ROLE & RESPONSIBILITIES:

• Serve as the primary stakeholder lead for AI platform initiatives, managing expectations and aligning priorities
• across business and technical teams
• Translate business needs into AI solution proposals and drive them through to successful implementation
• Collaborate with data scientists and engineers to define solution blueprints, data pipelines, and model requirements
• Advocate for scalable, reliable, and secure deployment patterns for AI services and components
• Coordinate cross-functional workstreams to integrate AI models into production applications and processes
• Drive stakeholder workshops, training, and enablement to increase adoption and understanding of AI and ML capabilities
• Define success metrics, monitor model performance in production, and coordinate remediation where needed
• Manage prioritisation and roadmap discussions with product owners and engineering leads to ensure business
• value delivery
• Support the adoption of MLOps practices and CI/CD pipelines to enable repeatable deployments
• Liaise with IT, security, and legal teams on governance, data privacy, and compliance requirements for AI
• systems.

• Degree in Data Science, Computer Science, Statistics, Engineering, or equivalent relevant experience
• Minimum of 3-5 years’ experience in data science, AI applications, or related fields with demonstrated
• stakeholder management experience
• Proven track record of designing or enabling AI/ML/Data Engineering solutions and working with crossfunctional
• delivery teams to deploy them into production