Transformation Manager Data & AI

Project overview

As Transformation Manager, you will lead the multi-year Data & AI program of Maastricht UMC+ and bring together strategy, governance, portfolio, and technology.

Profile of the suited interim professional:

• Set up and maintain the program plan, roadmap, benefits structure, and investment framework for 2027-2030
• Translate the organizational strategy into a supported Data & AI strategy with an accompanying KPI framework
• Establish the steering model, decision rights, escalation paths, and the positioning of the Data Office
• Organize an integrated intake, architecture and compliance check, and prioritization of initiatives in the portfolio
• Realize strategic workforce planning, new Data & AI roles, and appropriate learning paths
• Ensure data and AI governance in the areas of ownership, quality, privacy, ethics, and patient rights
• Steer data and AI architecture, interoperability, and controlled scaling of use cases
• Ensure that laws and regulations such as the AI Act, EHDS, Wegiz, and GDPR are processed in the roadmap and decision-making in a timely manner
• Coordinate with regional partners such as RSO Zuid-Limburg and national collaborations
• Manage program and project capacity and ensure knowledge and management within the organization
• Academic working and thinking level
• Ten years or more of experience in managing programs or transformations in the field of Data, AI, digitalization, or complex IT environments
• Demonstrable experience in leading multi-year change programs with multiple tracks and investments of several million euros
• Experience with setting up program management, a program team, and governance or portfolio processes
• Experience with organizational change, adoption, and sustainable embedding in the line
• Knowledge of data and AI strategy, data governance, Responsible AI, portfolio management, and value realization
• Sufficient technical depth to critically assess architecture, platform choices, and supplier solutions
• Knowledge of applicable laws and regulations such as the AI Act, EHDS, Wegiz, GDPR, and the principles of privacy/security by design
• Affinity with standards and techniques such as FHIR, openEHR, semantic standards, data catalogs, data lineage, and ML operations
• Familiarity with MSP or a similar program methodology, as well as agile working at portfolio level, is recommended
• Experience within the healthcare sector, research, education, or a comparable knowledge-intensive and administratively complex context is a strong advantage

Project details

• Start: flexible
• Duration: 7 months
• Location: Limburg, Brabant, Limburg, Zeeland, NL
• Languages: Dutch