Job description

At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody’s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies • 8–10+ years of experience across Technology Finance, Cloud Economics, Engineering Finance, Product Finance, FinOps, or related disciplines • Strong understanding of product economics, unit economics, cost-to-serve analysis, cloud consumption drivers, and consumption-based pricing models, including experience with platforms such as AWS, Azure, GCP, Databricks, Snowflake, MongoDB, Confluent, or similar environments • Demonstrated experience partnering with Engineering and Product organizations to translate technical decisions and operational metrics – including customers, transactions, users, API calls, compute hours, storage, and model usage – into financial insights, investment decisions, and executive narratives • Strong financial modeling and scenario analysis capabilities, with proven experience building and managing driver-based consumption models and forecasts that connect customer growth, product usage, engineering activity, infrastructure demand, and cloud spend • Executive presence and communication skills, with the ability to simplify complex technical concepts for non-technical audiences and influence without direct authority • Strong stakeholder management skills with the ability to challenge assumptions constructively and drive data-driven decision-making across Finance, Engineering, and Product teams • Demonstrated proficiency in artificial intelligence concepts, with hands-on experience using AI tools to streamline workflows and enhance operational efficiency. Proven ability to implement AI-powered solutions to solve business challenges. Demonstrates a growing awareness of AI risk management and a commitment to responsible and ethical AI use Education • Bachelor's degree in Finance, Economics, Accounting, or a related field Responsibilities Leads cloud economics strategy and financial partnership across Moody's Analytics (MA) Engineering, Product, and FinOps to drive transparency and executive decision support. • Serve as Finance's primary business partner to MA Engineering, Product, and Technology leadership for cloud spend, cloud economics, and cloud investment decisions, with a focus on understanding and translating the business and engineering drivers behind cloud spend • Build trusted relationships across Engineering, Product, FinOps, and Finance teams, representing Finance in cloud-related planning, forecasting, investment, and governance discussions • Support and enhance driver-based cloud consumption models across key MA products, connecting product usage, engineering activity, migrations, architecture decisions, and roadmap investments to cloud spend outcomes • Lead cloud forecasting activities, support annual planning and rolling forecasts, and perform driver-based variance analysis that translates cloud spend movements into executive-ready business narratives • Build product-level cloud cost transparency and attribution frameworks, partnering with FinOps teams on tagging governance, allocation methodologies, product mapping, unit economics, marketplace consumption, and commitment management • Prepare materials and actionable insights for senior Finance leadership and MA executives, presenting findings and recommendations that support cloud investment and governance decisions across Engineering and Product leadership • Challenge assumptions and influence decision-making through data-driven analysis, supporting strategic cloud governance and cloud investment reviews About the Team Our Moody's Analytics Finance team is responsible for delivering strategic financial partnership across Engineering, Product, and Technology organizations, driving cloud economics transparency, investment governance, and data-driven decision support that advances Moody's mission to decode risk and unlock opportunity. By joining our team, you will work at the forefront of cloud finance innovation, partnering with senior leaders across the organization to shape how Moody's Analytics understands, plans, and optimizes its technology investments — while contributing to the adoption of AI tools and digital capabilities that are transforming how Finance operates at scale. For US-based roles only: the anticipated hiring base salary range for this position is $135,700.00 - $196,750.00, depending on factors such as experience, education, level, skills, and location. This range is based on a full-time position. In addition to base salary, this role is eligible for incentive compensation. Moody’s also offers a competitive benefits package, including not but limited to medical, dental, vision, parental leave, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, a discounted employee stock purchase plan, and tuition reimbursement. Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, gender, age, religion or creed, national origin, ancestry, citizenship, marital or familial status, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, military or veteran status, or any other characteristic protected by law. Moody’s also provides reasonable accommodation to qualified individuals with disabilities or based on a sincerely held religious belief in accordance with applicable laws. If you need to inquire about a reasonable accommodation, or need assistance with completing the application process, please email accommodations@moodys.com . This contact information is for accommodation requests only, and cannot be used to inquire about the status of applications For San Francisco positions, qualified applicants with criminal histories will be considered for employment consistent with the requirements of the San Francisco Fair Chance Ordinance. This position may be considered a promotional opportunity, pursuant to the Colorado Equal Pay for Equal Work Act. Click here to view our full EEO policy statement . Click here for more information on your EEO rights under the law . Click here to view our Pay Transparency Nondiscrimination statement . Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.

Requirements

Must-haves

Skills and Competencies
8–10+ years of experience across Technology Finance, Cloud Economics, Engineering Finance, Product Finance, FinOps, or related disciplines
Executive presence and communication skills, with the ability to simplify complex technical concepts for non-technical audiences and influence without direct authority
Strong stakeholder management skills with the ability to challenge assumptions constructively and drive data-driven decision-making across Finance, Engineering, and Product teams
Bachelor's degree in Finance, Economics, Accounting, or a related field
Leads cloud economics strategy and financial partnership across Moody's Analytics (MA) Engineering, Product, and FinOps to drive transparency and executive decision support.
Build trusted relationships across Engineering, Product, FinOps, and Finance teams, representing Finance in cloud-related planning, forecasting, investment, and governance discussions
Support and enhance driver-based cloud consumption models across key MA products, connecting product usage, engineering activity, migrations, architecture decisions, and roadmap investments to cloud spend outcomes
Lead cloud forecasting activities, support annual planning and rolling forecasts, and perform driver-based variance analysis that translates cloud spend movements into executive-ready business narratives
Challenge assumptions and influence decision-making through data-driven analysis, supporting strategic cloud governance and cloud investment reviews
About the Team
For San Francisco positions, qualified applicants with criminal histories will be considered for employment consistent with the requirements of the San Francisco Fair Chance Ordinance.
This position may be considered a promotional opportunity, pursuant to the Colorado Equal Pay for Equal Work Act.
Click here to view our full EEO policy statement . Click here for more information on your EEO rights under the law . Click here to view our Pay Transparency Nondiscrimination statement .

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aiawsazuregcpapi

Platform: career-feeds
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off

Parental Leave