This role typically leads early-stage and capability-defining initiatives, not incremental enhancements.
3) Generative AI & Knowledge Systems
Develop RAG-based assistants for
Strategy drafting
Insight extraction
Field planning
Content optimization
Define vector architecture, retrieval standards, and prompt governance
Ensure safe and compliant usage in regulated environments
Drive reusable AI building blocks rather than isolated bots
4) Advanced Analytics & Predictive Modeling
Lead development of models including
Segmentation & targeting
Potential estimation
Forecasting & scenario simulation
Impact & KPI gap analysis
Establish model lifecycle standards (validation, drift monitoring, retraining)
Partner with Data & BI for production data pipelines
5) AI Governance & Risk Management
Define evaluation protocols (offline & live)
Monitor bias, drift, hallucination, and performance degradation
Ensure compliance with regulatory, privacy, and MLR standards
Maintain model and agent registry with full traceability
6) From PoC to Scalable AI Capability
Collaborate with Strategy & Demand on business framing
Run or co-run AI PoCs with clear value metrics
Define Scale-ready artifacts (SLOs, monitoring, rollback strategy)
Establish LLMOps / MLOps standards for sustainable deployment
7) AI Capability Building
Build and lead AI engineers, data scientists, and AI product leads
Promote AI literacy across business stakeholders
Establish internal reusable AI components (agent templates, evaluation kits)
Foster disciplined experimentation culture
Requirements
Education
MS or PhD in Data Science, AI, Computer Science, or related field preferred
Experience
12+ years in analytics, AI, or engineering leadership
Hands-on experience deploying AI systems beyond experimentation
Experience in regulated industry preferred
Proven ability to drive business adoption of AI
Technical Expertise
Agent frameworks and orchestration
Generative AI, RAG, vector databases
MLOps / LLMOps
API-first and event-driven architecture
Predictive modeling and statistical learning
Observability and monitoring frameworks
Business Skills
Strong commercial acumen
Ability to translate AI into measurable impact
Executive communication
Portfolio prioritization
Language
Fluent Japanese; business-level English
Career Level
F
Location
Osaka or Tokyo
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.
