## About the Role

The Senior Consultant, FinOps Strategy, Governance & Value Realization is a senior individual contributor role focused on improving how TransUnion manages cloud and AI economics, infrastructure cost transparency, capacity planning, and value realization. The role sits within the GTDA FinOps Strategy, Governance & Value Realization team, which works across technology, finance, and business leadership to strengthen reporting, governance, and decision-making around infrastructure spend.

This position partners closely with Cloud Engineering, Product Engineering, Platform Engineering, Finance, and business stakeholders. Its purpose is to provide trusted reporting, support capacity and utilization planning, and help turn optimization opportunities into validated financial outcomes.

The role also helps establish governance standards, playbooks, RACIs, and escalation paths, while supporting embedded FinOps leaders with consistent data, benchmarks, and operating practices. It is a hybrid position and requires in-person work at an assigned TransUnion office location for at least two days per week.

## Key Responsibilities

– Own reporting for cloud, AI, and on-prem infrastructure spend across leadership audiences.
– Consolidate demand signals, analyze utilization trends, and support forward-looking capacity planning decisions.
– Manage optimization opportunities from identification through Finance-validated realization.
– Develop FinOps governance materials, including standards, playbooks, RACIs, reporting frameworks, and escalation models.
– Support federated FinOps teams with training, data packages, benchmarks, and operating guidance.
– Partner with engineering, finance, and business leaders to drive accountability, cost ownership, and decision-making.
– Build and maintain capacity utilization reporting across server, storage, network, VMware, database, and related infrastructure domains.
– Translate complex infrastructure and cost data into executive-ready recommendations and narratives.
– Mentor or guide junior analysts or consultants where needed.

## Required Skills

– Experience in cloud financial management, infrastructure capacity planning, IT finance, enterprise reporting, or a closely related analytical field.
– Advanced understanding of cloud and business capacity planning, including performance analysis and executive reporting.
– Strong knowledge of public cloud platforms, specifically GCP and/or AWS.
– Experience with savings plans, committed-use discounts, reservations, tagging strategies, and resource lifecycle management.
– Proficiency in Google BigQuery for large-scale cloud cost and usage analysis.
– Deep hands-on knowledge of enterprise infrastructure, including server, storage, network, virtualization (VMware), database, middleware, and common operating systems.
– Expert-level proficiency in Microsoft Excel and PowerPoint.
– Experience building and owning capacity utilization reporting across infrastructure domains.
– Ability to analyze usage statistics, create forward-looking capacity projections, and validate assumptions with stakeholders.
– Proven ability to work independently and lead complex analytical workstreams in a fast-paced, multi-priority environment.
– Strong communication and influencing skills.
– Ability to build cross-functional consensus and drive decisions in a matrixed or federated organization.

## Preferred Skills

– FinOps Foundation certification (FOCP or equivalent), or equivalent demonstrated FinOps operating model expertise.
– Scripting or automation experience with VBA, PowerShell, SQL, or Python.
– Experience with cloud cost tooling such as Harness CCM.
– Experience with Splunk or similar observability/analytics platforms.
– Experience integrating cloud or AI economics data into forecasting, budgeting, chargeback/showback, and savings recognition workflows.
– Experience working in a federated or matrixed technology organization across cloud engineering, product engineering, and finance.
– Familiarity with JIRA, ServiceNow/Remedy, or similar workflow tools.
– Experience with AI/ML or GPU infrastructure economics and governance.
– Experience in cloud cost automation, anomaly detection, or agent-based FinOps tooling.

## Cloud Platforms & Technologies

### Cloud Providers
– Google Cloud Platform (GCP)
– Amazon Web Services (AWS)

### FinOps Platforms
– Harness CCM

### Data & Analytics
– Google BigQuery
– Splunk

### Programming Languages / Scripting
– VBA
– PowerShell
– SQL
– Python

### Collaboration / Workflow Tools
– JIRA
– ServiceNow
– Remedy

### Infrastructure / Enterprise Technologies
– VMware
– Server infrastructure
– Storage infrastructure
– Network infrastructure
– Database infrastructure
– Middleware
– Common operating systems

## FinOps Responsibilities

– Own trusted reporting for cloud, AI, and on-prem infrastructure spend.
– Support cloud and AI capacity planning through demand consolidation and utilization analysis.
– Manage optimization opportunities through identification, validation, and realization.
– Establish governance standards, reporting structures, playbooks, RACIs, and escalation models.
– Enable federated FinOps practices through training, benchmarks, and consistent operating guidance.
– Support enterprise planning workflows such as forecasting, budgeting, chargeback/showback, and savings recognition.
– Help improve cloud cost transparency, accountability, and decision-ready insights.

## Benefits

– Hybrid work arrangement with at least two in-office days per week.
– Work/life flexibility.
– Access to resources that support collaboration across global teams.
– Professional development support.
– Opportunity to work on pioneering products and cutting-edge technology.

## Useful Links

– LinkedIn: https://www.linkedin.com/jobs/view/4475961700
– Application Link: https://www.linkedin.com/jobs/view/4475961700

## Why You Might Be Interested

This role offers the opportunity to work at the intersection of cloud economics, finance, and engineering in a senior individual contributor capacity. It is well suited to someone who enjoys building trusted reporting, improving governance, and turning infrastructure data into executive-level decisions. The position also provides broad cross-functional exposure across cloud engineering, product engineering, platform engineering, finance, and business leadership. For candidates with FinOps, capacity planning, and enterprise reporting experience, it presents a chance to influence how cloud and AI spend is managed at scale.