FinOps Specialist

Workday•Pleasanton, CA

1d•Hybrid

About The Position

As a 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

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).
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

Defining, designing, and implementing solutions to achieve a desired business outcome by evaluating, diagnosing, and evolving existing business processes and software technologies.
Applying metrics for evaluating economic success in the public cloud.
Analyzing or operating software systems in one of the public cloud service providers (AWS, GCP, or Azure).
Developing sophisticated metrics that feed ML-driven forecasting models.
Designing procedural frameworks that allow agentic AI tools to operate at scale.
Providing subject matter expertise to enterprise-wide initiatives.
Transforming raw cloud data into operational excellence.