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.
The Senior Manager, Data & Analytics Platform is responsible for leading a team that provides operational support, administration, and engineering services for enterprise data and analytics platforms. This role focuses on ensuring the stability, performance, and effective use of shared analytics tools and environments that enable data engineering and analytics delivery teams.
This position is accountable for day-to-day platform operations, service reliability, and team execution, partnering closely with Analytical Modernization and other Data Technology teams to support delivery outcomes.
* Our preferred candidate would reside in the Columbus, OH area to support a hybrid work schedule, but we may consider a well-qualified full-remote candidate.
* This position requires current, unrestricted authorization to work in the United States on a permanent basis. We are unable to support or consider candidates on temporary work authorization, including but not limited to F-1 OPT, STEM OPT, CPT, or any status that requires employer sponsorship now or in the future.
Key Responsibilities:
Lead and manage a team of engineers responsible for administration, support, and operational management of data and analytics platforms (e.g., Databricks, Tableau, Power BI)
Ensure platform availability, stability, and performance through defined operational processes, monitoring, and incident management
Oversee user access, environment management, and security integration across data and analytics tools in alignment with enterprise standards
Manage platform-related service requests, support workflows, and prioritization in partnership with delivery teams
Support implementation and rollout of platform capabilities required by data engineering and analytics teams
Partner with architecture, security, and enterprise technology teams to ensure platform configurations align with standards and requirements
Monitor and manage cloud platform usage and costs related to analytics tooling, identifying opportunities for optimization
Coordinate platform upgrades, patching, and release activities in collaboration with external teams and vendors
Provide input into platform roadmap and improvements based on operational insights and team experience
Establish and reinforce standard operating procedures, documentation, and support models for platform services
People Leadership:
Directly manage and develop a team of engineers (typically 6–8 direct reports)
Set clear expectations for performance, delivery, and operational excellence
Provide coaching, feedback, and development opportunities to grow team capability
Ensure consistent execution of team processes, priorities, and service commitments
Required Experience & Skills:
Typically 9+ years of professional experience and 2+ years of management experience
Hands-on experience supporting and administering data and analytics platforms, with specific experience in Databricks, BI tools, and cloud-based data environments
Strong understanding of operational support models, including incident management, service management, and platform reliability
Experience working in cloud environments (Azure preferred) with awareness of cost and performance considerations
Ability to manage competing priorities and support requests in a fast-paced, delivery-driven environment
Strong collaboration skills with the ability to work across engineering, architecture, and business teams
Clear communication skills with the ability to translate technical concepts for different audiences
Preferred Experience:
Experience supporting modern data platforms and analytics tooling in a shared services model
Familiarity with data engineering workflows and how platform services enable delivery teams
Experience working in environments with both modern and legacy technologies
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
$131,600 - $219,400
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McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.
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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) [contact via apply link] or (Canada) [contact via apply link]. Resumes or CVs submitted to this email box will not be accepted.
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