AI Transformation Lead
Role details
Job location
Tech stack
Job description
Operate at portfolio level, ensuring that AI initiatives are prioritised, governed and scaled in line with institutional strategy.
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Serve as the Single Point of Contact (SPOC) for the ITM AI Committee and liaise across different units
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Define the institutional AI strategy and translate into clear, timebound roadmaps
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Track AI proof of concepts (POCs) across research, education, medical services and administration
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Support POC intake and budget follow-up
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Define success metrics, KPIs, and evaluation criteria for AI POCs
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Ensure alignment with the institutional AI strategy, governance framework and PMO portfolio processes
AI Opportunity Identification
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Identify and assess high-value AI use cases (e.g., ML, NLP, computer vision, generative AI)
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Monitor relevant AI developments and evaluate applicability within ITM
Business Analysis & Requirements Gathering
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Analyse processes, challenges, and opportunities for AI integration and process improvements.
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Translate approved AI POCs into scalable projects and clear requirements for IT teams.
Project Delivery & Stakeholder Management
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Support end-to-end delivery of scaling up AI POCs into projects
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Facilitate workshops, demos, and training sessions to strengthen AI literacy and adoption.
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Report AI committee activities towards the head of PMO and work closely with the PMO team to ensure alignment with the PMO portfolio.
Data & Technology
- Collaborate with IT technical leads and scientist to ensure data readiness for AI models, feasibility, safety, cloud security, data management and long-term sustainability.
Requirements
Bachelor's or Master's degree in Data Science, Business, Information Systems, or a related field
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3+ years of experience as an AI Business Analyst, AI Transformation Lead, AI program manager or similar role
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Proven track record in AI transformation initiatives
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Strong understanding of AI technologies and their organizational applications
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Solid understanding of AI/ML concepts and lifecycle
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Knowledge of data visualization is a plus
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Experience working with cross-functional teams (IT, data, business)
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Experience in stakeholder management
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Excellent communication, analytical, facilitation and problem solving skills
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Professional knowledge of English is required
Benefits & conditions
A full-time position of indefinite duration (up to 80% negotiable), starting as soon as possible
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A dynamic, supportive work environment with strong focus on work-life balance and personal development.
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A workplace in the vibrant centre of Antwerp, easily accessible by public transport; remote work up to 50% of monthly working time
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A salary based on experience, complemented by benefits such as meal vouchers, supplementary pension, bicycle allowance and/or public transport subscription