Hiring.Camp

Senior AI Strategy Analyst

The Future of Health Starts with You

·

Yesterday

Salary
$120k – $200k
Location
Richmond, VA, USA - 9954 Mayland Drive (G100), United States of America
Workplace
Hybrid
Type
Full-time
Department
Management
Seniority
Senior
Closing date
Today
Source
Workday

Description

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve – we care.

What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow’s health today, we want to hear from you.

Senior AI Strategy Analyst

 

About the Role

McKesson is seeking a Senior AI Product Strategy Analyst to help shape and advance data, analytics, automation, and artificial intelligence products across McKesson Medical-Surgical.

In this role, you will lead the strategy, roadmap, valuation, and lifecycle management of data and AI products. You will partner with business stakeholders, technical product teams, data scientists, data architects, and developers to translate business needs into scalable solutions that improve decision-making, operational efficiency, and business value.

This position is ideal for an experienced product strategy professional who can connect AI and data capabilities with practical business opportunities while effectively communicating with both technical and non-technical audiences.

 

What You’ll Do

  • Develop and manage data and AI product strategies and roadmaps aligned with business objectives and Data, Analytics and Automation priorities.
  • Lead products through the full product lifecycle, including ideation, business case development, planning, proof of concept, pilot, MVP, launch, adoption, optimization, and retirement.
  • Identify business processes and use cases that can be improved through AI, machine learning, analytics, data products, or automation.
  • Define product requirements, priorities, success measures, and key performance indicators.
  • Build and maintain valuation and ROI models to estimate and measure product value.
  • Partner with business stakeholders to understand needs, communicate priorities, and manage expectations.
  • Coordinate the development and delivery of proofs of concept, pilots, and minimum viable products with developers, data scientists, data architects, and other technical teams.
  • Collaborate across business and technology teams to align data and AI initiatives with broader organizational goals.
  • Evaluate product performance, adoption, risks, and business outcomes and recommend improvements.
  • Present product strategies, technical concepts, and business recommendations to technical and non-technical audiences.

Minimum Requirements

  • Degree or equivalent and typically requires 7+ years of relevant experience.
  • Experience in technical product management, AI product strategy, data product management, or a closely related area.
  • Experience developing and managing product roadmaps across the product lifecycle.
  • Experience defining KPIs and developing ROI, valuation, or business-case models for technology, analytics, or data products.
  • Experience working with cross-functional business and technical teams.
  • Working knowledge of artificial intelligence, machine learning, generative AI, large language models, analytics, or data products.
  • Experience with Agile methodologies and the software or AI product development lifecycle.

 

Preferred Skills/Experience

  • Bachelor’s degree in a STEM discipline, business administration, operations research, finance, or a related field.
  • Experience with data architecture, data modeling, data warehouses, data lakes, analytics platforms, or decision science.
  • Familiarity with AI governance, responsible AI, model risk, data privacy, or AI evaluation.
  • Experience with MLOps, product lifecycle management, or AI-enabled software development.
  • Experience in healthcare, healthcare supply chain, manufacturing, distribution, or another regulated industry.
  • Strong presentation, stakeholder management, and executive communication skills.

 


We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here.

Our Base Pay Range for this position

$120,000 - $200,000

McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson’s (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind:

McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.


McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates.

McKesson job postings are posted on our career site: careers.mckesson.com.

McKesson is an Equal Opportunity Employer

 

McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson’s full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.

 

McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) [email protected] or (Canada) [email protected]. Resumes or CVs submitted to this email box will not be accepted.

Join us at McKesson!

Skills

Machine LearningAgile

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