Moody's US
Moody's US | Assistant Vice President, Cloud Economics Finance Partner
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Job Highlights
Responsibilities
- 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.
- 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.
- In addition to base salary, this role is eligible for incentive compensation.
- This position may be considered a promotional opportunity, pursuant to the Colorado Equal Pay for Equal Work Act.
- 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.
- 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.
- 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 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
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.
- 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.
- 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
About the company
Moody's US
Moody's US is an employer hiring in India (sector: BFSI / Investments / Insurance).
Its finance, accounts, audit and tax openings in India are mostly in New York.
