Manager - AI Value Realization

Toyota•Plano, TX

2d•Onsite

About The Position

Toyota’s Enterprise AI Department is seeking an AI Value Realization Manager to make the value, cost, utilization, adoption, and performance of Toyota’s AI portfolio visible and actionable. The role connects custom AI products and purchased software to measurable business outcomes, lifecycle costs, and benefits. Reporting to the Senior Manager, Enterprise AI Value & Cost Transparency, the manager leads a hands-on engineering function spanning AI economics, FinOps, utilization analytics, portfolio measurement, and executive decision support. The position partners with business, engineering, finance, procurement, and vendor management teams to select, operate, govern, and demonstrate the value of AI solutions. It is based in Plano, Texas, and the selected candidate must reside within commuting distance. The role develops portfolio measurement and cost-transparency approaches, creates and operates data services and reporting products, and supports decisions about AI investments, platforms, vendors, and product lifecycles. It also leads and develops a high-performing engineering team. Toyota does not offer immigration-related work authorization support or sponsorship for this role; applicants must already have the right to work in the United States without Toyota support now or in the future.

Requirements

Bachelor’s degree in computer science, AI, data science, engineering, mathematics, finance, statistics, business, or a related field, 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 a similar language.
Experience with APIs, data pipelines, infrastructure as code, cloud services, and observability platforms.
Working knowledge of modern AI architectures and tools, including machine learning, generative AI, large language models, retrieval systems, evaluation, and agentic workflows.
Understanding of AI contracts, product economics, cloud consumption, software licensing, procurement, financial planning, data quality, and enterprise technology operations.
Strong problem-solving, executive communication, and stakeholder-management skills.
Ability to translate business needs into technical plans and measurable operational, financial, utilization, and adoption outcomes.
Must have the right to work in the United States without Toyota immigration-related employment support or sponsorship now or in the future.
Must reside within a commutable distance of Plano, Texas.

Nice To Haves

Relevant AI, machine learning, cloud, or FinOps certifications.
Automotive or enterprise IT experience.
Experience with machine learning frameworks, agentic systems, or model training and fine-tuning.
Experience managing engineering budgets, product lifecycle forecasts, or human-centered software design.

Responsibilities

Develop an AI investment measurement strategy that connects objectives, adoption, utilization, technical performance, lifecycle cost, and 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 pilots, production, scaling, renewals, consolidation, and retirement.
Partner with business and product leaders to define baselines, success measures, evidence plans, and roadmaps; identify solutions to optimize, renegotiate, consolidate, replace, or retire.
Provide concise executive reporting and lead an engineering team through clear goals, coaching, and development.
Establish end-to-end cost visibility for custom AI products and commercial tools, including cloud infrastructure, model usage, data, observability, licenses, consumption fees, vendor services, and support.
Design cost 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.
Provide data to AI Engineering, Strategy, and Trust teams to help define standards for 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 and Strategy teams on decisions related to platform value, cost, performance, risk, and portability.

Benefits

Professional growth and development programs.
Tuition reimbursement.
Team Member Vehicle Purchase Discount.
Toyota Team Member Lease Vehicle Program, if applicable.
Comprehensive health care and wellness plans for the employee’s entire family.
Toyota 401(k) Savings Plan with a company match and an annual retirement contribution regardless of employee contribution, if applicable.
Paid holidays and paid time off.
Referral services related to prenatal services, adoption, childcare, schools, and more.
Tax-Advantaged Accounts, including Health Savings Account, Health Care FSA, and Dependent Care FSA.
A work environment built on teamwork, flexibility, and respect.