AI Capability & Integration Specialist

AI Capability & Integration Specialist

Role Purpose

We are seeking an AI Capability & Integration Specialist to accelerate the responsible, practical, and business-focused adoption of AI across AstraZeneca Belux. This role will identify high-value local use cases, turn business needs into clear implementation roadmaps, and support adoption across functions. Working closely with local teams, global stakeholders, IT, compliance, and external partners, the role will help ensure AI initiatives are aligned with business priorities, delivered compliantly, and embedded in day-to-day ways of working.

Key Responsibilities

• Assess and prioritize local AI use cases with clear business impact
• Develop implementation roadmaps for prioritized initiatives
• Support rollout of AI solutions across functions and stakeholder groups
• Drive cross-functional alignment across business, technical, and governance teams
• Enable adoption of AstraZeneca-approved AI tools through communication, training, and user support
• Contribute to AI capability building through guidance and awareness activities
• Maintain compliance alignment across all AI-related initiatives
• Track progress and continuous improvement of AI adoption efforts

Required Skills and Experience

• Experience in AI, digital transformation, automation, innovation, or process improvement, ideally in a regulated environment
• Proven ability to identify business improvement opportunities and translate them into practical solutions
• Strong understanding of AI and generative AI, including where these technologies can realistically add value
• Experience building implementation plans or transformation roadmaps
• Strong stakeholder management, communication, presentation, and collaboration skills
• Experience supporting change management, adoption, training, or capability building
• Working knowledge of Microsoft 365 and enterprise workflow automation toolsor similar AI-enabled platforms is preferred
• Deep hands-on coding or engineering experience is not required

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data/AI, Business, Life Sciences, or a related field
• Minimum 3 years of relevant experience in AI, digital, automation, transformation, innovation, or process improvement roles
• Fluency in English required; Dutch or French is a plus

Preferred Profile

• Business-focused and curious, with a strong interest in how AI can improve performance
• Structured problem-solver who can move from strategic thinking to practical execution
• Comfortable working across functions and in ambiguous environments
• Credible with both business and technical audiences
• Able to simplify complex topics and support adoption of new ways of working in a compliant, value-focused way
• Inspirational and driver in change management

Date Posted

02-Jun-2026

Closing Date

15-Jun-2026

AstraZeneca embraces diversity and equality of opportunity.  We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills.  We believe that the more inclusive we are, the better our work will be.  We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics.  We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.

AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorisation and employment eligibility verification requirements.