Location: Warsaw, Poland
Hybrid model of work: 3 days in office, 2 remote per week
Accelerate clinical trials through AI. As Associate Director, AI Product Owner within AstraZeneca's Global Clinical Solutions Emerging Technologies team, you will own the end-to-end lifecycle of AI-powered clinical systems — from roadmap definition through compliant deployment and continuous improvement. You will bridge Clinical Operations, R&D IT, and AI to deliver practical, scalable AI solutions that improve study delivery efficiency and data quality. Operating within a regulated GxP environment, you will balance agile delivery with compliance rigor, translating user needs into validated, production-ready AI capabilities including NLP, predictive analytics, and automation. This role requires strong product ownership, stakeholder engagement, and a working knowledge of AI/ML technologies applied to clinical operations.
Typical Accountabilities:
Own AI Product Delivery
- Define and maintain product roadmaps for assigned AI-enabled clinical systems, prioritizing features based on user value, feasibility, and compliance requirements
- Translate business and operational needs into user stories, acceptance criteria, and backlog items within agile frameworks (Scrum, SAFe, Kanban)
- Manage the full product lifecycle — from requirements gathering and development through validation, deployment, and retirement — in alignment with GxP standards
- Identify and scope AI improvement opportunities within assigned systems, focusing on automation, NLP, and predictive capabilities that reduce manual burden and accelerate study delivery
- Monitor system performance against defined KPIs, using data to drive prioritization and continuous improvement
Collaborate Across Functions
- Partner with R&D IT, Data Science, Clinical Operations, and QA to co-develop solutions that are technically sound, user-centered, and audit-ready
- Engage vendors and technology partners to manage feature delivery, resolve issues, and ensure contractual alignment
- Act as the voice of the end user, synthesizing feedback from study teams and clinical operations to continuously refine AI product capabilities
- Contribute to governance bodies and steering committees relevant to assigned systems, representing business interests in prioritization and risk decisions
- Ensure Compliant AI Adoption
- Embed regulatory compliance (ICH/GxP, FDA, EMA) throughout the product lifecycle, including validation planning, risk assessments, and SOP maintenance
- Produce and maintain system documentation — validation plans, user requirements, risk registers — to ensure audit and inspection readiness
- Champion responsible AI practices including bias awareness, transparency, and data privacy (GDPR, HIPAA) within the scope of assigned products
- Support audit and regulatory inspection preparation and conduct, providing documentation and subject matter expertise
Drive Continuous Improvement
- Define and track KPIs for system performance, user adoption, and compliance adherence
- Apply process improvement methodologies (e.g., Lean Six Sigma) to identify inefficiencies and deliver measurable operational gains
- Stay current with AI/ML developments relevant to clinical operations, surfacing applicable innovations for consideration within the product roadmap
Essential
- Bachelor of Science in Computer Science, Data Science, Life Sciences, or equivalent experience.
- Proficiency in agile delivery methodologies (Scrum, SAFe, Kanban) with experience managing backlogs, writing user stories, and defining acceptance criteria
- Working knowledge of AI/ML technologies — including NLP, predictive analytics, and automation — and their application to clinical or regulated environments
- Experience in a regulated industry (pharma, biotech, medical devices, or healthcare) with knowledge of ICH/GxP, FDA, or EMA standards
- Experience producing GxP-compliant system documentation, including validation plans, risk assessments, and SOPs
- Strong written and verbal communication skills, with ability to translate technical concepts for non-technical stakeholders
Desirable
- Advanced degree (Master's or PhD) in a relevant discipline
- Recognized agile certification (Certified Scrum Product Owner, SAFe PO/PM, or equivalent)
- Hands-on experience with AI/ML platforms
- Experience with Lean Six Sigma or equivalent process improvement methodologies
- Experience with project management tools (e.g., Jira) and service management practices
- Experience managing external vendors and technology partners
- Understanding of data privacy regulations (GDPR, HIPAA) and their implications for AI product development
Date Posted
30-cze-2026
Closing Date
14-lip-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.
