Sr Manager, Data & Analytics Engineering Services
Role details
Job location
Tech stack
Job description
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., * 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
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
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
Benefits & conditions
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, pleaseclick here.
Our Base Pay Range for this position
$125,700 - $209,500
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