AI Value & Cost Realization Lead

toyota; Plano (TX); On-site; USD 180,000 - 240,000; Full time

Job summary

Toyota's Enterprise AI Department seeks a passionate AI Value Realization Manager to make the AI portfolio tangible by linking objectives, adoption, utilization, and lifecycle cost to measurable business outcomes.

You will own end‑to‑end cost visibility across AI products and tools, design showback or chargeback, unit economics, and concise executive reporting, partnering with finance, procurement, and engineering to optimize budgets and value realization.

Qualifications

• Bachelor’s degree in computer science, AI, data science, engineering, mathematics, finance, statistics, business, or equivalent practical experience.
• At least 6 years of experience in AI, software, cloud, data platforms, automation, FinOps engineering, or a related discipline, including leadership of complex enterprise initiatives and technical teams.
• Experience building cost visibility, allocation, forecasting, optimization, chargeback or showback, unit economics, dashboards, or analytical products for cloud, software, data, or AI platforms.
• Proficiency in Python, Java, JavaScript, C++, or

Responsibilities

• Develop an AI investment measurement strategy linking objectives, adoption, utilization, technical performance, and lifecycle cost to measurable business outcomes.
• Maintain a portfolio view of custom products and purchased software from intake through retirement, including ownership, status, dependencies, cost, utilization, risk, and realized value.
• Create reusable business‑case, benefit‑tracking, and review methods with evidence‑based checkpoints for pilot, production, scale, renewal, consolidation, and retirement.
• Partner with business and product leaders to define baselines, success measures, evidence plans, and high‑impact roadmaps; identify solutions to optimize, renegotiate, consolidate, replace, or retire.
• Provide concise executive reporting and lead a high‑performing engineering team through clear goals, coaching, and development.
• Establish end‑to‑end cost visibility across custom AI products and commercial tools, including cloud infrastructure, model usage, data, observability, licenses, consumption fees, vendor services, and support.
• Design allocation, tagging, showback or chargeback, forecasting, and anomaly detection capabilities that attribute costs to products, use cases, environments, teams, and outcomes.
• Develop unit economics‑such as cost per user, transaction, workflow, model call, token, or outcome‑to guide architecture, model, and vendor decisions.
• Partner with finance, procurement, and engineering to improve budgets, forecasts, vendor management, license utilization, and total cost of ownership.
• Partner with AI Engineering, Strategy & Trust teams providing data that helps define standards on optimization, agents, infrastructure, licenses, and consumption plans.
• Lead the design, delivery, and operation of production‑quality data services, dashboards, APIs, automation, and pipelines for AI value and cost management.
• Combine cloud billing, model and API usage, platform telemetry, product analytics, financial data, and business outcomes into trusted reporting products.
• Embed value, cost, usage, and benefit evidence into delivery, procurement, workflow, and monitoring systems.
• Partner with AI Engineering & Strategy teams on decisions related to platform value, cost, performance, risk, and portability.

Skills

Python

Java

JavaScript

C++

Leadership

Cloud platforms

Education

Bachelor's degree in CS or related field

Job description

Toyota's Enterprise AI Department seeks a passionate AI Value Realization Manager to make the AI portfolio tangible by linking objectives, adoption, utilization, and lifecycle cost to measurable business outcomes.

You will own end‑to‑end cost visibility across AI products and tools, design showback or chargeback, unit economics, and concise executive reporting, partnering with finance, procurement, and engineering to optimize budgets and value realization.