NYC Staffing
Manager, Cloud - FinOps
NYC Staffing - New York, New York, United States, 10001
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Overview
Cloud Cost & Capacity Engineering Leader
The New York Times is seeking a strategic, data-driven leader to manage the Cloud Cost & Capacity Engineering (CCCE) team. This role will enable leaders to make smart, data-informed decisions about cloud usage and empower the organization to prioritize optimization enablement at scale. You will partner deeply with engineering, SRE, finance, and product leaders to model infrastructure scenarios, enable smart investment decisions, and connect cloud usage to business value. This is a hybrid-role based in our New York City office. Responsibilities: Lead the development of cloud cost forecasting frameworks that integrate historical trends, run-rate baselines, strategic growth, and buffer scenarios. Partner with Finance and mission leads to align cloud forecasts with business plans and infrastructure intake. Drive scenario modeling for new initiatives and evolving projects, offering clear guidance on likely cost impacts and budgetary needs. Own the strategic modeling capability within the CCCE function; partner with data scientists as needed to deepen forecasting accuracy. Identify efficiency opportunities using FinOut, benchmarking, and anomaly detection tools. Guide engineering teams toward cost-aware design decisions and low-effort optimizations. Deliver mission-level and service-level Showback+ dashboards and variance insights. Translate usage and efficiency patterns into clear business narratives and recommendations. Define and operationalize directional Cost to Serve metrics across product and platform. Contribute to quarterly reviews and planning by embedding these insights into team-level and mission-level discussions. Act as a strategic liaison across Engineering, Finance, and Product to build trust and shared understanding of cloud usage and value. Foster adoption of Showback+ practices that promote accountability through visibility, not chargebacks. Standardize practices for tagging, cloud intake planning, and cost change management across teams. Ensure the quality and reliability of data used in reporting, forecasting, and planning. Basic Qualifications: 5+ years in leading cloud operations, FinOps, engineering strategy, or technical program management. 3+ years in a leadership or subject-matter expert capacity, leading analytical programs, ideally in a cloud-native or platform engineering context. Demonstrated ownership of cloud forecasting frameworks, cost modeling, or scenario planning to guide infrastructure investment decisions. Experience in partnering across engineering, product, and finance teams to drive cost visibility and informed decision-making. Preferred Qualifications: Deep familiarity with cloud platforms (AWS, GCP) and understanding of their pricing and usage models. Proficiency in cloud cost tools (e.g., FinOut, Cloudability) Advanced analytical and data visualization skills (e.g., Google Sheets, Tableau, Excel). Cloud Provider and/or FinOps Certifications The annual base pay range for this role is between: $152,000
$190,000 USD
The New York Times is seeking a strategic, data-driven leader to manage the Cloud Cost & Capacity Engineering (CCCE) team. This role will enable leaders to make smart, data-informed decisions about cloud usage and empower the organization to prioritize optimization enablement at scale. You will partner deeply with engineering, SRE, finance, and product leaders to model infrastructure scenarios, enable smart investment decisions, and connect cloud usage to business value. This is a hybrid-role based in our New York City office. Responsibilities: Lead the development of cloud cost forecasting frameworks that integrate historical trends, run-rate baselines, strategic growth, and buffer scenarios. Partner with Finance and mission leads to align cloud forecasts with business plans and infrastructure intake. Drive scenario modeling for new initiatives and evolving projects, offering clear guidance on likely cost impacts and budgetary needs. Own the strategic modeling capability within the CCCE function; partner with data scientists as needed to deepen forecasting accuracy. Identify efficiency opportunities using FinOut, benchmarking, and anomaly detection tools. Guide engineering teams toward cost-aware design decisions and low-effort optimizations. Deliver mission-level and service-level Showback+ dashboards and variance insights. Translate usage and efficiency patterns into clear business narratives and recommendations. Define and operationalize directional Cost to Serve metrics across product and platform. Contribute to quarterly reviews and planning by embedding these insights into team-level and mission-level discussions. Act as a strategic liaison across Engineering, Finance, and Product to build trust and shared understanding of cloud usage and value. Foster adoption of Showback+ practices that promote accountability through visibility, not chargebacks. Standardize practices for tagging, cloud intake planning, and cost change management across teams. Ensure the quality and reliability of data used in reporting, forecasting, and planning. Basic Qualifications: 5+ years in leading cloud operations, FinOps, engineering strategy, or technical program management. 3+ years in a leadership or subject-matter expert capacity, leading analytical programs, ideally in a cloud-native or platform engineering context. Demonstrated ownership of cloud forecasting frameworks, cost modeling, or scenario planning to guide infrastructure investment decisions. Experience in partnering across engineering, product, and finance teams to drive cost visibility and informed decision-making. Preferred Qualifications: Deep familiarity with cloud platforms (AWS, GCP) and understanding of their pricing and usage models. Proficiency in cloud cost tools (e.g., FinOut, Cloudability) Advanced analytical and data visualization skills (e.g., Google Sheets, Tableau, Excel). Cloud Provider and/or FinOps Certifications The annual base pay range for this role is between: $152,000
$190,000 USD