Enterprise Software & AI Governance Analyst

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.

• 5+ years of experience in software asset management, SaaS operations, IT finance, or data/analytics roles with direct exposure to enterprise software licensing
• Hands-on experience working with REST APIs to authenticate, query, and extract data from SaaS platforms, with the ability to normalize and combine JSON and CSV data into unified datasets (Python or SQL proficiency is a plus, but not required)
• Strong experience building dashboards and analytical reports in Power BI, including data modeling and connecting to multiple SaaS data sources
• Familiarity with Microsoft Fabric, including Lake houses, Dataflows, and Pipelines, for ingesting, transforming, and managing cloud and SaaS usage data at scale
• Proven ability to manage and maintain enterprise software license inventories, including entitlements, utilization, renewals, and vendor relationships in complex environments
• Strong analytical and financial acumen, with comfort analyzing consumption data, cost models, licensing terms, and identifying optimization opportunities
• Experience with agentic AI or developer tooling and associated cost governance is a preferred skill, as is familiarity with software licensing models including per-seat, consumption-based, enterprise agreements, and API-usage pricing, but it is not required; 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.
• Demonstrated ability to partner cross‑functionally with Finance, Procurement, IT/Engineering, and to communicate insights and recommendations clearly to senior stakeholders

• Bachelor's degree in finance, Business, Information Systems, Computer Science, or a related field
• Preferred:
  Fin Ops certification in Fin Ops for AI

• Own and maintain the enterprise software license inventory, tracking entitlements, consumption, utilization, and renewal timelines
• Connect to SaaS vendor APIs to extract usage and consumption data and normalize it into unified license and spend views
• Monitor SaaS and agentic AI tool spend against budgets and benchmarks, identifying anomalies, over‑provisioning, and under utilization
• Build and maintain Power BI dashboards and Microsoft Fabric pipelines to provide ongoing visibility into license spend, adoption, and renewals
• Support vendor reconciliation and cost optimization efforts by identifying over‑licensed or underutilized tools and recommending remediation actions
• Build and manage the enterprise renewal calendar, proactively flagging upcoming renewals to support timely negotiations while producing regular license spend reports and executive summaries for leadership review
• Partner with the AVP of Fin Ops and Enterprise Licensing on agentic AI governance, including spend guardrails, usage policies, and visibility frameworks
• Collaborate with Finance, IT Asset Management, and Engineering teams to ensure alignment and data…