Enterprise Software & AI Governance Analyst

Lead enterprise software and AI tooling license governance by building data-driven visibility into usage, cost, and renewals across a complex and rapidly evolving SaaS portfolio.

• 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 underutilization
• 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 FinOps 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 accuracy across systems and records

About the Team This role sits within the FinOps & Technology Finance function, partnering closely with technology, finance, and engineering stakeholders across the organization. The team focuses on driving cost transparency, governance, and optimization across enterprise software and emerging AI tooling, enabling the business to scale responsibly while maximizing value from its technology investments.

Do you have experience in Vendor relationship building?, Do you have a Bachelor’s degree?, * 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 Lakehouses, 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

Education

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

3.63.6 out of 5 stars New York, NY $99,200 - $143,900 a year - Full-time, Pulled from the full job description

• Tuition reimbursement
• Employee stock purchase plan
• Parental leave
• 401(k)
• Health insurance
• Paid time off
• Employee discount, For US-based roles only: the anticipated hiring base salary range for this position is $99,200.00 - $143,900.00, 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.

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.