Sr. Manager, AI, Innovation & Operation

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 tomorrows health today we want to hear from you.

McKesson is seeking a Senior Manager AI Innovation & Operation to lead a high-impact analytics function focused on enterprise data machine learning generative AI and executive-ready business this role you will set analytics strategy guide managers and teams and deliver scalable solutions that improve decision-making operational performance and business outcomes.

This role is ideal for a hands-on data and AI leader with experience across the full machine learning lifecycle modern cloud data platforms and responsible AI governance. You will partner with business technology and executive stakeholders to shape analytics roadmaps strengthen data practices and accelerate adoption of advanced analytics AI and automation across the organization.

• Lead development and execution of analytics AI and data strategy aligned to enterprise priorities.
• Manage analytics leaders and teams delivering forecasting performance insights machine learning models and executive dashboards.
• Oversee end-to-end delivery of complex cross-functional data science analytics and AI initiatives.
• Drive adoption of modern data and AI platforms including Azure AI Foundry Snowflake Databricks and related cloud technologies.
• Guide teams through the full ML lifecycle including exploration feature engineering model development deployment monitoring and improvement.
• Establish governance practices for data quality model risk responsible AI regulatory compliance DevOps and operational controls.
• Partner with business and technology leaders to prioritize investments optimize tools and mature analytics capabilities.
• Build an inclusive high-performing team culture through coaching talent development collaboration and change leadership.

• 9 years of experience in analytics data science machine learning AI business intelligence or a related field including people leadership or management experience.
• Bachelors degree in Computer Science Data Science Engineering Statistics Analytics Information Systems or equivalent experience.
• Hands-on experience with modern data and AI stacks including cloud platforms data engineering analytics and AI/ML tools.
• Experience leading teams through the full machine learning lifecycle from use case definition through production deployment and monitoring.
• Experience with at least one major enterprise data or AI platform such as Azure AI Foundry Snowflake Databricks Azure ML or similar technologies.
• Demonstrated experience leading complex analytics AI data platform or enterprise reporting initiatives.
• Strong communication skills with experience translating technical insights into executive-level recommendations.
• Experience establishing or operating data governance model governance DevOps or compliance practices.

• Experience with generative AI architectures large language models retrieval-augmented generation prompt engineering or AI solution design.
• Experience leading AI/ML programs in regulated healthcare supply chain distribution or enterprise technology environments.
• Familiarity with MLOps CI/CD model monitoring data observability and production AI operating models.
• Experience managing budgets vendor relationships technology investments or analytics platform roadmaps.
• Experience building executive dashboards and analytics products using tools such as Power BI Tableau or similar platforms.
• Ability to influence cross-functional stakeholders and drive adoption of new analytics AI and governance practices.
• Demonstrated commitment to inclusive leadership coaching and talent development.

• Work model may be remote hybrid or office-based depending on business and team needs.
• Occasional travel may be required for team stakeholder or business meetings.
• Role requires regular use of a computer and collaboration tools for extended periods

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 McKessons 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 pleaseclick here.

Our Base Pay Range for this position

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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 McKessons 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) or (Canada) . Resumes or CVs submitted to this email box will not be accepted.

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