【AstraZeneca】【CET】Director, Advanced Analytics & AI, Customer Experience & IT
About this opportunity
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.
Job details
How this role compares
Computed from every other active Commercial & General Management role in our database, not just this employer's listings.
We currently track 9 comparable Director Commercial & General Management roles across 2 biopharma companies.
Salary context
2 of 9 peers report a salary range (USD, annualized)
Peers share this role's job function and a matching or adjacent seniority level -- not necessarily the same therapeutic area or country.
Where these roles are based
Top locations among the 9 comparable roles
Seniority mix
9 of 9 peers have a known seniority level
Therapeutic area mix
3 of 9 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
Similar opportunities
The closest matches from our peer group, ranked by how similar they are, not how well you'd qualify for them -- treat this as market context, not a guaranteed shortlist; a weak match is labeled as one below.
How we calculate "similar"
No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.
Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.
0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.