Proven ability to deliver AI capabilities in production, including model training, deployment, monitoring, and lifecycle management Strong technical background across machine learning, data pipelines, and cloud platforms (e.g. Snowflake, Databricks, Azure) Exceptional communication and influencing skills, with the ability to align executive stakeholders around AI strategy A pragmatic, delivery-focused mindset and passion for scalable, secure, and privacy-conscious AI More ❯
data strategy , reporting directly to the CTO. Build and lead a new AI/ML function , while shaping the existing data team. Establish a modern data platform using Fabric, Databricks or similar technologies to power predictive analytics and automation. Deliver the business's first AI-powered products and tools , such as intelligent search, document OCR and insight-driven reporting. Partner … setting. Technical depth across machine learning, MLOps, and data engineering . Experience building and scaling teams in data and AI disciplines. Background in cloud-based data platforms - Microsoft Fabric, Databricks, Snowflake, AWS or Azure . A hands-on mindset with the ability to balance technical leadership and strategic direction. Strong communication and stakeholder management skills, with the ability to operate More ❯
