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.

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.

• 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.

• Drive the adoption of AI agents, intelligent automation, and AI-enabled workflows across the organization.

• 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.

• 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.

• 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.

• Define KPIs and success metrics for AI transformation initiatives.

• Measure and report:

• Automation maturity

• Productivity improvements

• ROI of AI initiatives

• User adoption

• Quality and accuracy outcomes

• Cost efficiencies

• Operational performance improvements

• Present transformation progress, outcomes, and strategic recommendations to the Executive Leadership Team and Board.

• 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.

• Continuously evaluate…