Platform Owner - AI Tech CoE

The AI Tech CoE Platform Owner is a senior technology leadership role responsible for defining the strategy, vision, and direction of the AI technology platforms within the Centre of Excellence. This individual will oversee all aspects of AI platform engineering, from architecture and development to operations and governance, ensuring that the platforms deliver maximum value to the enterprise while enabling AI innovation at scale.

This role offers an exciting opportunity to shape the future of AI technology platforms within the organisation, driving innovation and excellence in AI engineering practices while building and leading a world-class platform engineering team.

• Define and drive the overall strategy for AI technology platforms, including AI Foundry, Databricks AI platform, and AWS enterprise models integration, ensuring alignment with organizational business goals.
• Manage the end-to-end lifecycle of AI platforms, shaping the roadmap and supporting enterprise AI platform consumption.
• Oversee platform governance, ensuring environments are secure, scalable, and compliant with internal and external standards.
• Lead technology review and introduce new enterprise AI platforms in accordance with business and technical standards.
• Establish and maintain AI technical governance frameworks, compliance protocols, and responsible AI practices, ensuring alignment with group compliance requirements and ethical guidelines.
• Drive platform integration and adapter management for seamless connectivity across the enterprise ecosystem.
• Support risk management, disaster recovery, and continuous improvement initiatives for AI platforms.
• Oversee AI/MLOps pipeline standards, practices, and tool implementation for the area to ensure efficient and secure model deployment.
• Manage DevSecOps practices for AI platforms, prioritizing security-first development and operations.
• Define and implement development standards, practices, and tools for AI platform engineering teams.
• Manage the development of enterprise AI applications and models which should be shared in the organisation.
• Monitor platform availability and usage through comprehensive observability, analytics, and performance tracking.
• Advise on appropriate licensing, monitor license usage, and manage technology budgets and vendor relationships.
• Lead the integration and management of enterprise models into unified AI catalogues and services, ensuring effective application lifecycle management and model performance monitoring.
• Oversee demand management, enhancing and assessing requests for AI platform resources.
• Implement robust security, governance, and compliance practices across AI platforms.
• Implement FinOps practices and manage billing for AI platforms.
• Manage technology budgets, resources and vendor relationships effectively.
• Ensure compliance with industry standards and regulations.
• Goal setting and performance management for platform engineering teams.
• Provide leadership, guidance and mentorship to various levels within teams.

• Bachelor's degree in Computer Science, Information Systems, Engineering or related field.
• Master's degree preferred.
• Agile certification from a recognized institution is advantageous.
• 15+ years of experience in platform engineering, cloud infrastructure, or software development, with significant leadership experience.
• 8+ years managing technology development, implementation and ongoing improvement.
• Deep expertise in cloud architecture (AWS/Azure), cloud-native technologies, and infrastructure as code.
• Proven experience with AI/ML platforms and technologies.