【AstraZeneca】【CET】Director, Advanced Analytics & AI, Customer Experience & IT

Job purpose
As a leadership team member within Customer Experience & IT (CET), the Director – Advanced Analytics & AI is accountable for designing, building, and scaling modern AI capabilities — including agentic AI systems, generative AI applications, predictive analytics, and intelligent workflow automation — across Commercial, Medical, and Enabling functions.
This role leads the end-to-end lifecycle of AI-driven capabilities, ensuring they are, Business-relevant, Technically robust, Governed and compliant, and Scalable beyond pilot.
The role transforms AI from isolated experiments into enterprise-grade intelligent applications embedded in daily decision-making.

Role and Responsibilities
1) AI & Intelligent Application Strategy
Define Japan’s AI roadmap covering:Agentic AI systems
Generative AI applications
Decision intelligence
Predictive and prescriptive analytics

Identify high-impact use cases aligned with business priorities
Ensure AI initiatives are outcome-driven, not technology-driven
Align with global AI architecture and governance principles

2) Agentic AI & Modern AI Systems
Design and deploy AI agents that:Perform multi-step reasoning
Interact with enterprise systems (CRM, Data Lake, content repositories)
Automate workflows with human-in-the-loop governance

Define orchestration patterns for agent collaboration
Establish guardrails for autonomy levels (Human-led / Co-led / AI-led)
Ensure auditability, explainability, and logging standards
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
EducationMS 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
LanguageFluent Japanese; business-level English

Career Level
F

Location
Osaka or Tokyo

Date Posted
06-3月-2026
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.