AI Manager

About the Role

Lead AVA Group’s AI transformation by translating Group business strategy into a practical, prioritised AI and automation roadmap, and by personally providing the technical leadership needed to design, implement and scale solutions across all entities. The AI Manager is accountable for end-to-end project delivery, timelines, integration, governance, user adoption and measurable improvements in productivity, decision-making, quality and cost efficiency.

Main Accountabilities

Business strategy alignment & AI roadmap

• Partner with Group management and entity leaders to understand strategic priorities, business challenges and transformation opportunities.
• Develop and maintain the Group AI strategy, target architecture, implementation roadmap and prioritised portfolio based on value, feasibility, dependencies and risk.
• Convert strategic objectives into defined use cases, business cases, milestones, resource plans and measurable success criteria.

Hands-on technical solution delivery

• Lead and actively contribute to solution architecture, prototyping, development, configuration, integration, testing and deployment of AI agents and intelligent automation.
• Apply practical expertise in generative AI, LLMs, RAG, workflow automation, analytics, APIs, databases and enterprise integrations to deliver production-ready solutions.
• Integrate approved AI solutions with ERP, finance, HR and operational systems while ensuring robust data quality, exception handling and operational support.

Program execution & accountability

• Manage concurrent initiatives from discovery to benefits realisation, maintaining realistic project plans, deadlines, budgets, dependencies and risk registers.
• Coordinate internal teams, business process owners, external specialists and vendors; escalate blockers and provide regular, evidence-based progress reporting.
• Ensure requirements, acceptance criteria, testing, business sign-off, documentation and handover are completed before go-live.

Business transformation, adoption & value

• Manage concurrent initiatives from discovery to benefits realisation, maintaining realistic project plans, deadlines, budgets, dependencies and risk registers.
• Coordinate internal teams, business process owners, external specialists and vendors; escalate blockers and provide regular, evidence-based progress reporting.
• Ensure requirements, acceptance criteria, testing, business sign-off, documentation and handover are completed before go-live.

AI governance & responsible deployment

• Implement proportionate AI risk assessment, data protection, access controls, human oversight, audit trails and monitoring.
• Ensure solutions comply with applicable Group policies, contractual requirements and relevant regulatory or quality-system obligations.
• Maintain clear ownership, documentation, incident escalation and lifecycle controls for AI-enabled processes.

Qualifications & Experience

• Degree in Computer Science, Artificial Intelligence, Software Engineering, Data Science, Information Systems or related discipline.
• Typically, 4–5 years in software engineering, enterprise technology or digital transformation, including substantial hands-on AI/automation delivery experience.
• Proven ability to translate business strategy into a delivery roadmap and manage several cross-functional projects against milestones and budgets.
• Demonstrable experience building and deploying AI solutions and integrating enterprise applications through APIs and data platforms.
• Experience with ERP environments, manufacturing or regulated industries is advantageous; Sage X3 experience is desirable.

Skills & Attributes

• Strong applied knowledge of LLMs, AI agents, RAG, prompt/evaluation design, automation orchestration and production monitoring.
• Practical development capability in Python, SQL, APIs, data engineering and cloud or enterprise AI platforms; ability to review and troubleshoot code.
• Sound knowledge of enterprise architecture, system integration, cybersecurity, identity/access controls and data governance.
• Project and vendor management, budgeting, prioritisation, business analysis, stakeholder engagement and change leadership.
• Commercial judgement, communication skills and ability to work autonomously across multiple Group entities.

How to Apply

Interested employees are encouraged to submit their applications by latest 25/11/2026.
Please include:

• An updated resume & motivation letter

Submit your application by e-mail to Dominique Aza: [email protected] with subject ‘AI Manager’ as e-mail subject.