# Senior Consultant, FinOps Strategy, Governance & Value Realization

**Company:** TransUnion
**Location:** Pune Division, Maharashtra, India
**Work Arrangement:** Hybrid, with at least two days per week in a TU office location

## About the Role

This senior individual contributor role sits within the GTDA FinOps Strategy, Governance & Value Realization team. The group works across technology, finance, and business leadership to improve cloud and AI spend visibility, capacity planning, optimization accountability, and value realization.

The position is focused on building trusted reporting, governance standards, and decision-ready insights that support more effective management of cloud infrastructure and AI spend. It partners closely with Cloud Engineering, Product Engineering, Platform Engineering, Finance, and business stakeholders.

The role also supports a federated FinOps operating model by enabling embedded FinOps leaders with training, benchmarks, data packages, and consistent practices. It is designed to help drive cost ownership, executive reporting, and sustainable technology growth.

## Key Responsibilities

– Own reporting for cloud, AI, and on-premises infrastructure spend across leadership audiences.
– Consolidate demand signals, analyze utilization trends, and support forward-looking capacity decisions.
– Manage cost optimization opportunities from identification through Finance-validated realization.
– Build governance processes, playbooks, RACIs, reporting standards, and escalation paths.
– Support embedded FinOps leaders with training, benchmark data, and operating guidance.
– Partner with engineering, finance, and business stakeholders to strengthen accountability and cost ownership.
– Mentor or guide junior analysts or consultants.
– Work independently on complex analytical workstreams in a fast-paced, multi-priority environment.

## Required Skills

– Experience in cloud financial management, infrastructure capacity planning, IT finance, enterprise reporting, or a related analytical field.
– Advanced knowledge of cloud and business capacity planning, including performance analysis and executive reporting.
– Advanced experience with public cloud platforms, specifically GCP and/or AWS.
– Knowledge of savings plans, committed-use discounts, reservations, tagging strategies, and resource lifecycle management.
– Proficiency in Google BigQuery for querying, modeling, and analyzing cloud cost and usage data at scale.
– Strong understanding of enterprise infrastructure, including servers, storage, networking, virtualization (VMware), databases, middleware, and common operating systems.
– Expert-level proficiency in Microsoft Excel and PowerPoint.
– Experience building and maintaining capacity utilization reporting across storage, server, VMware, database, and network infrastructure.
– Ability to interpret usage statistics, develop forward-looking capacity projections, and validate assumptions with stakeholders.
– Strong influencing and communication skills, with the ability to translate complex infrastructure and cost data into executive-ready recommendations.
– 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 experience.
– 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 or analytics platforms.
– Experience integrating cloud and 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 systems.
– Experience with AI/ML or GPU infrastructure economics and governance.
– Background in cloud cost automation, anomaly detection, or agent-based FinOps tooling.

## Cloud Platforms & Technologies

### Cloud Providers
– GCP
– AWS

### FinOps Platforms
– Harness CCM

### Data & Analytics
– Google BigQuery
– Splunk

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

### Infrastructure & Enterprise Technologies
– VMware
– Servers
– Storage
– Networking
– Databases
– Middleware
– Common operating systems
– AI infrastructure
– GPU infrastructure
– AI/ML

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

### Productivity Tools
– Microsoft Excel
– Microsoft PowerPoint

## FinOps Responsibilities

– Own trusted reporting for cloud, AI, and on-prem infrastructure spend.
– Improve cost transparency across leadership levels.
– Support capacity planning through usage trend analysis and demand consolidation.
– Manage optimization opportunities through validation and realization.
– Build governance standards, reporting controls, playbooks, and escalation models.
– Support a federated FinOps model with training, benchmarks, and consistent operating practices.
– Contribute to forecasting, budgeting, chargeback/showback, and savings recognition where applicable.
– Support cloud and AI economics governance, including cost accountability and resource lifecycle management.

## Why You Might Be Interested

This role offers the opportunity to work at the intersection of cloud economics, infrastructure planning, finance, and executive decision-making. It is suited to someone who enjoys building reporting frameworks, improving governance, and turning complex usage data into clear recommendations. The position also provides exposure to cloud and AI spend management across multiple engineering and business functions. With a hybrid work setup and a cross-functional scope, it may appeal to professionals who want a highly visible FinOps role with broad organizational impact.

## Useful Links

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