Vice President Finance

Steven Douglas has been retained on an OUTSTANDING VP, Business Partner Finance, AI Infrastructure career opportunity in Seattle, WA. This role is on-site.

Reporting to the President, the VP, Business Partner Finance, AI Infrastructure is a senior executive position that strategically links an organization's finance function with its technology and operations teams specifically focused on the capital-intensive world of Artificial Intelligence infrastructure. This individual acts as a key liaison, ensuring that financial planning, analysis, and execution align with the technical requirements and rapid scaling of AI initiatives.

• Strategic Financial Planning & Analysis (FP&A): Overseeing the budgeting, forecasting, for AI infrastructure investments, which involve large capital expenditures (Cap Ex) for GPUs, networking and storage.
• Business Partnership & Alignment: Serving as a trusted partner to engineering, product, and executive leadership to align technology roadmaps and operational decisions with financial goals and business strategy.
• Cost Management & Operational Efficiency: Driving operational efficiency and cost management across the organization's AI infrastructure, monitoring cost performance, and identifying opportunities for optimization
• Investment & Capital Management: Partnering with internal finance and capital teams to manage investment life cycles, payment schedules, and risk contingencies for large-scale projects
• Stakeholder Communication: Delivering executive-level financial updates, and performance dashboards to senior leadership.

• Bachelor's degree in Finance, Engineering, Economics, or a related field is typically required, with a Master's degree (MBA) often preferred.

• Experience:
  
  A minimum of 10-15+ years of experience in finance, with significant experience in technology, mission-critical infrastructure, hyperscale data centers, or AI/cloud platforms.
• Skills:
  
  Strong business acumen, exceptional analytical and data-driven decision-making skills, and the ability to communicate complex finance and technology concepts effectively to diverse stakeholders.
• Domain Expertise:
  Fluency in AI/ML concepts, GPU technologies, data centers, networking, and the unique financial models of "AI Hyperscalers".