Sr Manager, Data & Analytics Engineering Services

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. 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, ensuring stability and performance while collaborating with various teams to support delivery outcomes.

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
• 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

Requirements:

• 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
• 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