Head of Artificial Intelligence

Join AssetWatch, a leading company in predictive maintenance and condition monitoring for global manufacturers. As the Head of Artificial Intelligence, you will play a central strategic leadership role, managing AI workstreams across the company and leading the Data Science function. You will partner with executive leadership to define AssetWatch's AI-native vision and operating model, identify competitive advantages, and drive efficiency. You will also build and develop a high-performing team, establish clear goals and accountability, and guide the development of physics-based models. This role requires a blend of strategic vision, technical fluency, ethical leadership, and change management skills.

• Manage AI workstreams across the company, turning scattered AI experiments into governed and measurable operating capability.
• Partner with executive leadership to define AssetWatch's AI-native vision, operating model, and continue to build our roadmap heading into 2027 and beyond.
• Build, lead, and develop the team across Machine Learning Engineering, Machine Learning, and AI Engineering, establishing clear ROI-based goals and accountability.
• Experience managing cross-functional teams and partnering with senior executive stakeholders
• Proven track record setting technological strategy in a fast-moving environment and delivering large-scale initiatives
• 10 or more years leading AI, machine learning, data science, or adjacent data or software\ technical teams
• Hands-on fluency with modern AI and data science, enough to scope work, evaluate quality, and challenge assumptions
• Working knowledge of production ML, MLOps, evaluation, governance, and AI systems lifecycle
• Familiarity with state-of-the-art approaches including large language models, agentic architecture, and machine learning
• Commitment to responsible AI practices including data privacy, bias mitigation, and regulatory compliance
• Strong judgment connecting technical work to customer value, revenue impact, cost control, and risk reduction
• Excellent communicator, able to translate complex AI concepts for non-technical executives and inspire technical teams
• Advanced degree (MSc, PhD, or MBA with technology focus) preferred
• Bachelor's degree in computer science, data science, AI, engineering, or a related field required
• Experience with time-series data, signal processing, anomaly detection, or sensor-driven products
• Background in industrial technology, predictive maintenance, manufacturing, IoT, or condition monitoring
• Experience with AWS, MLOps tooling, cloud data platforms, and enterprise SaaS integrations