Director, AI FinOps and Governance

MANTECH•Herndon, VA

17h•$153,800 - $275,800•Onsite

About The Position

MANTECH seeks a strategic, hands-on AI FinOps and Governance Director in Herndon, Virginia. The role leads financial management, governance, and value realization for the enterprise AI portfolio across Enterprise IT, Finance, Government Accounting, Information Security, Legal, Contracts, Enterprise Architecture, and business operations. The director owns AI intake and inventory, serves as the operational lead for MANTECH’s AI Governance Board, and ensures enterprise AI investments are cost-effective, linked to measurable business outcomes, and compliant with applicable security and regulatory requirements. The position establishes and leads the enterprise AI FinOps operating model, oversees AI budgeting and cost management, and maintains lifecycle governance from experimentation through retirement. It also works with executive and cross-functional stakeholders to evaluate AI proposals, manage risk, optimize costs, and report on AI spending, risk, and realized value.

Requirements

Bachelor’s degree in Information Systems, Computer Science, Engineering, Data Science, Finance, or a related field, or equivalent practical experience.
At least 10 years of progressive experience in technology financial management, cloud FinOps, IT governance, or technology portfolio management.
At least 3 years of direct experience leading a FinOps, Technology Business Management (TBM), cloud economics, or AI/data governance function in an enterprise organization.
Practical knowledge of AI/ML lifecycles, generative AI, LLMs, AI agents, RAG architectures, and their primary cost drivers.
Experience establishing governance frameworks, risk assessment workflows, review gates, exception processes, and executive decision councils.
Ability to synthesize consumption, financial, and adoption metrics into actionable forecasts, leadership insights, and executive dashboards using tools such as Power BI or Excel.
Exceptional communication, facilitation, and executive stakeholder management skills, including the ability to translate technical, legal, and financial trade-offs into business decisions.
U.S. citizenship is required.

Nice To Haves

Professional experience in a federal contractor or Defense Industrial Base (DIB) environment, including familiarity with CUI, export controls, and CMMC frameworks.
Working familiarity with federal government contract cost accounting standards, including FAR Part 31, CAS, and DCAA compliance expectations.
Experience overseeing enterprise AI platforms and cloud services such as Microsoft 365 Copilot, Azure OpenAI/Azure AI Foundry, Amazon Bedrock, or Microsoft GCC High.
Hands-on experience with ServiceNow (SPM, SAM, or IRM/GRC) and enterprise cloud financial management tools such as Microsoft Cost Management, AWS Cost Explorer, or Cloudability.
FinOps certifications (FinOps Certified Practitioner/Professional) or AI/cyber governance and security certifications (IAPP AIGP, ISACA CRISC/CISM, or CISSP).

Responsibilities

Lead the enterprise AI FinOps operating model, including policies, decision rights, and financial accountabilities across AI platforms, foundation models, infrastructure, licensing, and consumption.
Manage the enterprise inventory and ServiceNow intake pipeline for AI use cases, models, and agents; evaluate proposals for business value, security, feasibility, and ROI.
Direct AI budgeting, forecasting, showback/chargeback, and cost allocation, partnering with Government Accounting to ensure compliance with FAR Part 31, CAS, and DCAA audit standards.
Drive cost optimization across compute, storage, token, and API consumption through license reclamation, right-sizing, workload scheduling, and vendor contract negotiations.
Maintain the enterprise AI lifecycle governance framework, including documented ownership, risk assessments, human oversight, and auditability from experimentation through retirement.
Collaborate with Legal, Security, and Internal Audit to enforce compliance controls for CUI, ITAR/EAR, CMMC, DFARS 252.204-7012, and FedRAMP across AI systems.
Serve as operational lead and executive secretary for the AI Governance Board; prepare decision materials, track actions, and deliver executive dashboards on AI spend, risk, and value realization.