Sr. FinOps Specialist

Workday•Pleasanton, CA

2d•$106,400 - $195,100•Hybrid

About The Position

At Workday, our FinOps organization is doing far more than just managing cloud spend—we are engineering the future of cloud economics. As we expand our impact across Workday’s multi-cloud ecosystem on AWS and GCP, our team is leveraging a cutting-edge stack that includes agentic AI tools and sophisticated machine learning models to automate planning, precision forecasting, and cost optimization at a massive enterprise scale. We are a highly motivated, elite group of experts dedicated to moving beyond traditional reporting and into the realm of predictive, autonomous cloud orchestration. If you are a visionary professional eager to apply advanced technology to complex financial challenges, we invite you to help us redefine what’s possible in the FinOps space. As a Sr. FinOps Specialist at Workday, you will be the connective tissue between our cutting-edge technical capabilities and our strategic financial objectives. You won't just document workflows; you will diagnose and re-engineer the DNA of our cloud-native operations across AWS and GCP to drive efficiency improvements at high speed. In this role, you will develop the sophisticated metrics that feed our ML-driven forecasting models and design the procedural frameworks that allow our agentic AI tools to operate at scale. We are looking for a high-potential professional ready to provide subject matter expertise to our enterprise-wide initiatives, transforming raw cloud data into the operational excellence that fuels Workday’s global impact.

Requirements

5+ years experience in cloud cost management, platform engineering, or related fields.
5+ years experience with analytical tools like Looker, Tableau and Jupyter Notebooks for data manipulation and visualization.
3+ years experience with public cloud infrastructure technologies.
2+ years experience using tools and practices to supervise and analyze cloud costs, finding opportunities for optimization and efficiency.
2+ years of experience in defining public cloud KPI’s and working with engineering teams to automate reporting of critical metrics.
3+ years' experience defining, designing, and implementing solutions to achieve a desired business outcome by evaluating, diagnosing, and evolving existing business processes and software technologies, and by applying metrics for evaluating economic success in the public cloud.
1+ year of experience analyzing or operating software systems in one of the public cloud service providers (AWS, GCP, or Azure).
Bachelor's degree or equivalent work experience
Outstanding written, visual representation, and verbal communication skills.
Strong ability to establish relationships, influence without authority, and drive alignment across teams with varied strengths and leadership levels.
Outstanding organizational, interpersonal, and negotiation skills; flexible and adaptable; able to work in ambiguous situations.
Passion to serve our stakeholders and a commitment to delivering high-quality results.
Proficient in data analysis and planning and modeling tools, dbt, Lightdash, Adaptive Planning, Google Sheets and Excel.

Nice To Haves

Six Sigma certification is highly desirable.

Responsibilities

Develop sophisticated metrics that feed ML-driven forecasting models.
Design procedural frameworks for agentic AI tools to operate at scale.
Provide subject matter expertise to enterprise-wide initiatives.
Transform raw cloud data into operational excellence.
Diagnose and re-engineer cloud-native operations across AWS and GCP to drive efficiency improvements.
Supervise and analyze cloud costs, finding opportunities for optimization and efficiency.
Define public cloud KPIs and work with engineering teams to automate reporting of critical metrics.
Define, design, and implement solutions to achieve desired business outcomes by evaluating, diagnosing, and evolving existing business processes and software technologies.
Apply metrics for evaluating economic success in the public cloud.