AVP, Cloud Finance Strategy & Partnerships

Moody's Corporation

New York (NY)

On-site

USD 136,000 - 197,000

Full time

3 days ago
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Benefits offered by this job

Incentive compensation
Medical benefits
401(k) with company match
Employee stock purchase plan
Tuition reimbursement

Job summary

Moody's Corporation is seeking a Senior Cloud Economics Finance Partner to lead cloud spend strategy and financial partnership across Engineering, Product, and FinOps. You will translate technical decisions into actionable financial insights and drive governance and investment decisions for MA products.

You will build cost transparency, develop driver-based models, and produce executive-ready narratives for senior Finance leadership.

Qualifications

  • 8–10+ years of experience across Technology Finance, Financial Planning and Analysis, Cloud Economics, Engineering Finance, Product Finance, FinOps, or related disciplines.
  • Strong understanding of cloud cost drivers and consumption-based pricing models; experience with AWS, Azure, GCP, Databricks, Snowflake, MongoDB, Confluent, or similar environments.
  • Demonstrated experience partnering with Engineering and Product to translate technical decisions into financial insights and executive narratives.
  • Strong financial modeling and scenario analysis capabilities; proven experience building driver-based financial models and forecasts.
  • Understanding of FinOps concepts, allocation methodologies, tagging governance, and cloud governance practices.
  • Executive presence and communication skills; 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 and drive data-driven decisions 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; responsible AI use.

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, translating 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 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 translating cloud spend movements into executive 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 supporting cloud investment and governance decisions.

Skills

Cloud cost management
FinOps
Executive storytelling
Financial modeling
Stakeholder mgmt
AI in finance
Cloud platforms
Cross-functional partner

Education

Bachelor's degree

Tools

AWS
Azure
GCP
Databricks
Snowflake
MongoDB
Confluent

Job description

Moody's Corporation is seeking a Senior Cloud Economics Finance Partner to lead cloud spend strategy and financial partnership across Engineering, Product, and FinOps. You will translate technical decisions into actionable financial insights and drive governance and investment decisions for MA products.

You will build cost transparency, develop driver-based models, and produce executive-ready narratives for senior Finance leadership.

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