Sr Manager, Data & Analytics Engineering Services

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 Engineering Services 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.

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