Develop and implement process automation, end‑to‑end automated data pipelines and workflows to improve efficiency, reduce manual effort, and enhance scalability of existing processes
Conduct security architecture and design reviews for new products, services, APIs, data pipelines, and infrastructure components, including those that use AI and agents.
Drive project initiation activities, including business case development, funding proposals, project sizing, resource planning, and governance approvals.
Identify repeatable field patterns and friction points in Google’s AI stack, converting them into reusable modules or formal product feature requests for engineering teams.
AI-Enabled MES Solution Leadership: Lead the design and delivery of AI/ML-enabled MES solutions for production scheduling, process optimization, predictive quality, equipment health monitoring, anomaly detection, and real-time decision support, ensuring alignment with operational priorities and business objectives.
Manage programs that enhance and scale data platforms, pipelines, processing systems, and operational tooling supporting AI/ML development and evaluation.
Manage programs that enhance and scale data platforms, pipelines, processing systems, and operational tooling supporting AI/ML development and evaluation.
Escalate Complex Issues: Recognise complex or unresolved issues and escalate them to the appropriate internal teams or senior support for further action.