Director, AI Product Owner
Poland - WarsawCompetitiveHybridFull time0 applicants
About this role
Location:
Warsaw, Poland
Hybrid model of work:
Requirements
- Bachelor of Science
- in Computer Science, Data Science, Engineering, Life Sciences, or equivalent discipline (or equivalent experience).
- Extensive experience (8+ years)
- in product management or product ownership, with a proven
- track record
- of delivering AI/ML-powered products or digital solutions.
- Deep
- expertise
- in agile delivery methodologies
- (Scrum,
- SAFe
- , Kanban) with
- demonstrated
- ability to apply these frameworks in complex, regulated environments.
- Strong understanding of AI/ML technologies
- , including generative AI, natural language processing, predictive
- analytics, and their application to biopharmaceutical R&D or clinical operations.
- Proven experience in regulated industries
- (pharmaceutical, biotechnology, medical devices, or healthcare), with knowledge of ICH/
- GxP
- , FDA, EMA, or equivalent regulatory standards.
- Demonstrated ability to collaborate effectively with R&D IT, Clinical Development, Data Science, and senior leadership teams
- , driving alignment and delivering strategic outcomes.
- Exceptional communication and influencing skills
- , with the ability to translate complex technical concepts into clear, actionable insights for diverse stakeholders.
- Strong analytical and problem-solving capabilities
- , with experience using data to inform product decisions, prioritize features, and measure impact.
- Experience managing product backlogs, writing user stories, and defining acceptance criteria
- within agile frameworks.
- Proven ability to navigate ambiguity, manage competing priorities, and deliver results
- in fast-paced, dynamic environments.
Nice to have
- Advanced degree (
- Master's
- or PhD)
- in Computer Science, Data Science, Engineering, Life Sciences, or related field.
- Recognized agile certifications
- (Certified Scrum Product Owner,
- SAFe
- Product Owner/Product Manager, or equivalent).
- Experience with AI governance frameworks, responsible AI practices, and ethical AI principles
- , including bias mitigation, transparency, and explainability.
- Hands-on experience with AI/ML tools, platforms, and frameworks
- (e.g., TensorFlow,
- PyTorch
- , Azure AI, AWS SageMaker, Databricks).
- Knowledge of clinical trial processes, clinical data standards (CDISC, SDTM, ADaM), and electronic data capture (EDC) systems
- .
- Experience with Lean Six Sigma or similar process improvement methodologies
- , including root cause analysis and continuous improvement initiatives.
- Proven
- track record
- of leading large-scale, transformative AI initiatives
- from concept to deployment, with measurable business impact.
- Experience working with external technology vendors and partners
- , including contract negotiation, vendor management, and issue escalation.
- Strong understanding of data privacy regulations
- (GDPR, HIPAA) and their implications for AI product development.
- Expert reputation within the biopharmaceutical industry or AI product management community
- , with thought leadership contributions (publications, speaking engagements, etc.)
- .
- Date Posted
- 13-kwi-2026
- Closing Date
- 29-kwi-2026
- AstraZeneca embraces diversity and equality of opportunity. Â 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. Â We believe that the more inclusive we are, the better our work will be. Â We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. Â 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.