## About the Role

HMH is hiring a Director of FinOps to build and lead an enterprise FinOps capability focused on improving the financial management of recurring technology spend. Reporting into the CIO organization, this role is responsible for creating visibility, governance, forecasting, and optimization practices across Cloud, AI, SaaS, and other material technology services.

This is a leadership position for someone with strong technology fluency and deep FinOps, cloud financial management, or technology finance experience. It is not a cloud engineering or architecture role. The main objective is to translate consumption, demand, contracts, and technology decisions into financial insight, forecast accuracy, optimization actions, and stronger business decisions.

A key part of the role is partnering with Budget Owners and Contract Owners, while Finance, Procurement, Vendor Management, Engineering, and Architecture provide supporting collaboration. The role also supports current-state run-rate management in a hybrid environment and forward-looking economics as HMH increases its use of AWS.

## Key Responsibilities

– Own consolidated visibility into recurring technology spend across Cloud, AI, SaaS, and other major technology services.
– Build and mature the FinOps operating model, including strategy, governance, processes, standards, accountability, tagging, allocation, showback, forecasting, and optimization tracking.
– Work with Budget Owners to review actual spend, run-rate, forecast, variances, demand changes, optimization opportunities, and corrective actions.
– Partner with Contract Owners, Procurement, Vendor Management, and Finance to connect consumption and utilization data to commitments, renewals, pricing structures, and sourcing decisions.
– Identify and financially evaluate cloud optimization opportunities such as rightsizing, idle resource reduction, storage and database optimization, commitment utilization, and platform consolidation.
– Build visibility into AI economics, including model and API usage, tokens, agent execution, platform licensing, GPU or compute consumption, and other major AI services.
– Develop visibility into SaaS spend, license utilization, product tiers, overlapping capabilities, commitments, and renewal timing.
– Lead technology run-rate forecasting, budgeting support, and scenario planning.
– Maintain an optimization pipeline from opportunity identification through ownership, implementation, and validated financial realization.
– Provide the CIO and Technology Leadership Team with clear reporting on run-rate, forecasts, optimization progress, realized savings, commitments, utilization, and financial risks.

## Required Skills

– 8+ years of relevant experience in FinOps, Cloud Financial Management, TBM, technology finance, financial analytics, SaaS economics, or a related discipline.
– Experience leading or operating a FinOps or technology cost management capability at meaningful scale.
– Experience with forecasting, budgeting support, cost allocation, optimization, commitment management, variance analysis, and savings realization.
– Experience partnering with Budget Owners, Contract Owners, Finance, FP&A, Procurement, Vendor Management, and technology teams.
– Working knowledge of FinOps platforms such as Finout, CloudZero, Apptio Cloudability, CloudHealth, Harness, Kubecost, or similar tools.
– Strong analytical skills with cloud billing, SaaS licensing, contract, utilization, and technology consumption data.
– Ability to turn financial and technology data into practical recommendations and executive-level insights.
– Strong communication and stakeholder management skills.
– Working knowledge of public cloud economics and commercial models, particularly AWS.
– Familiarity with at least one additional major cloud platform.
– Understanding of how cloud architecture, engineering practices, AI adoption, SaaS usage, and technology demand affect cost.
– Comfort working with technical teams and interpreting consumption data without being responsible for solution design.
– Familiarity with AI consumption models, including APIs, tokens, models, agents, platform licenses, and compute-intensive workloads.
– Proficiency with analytical and reporting tools such as Power BI, Tableau, SQL, Python, and APIs, or similar technologies.
– Bachelor’s degree in Finance, Economics, Information Systems, Computer Science, Engineering, Data Science, Business, or a related field, or equivalent professional experience.

## Preferred Skills

– FinOps Foundation certification.
– AWS, Azure, or GCP credentials.
– Experience managing or analyzing generative AI costs, AI API and token economics, AI platform licensing, GPU infrastructure, or agentic workloads.
– SaaS optimization, software asset economics, license rationalization, and technology vendor negotiation experience.
– Experience with cloud commitments such as Savings Plans, Reserved Instances, committed-use agreements, enterprise discounts, and marketplace consumption.
– Migration economics experience, including modeling the financial impact of moving workloads from data centers to public cloud.
– Experience establishing unit economics for large digital products or technology platforms.
– TBM or technology portfolio management experience in a large enterprise technology organization.

## Cloud Platforms & Technologies

### Cloud Providers
– AWS
– Azure
– GCP

### FinOps Platforms
– Finout
– CloudZero
– Apptio Cloudability
– CloudHealth
– Harness
– Kubecost

### Reporting & Analytics
– Power BI
– Tableau
– SQL
– Python
– APIs

## FinOps Responsibilities

– Build a consolidated view of cloud, AI, SaaS, and broader technology run-rate spend.
– Establish governance for cost ownership, allocation, tagging, showback, forecasting, optimization tracking, and financial performance measurement.
– Improve visibility into actuals, budget, forecast, commitments, utilization, and major cost drivers.
– Track underutilization, overconsumption, redundant capability, and renewal exposure across contracts and services.
– Quantify cloud optimization opportunities and validate financial realization.
– Develop AI cost visibility, attribution, unit economics, and guardrails.
– Improve SaaS utilization, rationalization, consolidation, and renewal economics.
– Lead forecasting and scenario planning using demand, seasonality, roadmaps, migration activity, contract changes, and AI adoption.
– Distinguish between theoretical savings, cost avoidance, negotiated savings, and realized savings.
– Provide executive reporting on forecast performance, commitments, utilization, optimization progress, and financial risks.

## Why You Might Be Interested

This role offers the opportunity to build an enterprise FinOps capability from the ground up and shape how HMH manages recurring technology spend. The scope is broad, covering cloud, AI, SaaS, and other major technology services, with direct exposure to Budget Owners, Contract Owners, Finance, Procurement, and Technology leadership. It is well suited to someone who wants to combine financial discipline with technology fluency and influence decisions at an executive level. The position also has clear impact on forecasting accuracy, cost visibility, and realized savings across the technology portfolio.

## Useful Links

– Company Website: https://www.hmhco.com