Sr Manager, Data & Analytics Platform
- 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
- 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
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