- Partner with executive leadership to define AI-native vision, operating model, and 2027 roadmap.
- Build, lead, and develop the team across Machine Learning Engineering and AI Engineering.
- Establish clear ROI-based goals, accountability, and technical standards.
- Clarify intake requests, prioritization, and governance guardrails for AI tools and agents.
- Guide development of physics-based models for reliability intelligence and anomaly detection.
- Ensure production ML systems are monitored and operationally reliable.
- Maintain clear narratives on AI priorities and tradeoffs for the CEO and board.
Artificial IntelligenceCloud ComputingMachine Learning+3 more