Cloud and Health AI FinOps and Technology Value Optimization

Guidehouse Inc.; United States; On-site; USD 190,000 - 270,000; Full time

Job summary

Guidehouse Inc. is seeking a senior leader to build and lead a Cloud and AI FinOps and Technology Value Optimization capability for healthcare provider clients.

This portfolio role carries delivery accountability across multiple health system engagements, overseeing financial performance and shaping repeatable methodologies for scalable value realization. The role anchors on an Azure migration for a large academic medical center, spanning cloud FinOps enablement and organizational change

Qualifications

• Senior leader with cloud FinOps and technology value optimization experience.
• Portfolio delivery across multiple health system clients.
• Comfort presenting to CFOs, CIOs, and governance committees.

Responsibilities

• Hold delivery and commercial accountability for a portfolio of cloud and AI FinOps engagements.
• Lead cloud FinOps capabilities: baselining, cost allocation, showback/chargeback, forecasting, and value tracking.
• Advise on enterprise agreements, commitment strategies, and savings plans.
• Shape executive deliverables and board-level materials for the portfolio.
• Drive rationalization of applications and AI workloads to reduce cost and maximize value.

Skills

Strategic leadership

Cloud FinOps

Stakeholder management

CFO/CIO-level communication

Job description

Job Family : Technology Consulting

Travel Required : Up to 50%

Clearance Required : None

We are seeking a senior leader to build and lead our Cloud and AI FinOps and Technology Value Optimization capability for healthcare provider clients. This is a portfolio role, not a single-engagement role. The successful candidate will carry concurrent delivery accountability across multiple health system clients, own the commercial performance of that portfolio, shape the methodologies and assets that make the capability repeatable, and serve as the practice's most credible voice with CFOs, CIOs, and Chief Data and AI Officers on what cloud and AI actually cost and what value they actually return.

The immediate anchor assignment is a large academic medical center's Azure migration, where this leader will own a two-workstream program spanning cloud FinOps enablement and organizational change management. That engagement is the entry point to a broader agenda: as health systems move workloads and stand up AI platforms, they are discovering that consumption-based economics, fragmented application portfolios, and immature governance compound each other. This leader will connect those problems - FinOps discipline, application and AI workload rationalization, cloud operating model design, and the change management required to make any of it stick - into a coherent point of view and a growing book of work.

This role suits someone who is equally comfortable in front of a finance committee defending a commitment strategy, in a working session with cloud engineers debating tagging enforcement, and in a practice leadership meeting arguing for where to invest next. It carries real autonomy, real revenue accountability, and a clear path to Partner-track responsibility.

What You Will Do:

Client and Portfolio Leadership

Hold delivery and commercial accountability for a portfolio of concurrent cloud and AI FinOps, rationalization, and technology value optimization engagements, including scope, quality, margin, staffing, risk posture, and client satisfaction across all of them.

Serve as the senior client-facing voice with CFOs, CIOs, Chief Data and AI Officers, and their governance committees - framing tradeoffs, defending recommendations under scrutiny, and converting analysis into decisions leadership is willing to fund and act on.

Set the standard for executive deliverables across the portfolio, personally shaping the narrative, structure, and defensibility of board- and committee-level materials rather than reviewing them at the margin.

Cloud and AI FinOps

Lead establishment of durable FinOps capabilities for cloud and AI workloads, spanning consumption baselining, cost allocation and unit economics, showback and chargeback design, forecasting, anomaly management, and value realization tracking.

Advise clients on enterprise agreement and commitment strategy, including commitment sizing and right-sizing, reservation and savings plan portfolios, consumption trajectory risk, and the financial exposure created by aggressive multi-year commitments.

Bring a defensible point of view on AI and analytics workload economics - GPU and inference cost behavior, consumption-based data platform pricing, model and token-level attribution, and the shared-service allocation problems that make AI spend uniquely difficult to govern.

Direct design of cloud operating model components that sustain FinOps beyond the engagement: Cloud Center of Excellence structures, intake and provisioning workflows, tagging taxonomies and enforcement automation, decision rights, policy guardrails, and recurring cost review routines.

Oversee automation and reporting build-out across native cloud cost management tooling, data platform usage telemetry, and enterprise BI, ensuring clients inherit working instrumentation rather than a static assessment.

Cloud and AI Rationalization and Value Optimization

Lead application and workload rationalization engagements, including portfolio inventory and segmentation, disposition analysis, cloud candidacy and workload placement criteria, migration wave sequencing, and the business cases that justify retire, consolidate, replatform, or modernize decisions.

Extend rationalization discipline to the emerging AI estate - redundant models, pilots, copilots, and point solutions - and help clients distinguish AI investments that are compounding value from those that are accumulating cost and risk.

Connect rationalization findings to run-rate reduction, contract and licensing optimization, technical debt retirement, and reinvestment capacity, quantified in terms finance leadership will stand behind.

Partner with enterprise architecture, infrastructure, security, and data leaders to ensure disposition and placement recomme