Associate Director, AI Product Owner

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 AstraZenecasGlobal Clinical SolutionsEmergingTechnologiesteam 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 andAIto deliver practical scalable AI solutions that improve study delivery efficiency and data quality. Operating within a regulatedGxPenvironment 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 andmaintainproduct roadmapsfor assigned AI-enabled clinical systems prioritizing features based on user value feasibility and compliance requirements
• Translate business and operational needsinto user stories acceptance criteria and backlog items within agile frameworks (ScrumSAFe Kanban)
• Manage the full product lifecycle from requirements gathering and development through validation deployment and retirement in alignment withGxPstandards
• Identifyand scope AI improvement opportunitieswithin assigned systems focusing on automation NLP and predictive capabilities that reduce manual burden and accelerate study delivery
• Monitor system performanceagainst defined KPIs using data to drive prioritization and continuous improvement

Collaborate Across Functions

• Partner with R&D IT Data Science Clinical Operations and QAto co-develop solutions that are technically sound user-centered and audit-ready
• Engage vendors and technology partnersto 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 bodiesand steering committees relevant to assigned systemsrepresentingbusiness 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 andmaintainsystem documentation validation plans user requirements risk registers to ensure audit and inspection readiness
• Champion responsible AI practicesincluding bias awareness transparency and data privacy (GDPR HIPAA) within the scope of assigned products
• Support audit and regulatory inspectionpreparation and conduct providing documentation and subject matterexpertise

Drive Continuous Improvement

• Define and track KPIsfor system performance user adoption and compliance adherence
• Apply process improvement methodologies(e.g. Lean Six Sigma) toidentifyinefficiencies and deliver measurable operational gains
• Stay current with AI/ML developmentsrelevant 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.
• Proficiencyin agile deliverymethodologies(ScrumSAFe 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 producingGxP-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 (Mastersor PhD) in a relevant discipline
• Recognized agile certification (Certified Scrum Product OwnerSAFePO/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

Closing Date

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.