The mission (https://www.nytco.com/company/mission-and-values/) of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for. We are seeking a strategic, data-driven leader to manage the Cloud Cost & Capacity Engineering (CCCE) team – a cross-functional team that bridges finance, engineering, data, and product to turn cloud spend into strategic insight. In this role, you 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. The team you'll lead is responsible for Showback+, proactive cost anomaly detection, and cloud forecasting accuracy across NYT. This role reports to the Director of Production Infrastructure Engineering and combines financial acumen, technical fluency, and stakeholder alignment. It's ideal for someone who wants to shape how a modern media company makes high-impact, high-confidence decisions in the cloud. This is a hybrid-role based in our New York City office. You are expected to come in two days a week. Responsibilities: + Lead the development of cloud cost forecasting frameworks that integrate historical trends, run-rate baselines, strategic growth, and buffer scenarios (e.g., for Elections or Live Events). + 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, but maintain end-to-end accountability for forecast inputs, methodologies, and communication. + 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. + Demonstrate support and understanding of our value of journalistic independence (https://www.nytco.com/company/mission-and-values/) and a strong commitment to our mission to seek the truth and help people understand the world. 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. + Experience with cloud economics, budgeting, and forecasting processes 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 #LI-Hybrid REQ-018530 The annual base pay range for this role is between: $152,000 — $190,000 USD The New York Times Company is committed to being the world’s best source of independent, reliable and quality journalism. To do so, we embrace a diverse workforce that has a broad range of backgrounds and experiences across our ranks, at all levels of the organization. We encourage people from all backgrounds to apply. We are an Equal Opportunity Employer and do not discriminate on the basis of an individual's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation or affectional preference, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics. The U.S. Equal Employment Opportunity Commission (EEOC)’s Know Your Rights Poster is available here (https://www.eeoc.gov/know-your-rights-workplace-discrimination-illegal) . The New York Times Company will provide reasonable accommodations as required by applicable federal, state, and/or local laws. Individuals seeking an accommodation for the application or interview process should email reasonable.accommodations@nytimes.com. Emails sent for unrelated issues, such as following up on an application, will not receive a response. The Company will further consider qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable "Fair Chance" laws. For information about The New York Times' privacy practices for job applicants click here (https://nytco-assets.nytimes.com/2020/06/NYT\_Applicant\_Privacy\_Policy.pdf) . Please beware of fraudulent job postings. Scammers may post fraudulent job opportunities, and they may even make fraudulent employment offers. This is done by bad actors to collect personal information and money from victims. 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