AstraZenecaCETDirector, Advanced Analytics & AI, Customer Experience & IT

Osaka - Japan

Monthly Salary: Not Disclosed

Posted on: 21 hours ago

Vacancies: 1 Vacancy

Job Summary

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 Japans 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

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

Location

Osaka or Tokyo

Date Posted

26-2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.

Required Experience:

Director

Job purposeAs 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 automatio...