Manager, GCP Lead Platform Tooling, Enterprise Data & Analytics

Systems Manager - GCP Lead Platform Tooling, Enterprise Data & Analytics - sought by our Utility client located in NYC - this is a hybrid role 3 days a week Job Summary The Systems Manager, GCP Lead Platform Tooling, Enterprise Data & Analytics, is a hands-on technical leader responsible for the strategy, maintenance, and observability of the platform toolchain for the ED&A Data and AI platform team. This role manages a group that ensures the reliable operation of platform services, with a primary focus on the Google Cloud Platform (GCP). The Systems Manager owns the tooling ecosystem, providing comprehensive monitoring and reporting on platform health and usage. Additionally, this role is critical in establishing clear protocols for triaging issues and routing them to the appropriate owners to ensure rapid resolution and continuous platform stability. A key forward-looking responsibility of this position is to enable, support, and maintain the Model and Agent Garden, empowering advanced AI and machine learning capabilities across the enterprise. The ideal candidate brings hands-on depth in modern cloud platform engineering, observability stacks, and tooling administration. A track record of leading technical teams, managing incident triaging, and supporting ML/AI platform ecosystems is essential. Candidates who can connect tooling strategy with day-to-day operational excellence and lead a team to run it well are encouraged to apply. Core Responsibilities Lead the platform tooling strategy, administration, and ongoing maintenance for the ED&A Data and AI platform team. Design, implement, and manage comprehensive monitoring and observability solutions across all GCP platform services. Develop and deliver consistent reporting on platform health, capacity, and usage metrics to stakeholders and leadership. Establish and oversee the triaging process for platform issues, ensuring rapid identification and accurate routing to the right owners for resolution. Enable, support, and maintain the platform's Model and Agent Garden ecosystem to support scalable ML and AI deployments. Lead and develop the Platform Tooling team, setting priorities, managing day-to-day execution, and fostering a culture of continuous improvement. Partner with data engineering, platform operations, and enterprise governance teams to align tooling capabilities with platform requirements and business use cases. Define and report on operational metrics, SLAs, and KPIs for platform tooling and observability. Management Status: This position manages people. Direct Reports: 5-7 employees (including titles such as Sr System Analyst-7145 and Systems Specialist-7719) Qualifications Required Education and Experience Master's Degree in Computer Science, Engineering, Math, Business, or a technology-centric field with a minimum of 6 years of relevant full-time work experience, or Bachelor's Degree in Computer Science, Engineering, Math, Business, or a technology-centric field with a minimum of 8 years of relevant full-time work experience. Relevant Work Experience and Qualifications Platform Leadership (Required): Demonstrated experience in platform engineering, tooling administration, or cloud operations, including time spent leading technical teams. Observability (Required): Deep expertise with observability, monitoring stacks, and reporting/analytics tooling (especially within Google Cloud environments). Incident Management (Required): Proven ability to manage incident triaging, routing and operational troubleshooting across complex data platforms. Operational SLA Management (Required): Experience defining and managing operational metrics, SLAs, or KPIs for technical environments. AI/ML Platforms (Preferred): Familiarity with deploying, maintaining, or supporting ML model platforms, agent ecosystems, or AI tooling. Industry Experience (Preferred): Background in utilities, energy, or other regulated industries with exposure to compliance and data sensitivity requirements. Cloud Architecture (Preferred): Hands-on experience with modern cloud data platforms (such as GCP, Azure, AWS, and/or Databricks) and the integration tooling that supports them. Licenses and Certifications Driver's License (Required): Must possess a valid driver's license. Technical Certifications (Preferred): Technical certification(s) in IT (e.g., Google Cloud Professional Cloud Architect or DevOps Engineer). Vertex Solutions Inc. is an Equal Opportunity Employer and does not discriminate on the basis of race, color, creed, national origin, ancestry, religion, age, citizenship, sex, marital or veteran status, disability or handicap, sexual orientation or any other basis prohibited by applicable law. #J-18808-Ljbffr Vertex Solutions Inc.