
  • Knowledge of Agile, SDLC, and regulatory considerations in clinical research environments (21 CFR Part 11).
  • 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 research applications vendors such as Veeva, Medidata, Oracle, etc.
  • Ability to do hands‑on POC with AI tools, ROI analysis for product initiatives, and iterate based on real user and system feedback.
Skills
  • 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.
Abilities
  • 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…
Position Requirements
10+ Years work experience
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