Lead the financial management, governance, and value realization of MANTECH’s enterprise AI portfolio across multiple domains, ensuring cost-effective, compliant AI investments.
Compensation
The projected compensation range for this position is $153,800.00-$275,800.00.
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 all AI use cases, models, and agents, evaluating each proposal for business value, security, feasibility, and ROI.
Direct AI budgeting, forecasting, showback/chargeback, and cost allocation while 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, ensuring documented ownership, risk assessments, human oversight, and auditability from experimentation through retirement.
Requirements
Bachelor's degree in Information Systems, Computer Science, Engineering, Data Science, Finance, or a related field (or equivalent practical experience)
Nice to have: federal contractor experience
Nice to have: Defense Industrial Base (DIB) environment
Build and scale enterprise data services centered on SingleStore Helios and PostgreSQL, combining database architecture, production engineering, and data pipeline development.
Compensation
The base pay for this role is expected to be between $180,000 and $250,000. The expected base pay range is based on information at the time this post was generated. This role may also be eligible for other forms of compensation such as a performance bonus and a competitive benefits package.
Responsibilities
Design, develop and optimize SingleStore and PostgreSQL schemas, SQL queries, physical data models, indexing and workload performance.
Build and maintain reliable batch, streaming and CDC ingestion pipelines from relational databases, object storage and other enterprise sources into SingleStore; implement validation, transformation, enrichment and data curation.
Lead technical assessments and migrations of existing applications and data workloads to SingleStore, while onboarding new teams, applications and services.
Build reusable self-service onboarding capabilities, including APIs, configuration templates, automated provisioning, access requests, pipeline deployment and operational guardrails.
Optimize cloud database spend through workload right-sizing, consolidation, scheduling and performance tuning; develop transparent SingleStore cluster, application and team-level cost allocation and showback.
Lead financial governance, operational visibility, and consumption optimization of Vizient’s enterprise AI platforms and generative AI services, establishing AI FinOps capabilities for responsible, scalable, and cost-effective adoption of AI.
Compensation
The current salary range for this role is $102,400.00 to $179,000.00.
Responsibilities
Lead AI financial operations across enterprise AI platforms, monitoring and managing cloud-based AI spend across services such as Azure OpenAI, Azure AI Foundry, AWS Bedrock, Google Vertex AI.
Track, analyze, and optimize AI consumption metrics including token utilization, inference costs, GPU usage, model hosting expenses, vector database consumption, embeddings, and AI agent execution patterns.
Develop forecasting models and financial planning processes to support AI platform growth, capacity management, and long-term investment strategies.
Establish and maintain AI showback and chargeback methodologies that provide transparency into AI consumption and business value realization.
Define and implement governance standards, financial guardrails, and operational controls to ensure responsible and cost-effective AI adoption across the enterprise.
Requirements
Bachelor’s degree in Finance
Accounting
Information Technology
Computer Science
Data Analytics
Skills
Senior Pricing Manager - GPUaaS & AI Cloud Infrastructure
Senior Pricing Manager responsible for commercial and strategic pricing of GPUaaS and AI cloud infrastructure solutions, leading pricing frameworks, deal desk evaluations, and financial modeling.
Locations (3)
Basking Ridge, New Jersey, United States
Illinois, United States
New York, United States
Compensation
The annual salary range for the location(s) listed on this job requisition based on a full-time schedule is: $105,000.00 - $201,000.00. The annual salary range for the Illinois location(s) listed on this job requisition based on a full-time schedule is: $115,500.00 - $201,000.00. The annual salary range for the New York location(s) listed on this job requisition based on a full-time schedule is: $115,500.00 - $201,000.00.
Responsibilities
Design and govern go-to-market pricing structures for GPU clusters and compute capacity
Partner with Product, Enterprise Sales and Finance to develop pricing frameworks
Business-oriented Cloud FinOps Analyst to help teams understand, manage, and optimize cloud costs across departments, products, platforms, and customers.
Responsibilities
Build clear cost dashboards and reports for department, team, product, platform, and customer-level transparency.
Support cloud budgeting, forecasting, monthly reviews, variance analysis, and management reporting.
Manage commitment-based discounts such as Savings Plans, Reserved Instances, Azure Reservations, and committed-use discounts.
Improve tagging, labeling, cost allocation, showback/chargeback, and unit economics across cloud environments.
Identify cost anomalies, idle resources, rightsizing opportunities, and optimization actions with Engineering and DevOps teams.
health, dental, vision, short and long term disability, life insurance, supplemental life, AD&D, identity theft protection, pet insurance, group home & auto insurance
Director, AI FinOps and GovernanceMANTECH · Herndon, US
Senior Data Platform EngineerSchonfeld · New York, US