Sr. Managing Consultant - Technology Value Management

International Business Machines Corporation; Boston (MA); Remote; USD 180,000 - 240,000; Full time

Job summary

International Business Machines Corporation in the United States seeks a Senior Managing Consultant to make technology cost transparent and defensible for CIOs and CFOs, across cloud and operating model engagements. You will design TBM taxonomy, cloud cost allocation, and FinOps practices to drive cost efficiency.

You will build budgets, benchmarks, and business cases, lead a consulting team, and collaborate with cloud and operating model colleagues on joint engagements.

Responsibilities

• Design technology cost transparency using the TBM taxonomy, mapping general ledger cost through to applications and services.
• Define the cloud cost allocation, showback and chargeback model that client finance and platform teams then run under the FinOps Foundation framework.
• Design the TBM and FinOps practice that keeps those models running: roles, decision rights, review cadence and a maturity path the client can follow after the engagement ends.
• Identify where cloud and software spend can be reduced, separating one-off savings from structural efficiency that holds across a budget cycle.
• Define unit cost metrics such as cost per transaction or per customer, and express cloud placement decisions in those terms.
• Bring AI model and inference cost into the same taxonomy, and test token yield: whether AI use cases remain economically viable at production volume.
• Build technology budgets and forecasts with client finance, and prioritize investment across run, grow and transform.
• Define how TBM and FinOps platforms are used across the engagement, separating what the platform delivers as standard from the taxonomy, allocation and governance work it can't do.
• Benchmark technology spend against defensible peer sets, without letting the benchmark become the target.
• Prepare software license positions ahead of renewal, timed to the negotiating window.
• Track benefits realization against the baseline set in the business case through to the financial statements.
• Build technology and AI business cases from a measured baseline of how the work runs today, the cost of controls and compliance, so the return a client is promised survives a risk review.
• Manage a team of consultants and work alongside cloud and operating model colleagues on joint engagements.

Job description

As Senior Managing Consultant in Technology Value Management, you make the cost and return of a client's technology visible and defensible to both the chief information officer and the chief financial officer. You bring that discipline into cloud and operating model engagements, so every placement and sourcing recommendation carries a fully burdened unit cost.

• Design technology cost transparency using the Technology Business Management taxonomy, mapping general ledger cost through to applications and services.
• Define the cloud cost allocation, showback and chargeback model that client finance and platform teams then run under the FinOps Foundation framework.
• Design the TBM and FinOps practice that keeps those models running: roles, decision rights, review cadence and a maturity path the client can follow after the engagement ends.
• Identify where cloud and software spend can be reduced, separating one-off savings from structural efficiency that holds across a budget cycle.
• Define unit cost metrics such as cost per transaction or per customer, and express cloud placement decisions in those terms.
• Bring AI model and inference cost into the same taxonomy, and test token yield: whether AI use cases remain economically viable at production volume.
• Build technology budgets and forecasts with client finance, and prioritize investment across run, grow and transform.
• Define how TBM and FinOps platforms are used across the engagement, separating what the platform delivers as standard from the taxonomy, allocation and governance work it can't do.
• Benchmark technology spend against defensible peer sets, without letting the benchmark become the target.
• Prepare software license positions ahead of renewal, timed to the negotiating window.
• Track benefits realization against the baseline set in the business case through to the financial statements.
• Build technology and AI business cases from a measured baseline of how the work runs today, the cost of controls and compliance, so the return a client is promised survives a risk review.
• Manage a team of consultants and work alongside cloud and operating model colleagues on joint engagements.

This job can be performed from anywhere in the US.