VP of AI Transformation

Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 Alpha - our rapidly developed humanoid platform now running in real industrial pilots - and we’re growing the team to take it even further.

About the Role

As a VP of AI Transformation will be responsible for defining and executing Humanoid's enterprise-wide AI transformation strategy.

This leader will establish the vision, operating model, governance framework, and execution roadmap required to enable AI adoption across all business functions. Working closely with the CEO, Executive Leadership Team, Business Transformation, IT, Engineering, and functional leaders, you will drive Humanoid's evolution into an AI-native company.

You will lead the AI Transformation Office and oversee a cross-functional team, including AI Leads across Engineering, Business Operations, Back Office Functions, and Executive Operations. You will ensure that every AI initiative delivers measurable business value while maintaining the highest standards of security, compliance, governance, and operational excellence.

This is a highly strategic leadership role with significant influence over the future operating model of the company.

What You'll Do:

AI Transformation Strategy

• Define and execute Humanoid's enterprise AI transformation vision and roadmap.

• Develop a company-wide AI strategy aligned with business objectives and growth plans.

• Establish priorities, investment frameworks, and governance structures for AI initiatives.

• Advise executive leadership on emerging AI opportunities, risks, and market developments.

• Build an AI-first culture focused on innovation, productivity, and continuous improvement.

AI Operating Model & Continuous Improvement

• Own and evolve Humanoid's AI-Powered Continuous Improvement Flywheel.

• Establish transformation governance, operating cadences, reporting mechanisms, and executive review forums.

• Embed AI initiatives into business planning, capability maturity assessments, and operational reviews.

• Identify, prioritize, and scale high-impact AI use cases across all functions.

• Ensure successful pilots are translated into enterprise-wide capabilities.

• Drive the development of AI-native ways of working across the organization.

Enterprise AI Governance

• Establish policies, standards, and controls for responsible AI deployment.

• Define governance frameworks covering:

• AI ethics and responsible AI

• Security and cyber risk management

• Data governance and privacy

• Human-in-the-loop controls

• Model evaluation and monitoring

• Compliance and audit readiness

• AI vendor and platform governance

• Ensure all AI solutions align with corporate, legal, and regulatory requirements.

Organizational Transformation & Change Management

• Lead enterprise-wide AI adoption and change management programs.

• Build AI literacy across leadership teams and employee populations.

• Establish AI Champions networks and communities of practice.

• Drive workforce enablement and behavioral change initiatives.

• Foster a culture where AI augments human capabilities, accelerates decision-making, and improves productivity.

Business Impact & Value Realization

• Define KPIs and success metrics for AI transformation initiatives.

Cross-Functional Leadership

• Lead and mentor AI Leads and transformation teams across the business.

• Partner closely with:

• CEO and Executive Leadership Team

• Business Transformation

• Engineering

• IT

• Finance

• HR

• Supply Chain

• Compliance

• Cybersecurity

• Align AI initiatives across functions to avoid duplication and maximize business impact.

• Promote collaboration between technical and business teams.

Innovation & External Ecosystem

• Continuously evaluate emerging AI technologies, platforms, and market developments.

• Build relationships with AI vendors, research institutions, industry partners, and startups.

• Identify opportunities to create competitive advantage through AI.

• Benchmark Humanoid against leading AI-native organizations and establish best practices.

What We're Looking For

• 10+ years of experience in business transformation, digital transformation, enterprise technology, AI strategy, or AI leadership roles.

• Proven track record leading large-scale organizational transformation programs.

• Deep understanding of artificial intelligence, machine learning, generative AI, agentic AI systems, automation, and enterprise AI platforms.

• Experience designing enterprise operating models, governance frameworks, and transformation programs.

Nice to have:

• Experience building AI Centers of Excellence (CoE) or enterprise AI programs.

• Experience deploying AI agents and intelligent automation solutions at scale.

• Background in robotics, advanced manufacturing, industrial automation, or deep-tech organizations.

• Familiarity with Lean, Six Sigma, capability maturity frameworks, and operational excellence methodologies.

• Experience with enterprise knowledge management and AI-driven decision support systems.

• MBA or advanced degree in Engineering, Computer Science, Business, or a related field.

What Success Looks Like:

Within your first 12 months, you will have:

• Established Humanoid's AI Transformation Office and governance framework.

• Embedded AI maturity assessments into business capability reviews.

• Delivered multiple AI initiatives with measurable business impact.

• Built and operationalized an AI-first operating model across engineering and business functions.

• Increased automation maturity across critical value streams.

• Improved productivity through AI-enabled workflows and intelligent automation.

• Created a sustainable AI adoption culture supported by governance, training, and continuous improvement.

• Positioned Humanoid as one of the world's leading AI-native robotics companies.

What We Offer

• Meaningful time off to rest and recharge: 23 days of annual leave (accrued), separate sick leave, and paid bank holidays and company holidays.

• Fully funded private healthcare for UK employees, with broad provider access, virtual and in‑person care, and strong mental health and serious illness support.

• Pension scheme with a total 8% contribution (5% employee, 3% employer) on full earnings.

• Free daily breakfast, catered lunch, and snacks in‑office.

• Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.

• Freedom to influence the product and own key initiatives.