Senior Manager - Artificial Intelligence Agentic Workforce and Orchestration Strategy

Who we are
Collaborative. Respectful. A place to dream and do. These are just a few words that describe what life is like  one of the world’s most admired brands, Toyota is growing and leading the future of mobility through innovative, high-quality solutions designed to enhance lives and delight those we serve. We’re looking for talented team members who want to Dream. Do. Grow.

with us.

Who we are Collaborative. Respectful. A place to dream and do. These are just a few words that describe what life is like  one of the world’s most admired brands, Toyota is growing and leading the future of mobility through innovative, high-quality solutions designed to enhance lives and delight those we serve. We’re looking for talented team members who want to Dream.

Do. Grow.

with us.
To save time applying, Toyota does not offer sponsorship of job applicants for employment-based visas or any other work authorization for this position at this time.

Toyota’s Enterprise AI Department is looking for a passionate and highly motivated Senior Manager, AI Agentic Workforce & Orchestration Strategy
.

The primary responsibility of this role is to design and drive Toyota’s enterprise strategy for human–AI collaboration, defining how employees and AI agents work together to improve operations, elevate decision-making, and unlock productivity across every business unit. The person in this role will operate as a senior individual contributor who sets the cross-company blueprint for AI-enabled work, partners with divisional leaders to localize and deploy it, and establishes the measures that prove impact and guide continuous improvement.

Reporting to the General Manager, AI Engineering & Ethics, the person in this role will support the Enterprise AI department's objective to accelerate AI adoption across Toyota’s operations, enhancing efficiency and creating impactful AI-driven solutions.

This position is based in Plano, TX. The selected candidate will be expected to reside within a commutable distance of this location.

• Define the enterprise operating model for human–AI collaboration: roles, responsibilities, interaction patterns, escalation and oversight, and guardrails for safe and effective use.
• Lead the strategy and governance for AI orchestration frameworks (e.g., Model Context Protocol and future context or coordination architectures): define how contextual data, tools, and agent capabilities are standardized, orchestrated, and version-controlled across divisions; establish enterprise principles for scalable AI interoperability
• Map and prioritize high-value workflows across divisions; design target-state processes that blend human expertise with AI and automation; build adoption playbooks and rollout plans.
• Specify the AI agent orchestration layer requirements, including task routing, handoffs, human-in-the-loop checkpoints, quality gates, and performance telemetry.
• Establish enterprise change framework: capability maturity model, training curricula, role-based enablement, coaching plans, and certification for AI-augmented roles.
• Build the value measurement system: baseline current-state KPIs, define outcome and efficiency metrics, instrument pilots, and run controlled rollouts to validate impact and ROI.
• Partner with HR, Operations, IT, Legal, Privacy, and Responsible AI to align policies, job architectures, competency models, and safeguards; ensure auditable evidence and compliance.
• Develop a portfolio roadmap and sequencing plan by division; design lighthouse pilots, scale-up criteria, and playbooks to accelerate adoption across business units.

• Bachelor’s degree or equivalent experience in Computer Science, Engineering, Business Administration, or a related field
• Minimum of 10+ years leading enterprise-wide operating model or workforce transformation programs with measurable outcomes across multiple business units.
• Delivered at least three large-scale process redesigns that achieved quantified improvements in cost, quality, or cycle time, validated by before-and-after KPIs.
• Demonstrated experience specifying and deploying human-in-the-loop or workflow orchestration…