Director, AI and Process Automation
Location: Barcelona - Spain (3 days working from the office and 2 days working from home)
Introduction to the role
Cell Therapy Clinical Operations (CTCO) drives thedelivery of cell therapy trials across Oncology, BioPharma, and Rare Diseases,partnering across R&D, Medical, and Commercial to bring breakthrough therapies to patients faster and more equitably.
AsDirector,AIand Process Automationyou will accelerate trial start-up and execution, and improve quality and compliance by integrating advanced analytics, ML, and intelligent process automation withGxP-ready standards.
TheDirector of AI and Process Automationworksclosely with R&D IT (Information Technology),Global Clinical Solutions, Business Process Management Office (BPMO), internal and externalcustomersand stakeholders to ensure customer needs are met and to enableoptimalend-to-end delivery of clinical studies.TheDirector of AI and Process Automationis responsible forthe identification,definitionand delivery of improvements in end-to-end clinical study deliveryin compliance withICH-GxPand other regulationsand aligns with industry direction, standards, and best practices.
TheDirector of AI and Process Automationrepresentsthe business interests in strategy discussions andworks withappropriateGovernanceteamstosecurelong-term business success of their assignedsolutions. Reviews and approves identified risks and mitigations, controls and prioritizes business requests, such as those for feature enhancements, ensuring prioritization so resources are spent on value-add activities. Accountable for communication to key stakeholders and the businessregardingthe system (major incidents, new releases, etc.).TheDirector of AI and Process Automationwill contribute to functional, regional and or global initiatives.
Typical Accountabilities
Defines vision,roadmap, prioritize effective to drivegrowth opportunitiesfor AI automation (VCV Platform,AIefficiencies supporting protocol & document review, feasibility, etc)
Design and implement AI/ML and workflow automation forclinical ops
Build and leadcross functional solutions; run pilots to scaled adoption; drive vendor selection and governance; measure ROI and operational impact.
Researchand analyses business context, users, and roadmap forassigned solutions
Ensure customer requirements are understood, critically evaluated,prioritisedand addressed within the given area.
Accountable for lifecycle management of all procedural or system documents within theallocatedarea, and for ensuring compliance with applicable industry regulations and AstraZeneca Global and Local Policies.
Partner withR&D IT (Information Technology), Global Clinical Solutions, Business Process Management Office (BPMO),to govern and productize clinicaloperations workflows andenablereal-time decisioning and predictive analytics.
Understands the processes,technologyand services the study team relies on, their needs and pain points. Uses this knowledge to supply advice and guidance, removes barriers, suppliessolutionsand finds opportunities for improvement.
Foster an innovative culture that values experimentation and lead training for broader team on use cases and AIprocess automation
Incubate and scale pilots into production ready solutions (e.g. Gen Ai usecases, agents), drive modernization of internal workflows across CTCO functionsand track performance via KPIs, adoption metrics and ROI models.
Education, Qualifications,Skillsand Experience
Essential
Advanced degree in a relevant field (e.g., Biomedical Engineering, Data Science, Computer Science, Pharmacy, or related) or equivalent experience.
Minimum of 5 years’ experience in clinical research, with at least 2 years in study managementor /and digital /AI transformation within biopharma
Comprehensive knowledge of the clinical and pharmaceutical drug development process.
Excellent knowledge of ICH-GCP principles
Experience and strength in working and leading matrix teams
Track recordof building product- oriented teams (product managers, data scientists, engineers) in an agile environment
Experience working with AI models and solutions
Proven ability in solution focused problem solving and issue management.
Desirable
Higher degree e.g. MSc, PhD
Experience building AI solutions
Experience working with Artificial Intelligenceimplementation
Date Posted
12-feb-2026Closing Date
06-mar-2026AstraZeneca 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.
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