Director of AI

About the Role

Sage AI is the global, high-performing AI business unit within Sage. We are building the future of cloud business management by using artificial intelligence to turbocharge our users' productivity. The Sage AI team builds capabilities to help businesses make better decisions and automate processes through embedded, generative, and agentic AI. We are hiring a Director of AI (EMEA) to help us build the next generation of machine learning and AI products for Sage. As a part of our distributed, cross-functional team, you will provide the strategic direction to ML Managers and their direct reports, guiding the entire company’s Data Science and Machine Learning efforts.

This is a hybrid role - three days per week in our Newcastle office.

Responsibilities

• Overseeing multiple ML Managers and helping them to build and scale their teams
• Helping ML Managers define their teams’ missions, objectives, and road maps
• Working closely with Product, Data Science, and Engineering teams to shape the future direction of AI at Sage
• Identifying opportunities to apply AI to new products and/or areas of the business in order to deliver business value
• Give engineers and data scientists the tools, confidence, and motivation to make decisions independently and drive success of the organization

Requirements

• Extensive engineering or data science experience with broad exposure to ML/AI solutions
• Strong people leadership and team building experience as a senior manager or above, with a demonstrated passion for bringing out the best in a team and helping people grow in their careers
• Have a strong background in applying cutting edge ML/AI techniques to solve business problems
• Ability to set and maintain the highest standards for one’s team and oneself
• Familiarity with fundamentals of probability theory, statistics, and machine learning
• Knowledge of ML pipelines and engineering architectures
• Effective communication, negotiation, and execution abilities across teams and stakeholders
• BS computer science, machine learning, statistics, mathematics or related technical field
• Proficiency in ML languages and packages (Python, especially), statistical modelling techniques

Nice to Have

• Experience with MLOps