Consultant, FinOps Strategy, Governance & Value Realization

TransUnion's Job Applicant Privacy Notice Team Overview The GTDA FinOps Strategy, Governance & Value Realization team sits at the intersection of technology, business, and finance. The team partners across Cloud Engineering, Product Engineering, Platform Engineering, Finance, and business leadership to improve cost transparency, capacity planning, optimization accountability, and investment value realization. Its mission is to build trusted reporting, governance standards, and decision-ready insights that help TransUnion manage cloud and infrastructure spend more effectively while enabling sustainable technology growth

This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week. Role Overview And Core Responsibilities We are looking for a data-driven, analytically minded Consultant to join TransUnion’s Enterprise Cloud Economics / FinOps team. This role sits at the intersection of technology, business, and finance, helping TransUnion improve how it understands, governs, and optimizes cloud, AI, and infrastructure spend.In this role, you will transform raw cost, usage, and capacity data into transparent dashboards, actionable insights, and measurable business value. You will partner closely with Technology Strategy & Governance, Cloud Engineering, Finance, Product Engineering, Platform Engineering, and business stakeholders to support FinOps governance, cost transparency, capacity planning, optimization tracking, and executive reporting.This is a high-visibility, high-impact role for someone who enjoys connecting technical data with financial discipline and business decision-making in a large-scale enterprise technology environment.Build and maintain cloud, AI, and infrastructure cost dashboards for leadership, engineering, finance, and business stakeholders. Analyze cloud spend, infrastructure usage, capacity trends, cost variances, and optimization opportunities. Translate technical cost and capacity data into business and financial insights that support executive decision-making. Produce monthly reporting inputs, executive scorecards, and governance materials for cloud and AI economics. Develop capacity utilization reporting across cloud compute, storage, database, network, server, VMware, middleware, and related infrastructure domains. Consolidate demand signals from engineering and business teams into a forward-looking view of capacity requirements. Support performance and capacity analysis by working with application and platform owners on right-sizing, configuration, query/index optimization, and infrastructure improvement opportunities. Track cloud commitments, reservations, savings plans, committed-use discounts, GPU utilization, and other capacity or consumption-based economics.