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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 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 Responsibilities1) AI & Intelligent Application StrategyDefine Japan’s AI roadmap covering:Agentic AI systemsGenerative AI applicationsDecision intelligencePredictive and prescriptive analyticsIdentify high-impact use cases aligned with business prioritiesEnsure AI initiatives are outcome-driven, not technology-drivenAlign with global AI architecture and governance principles2) Agentic AI & Modern AI SystemsDesign and deploy AI agents that:Perform multi-step reasoningInteract with enterprise systems (CRM, Data Lake, content repositories)Automate workflows with human-in-the-loop governanceDefine orchestration patterns for agent collaborationEstablish guardrails for autonomy levels (Human-led / Co-led / AI-led)Ensure auditability, explainability, and logging standardsThis role typically leads early-stage and capability-defining initiatives, not incremental enhancements.3) Generative AI & Knowledge SystemsDevelop RAG-based assistants for:Strategy draftingInsight extractionField planningContent optimizationDefine vector architecture, retrieval standards, and prompt governanceEnsure safe and compliant usage in regulated environmentsDrive reusable AI building blocks rather than isolated bots4) Advanced Analytics & Predictive ModelingLead development of models including:Segmentation & targetingPotential estimationForecasting & scenario simulationImpact & KPI gap analysisEstablish model lifecycle standards (validation, drift monitoring, retraining)Partner with Data & BI for production data pipelines5) AI Governance & Risk ManagementDefine evaluation protocols (offline & live)Monitor bias, drift, hallucination, and performance degradationEnsure compliance with regulatory, privacy, and MLR standardsMaintain model and agent registry with full traceability6) From PoC to Scalable AI CapabilityCollaborate with Strategy & Demand on business framingRun or co-run AI PoCs with clear value metricsDefine Scale-ready artifacts (SLOs, monitoring, rollback strategy)Establish LLMOps / MLOps standards for sustainable deployment7) AI Capability BuildingBuild and lead AI engineers, data scientists, and AI product leadsPromote AI literacy across business stakeholdersEstablish internal reusable AI components (agent templates, evaluation kits)Foster disciplined experimentation cultureRequirementsEducationMS or PhD in Data Science, AI, Computer Science, or related field preferredExperience12+ years in analytics, AI, or engineering leadershipHands-on experience deploying AI systems beyond experimentationExperience in regulated industry preferredProven ability to drive business adoption of AITechnical ExpertiseAgent frameworks and orchestrationGenerative AI, RAG, vector databasesMLOps / LLMOpsAPI-first and event-driven architecturePredictive modeling and statistical learningObservability and monitoring frameworksBusiness SkillsStrong commercial acumenAbility to translate AI into measurable impactExecutive communicationPortfolio prioritizationLanguageFluent Japanese; business-level EnglishCareer LevelFLocationOsaka or TokyoDate Posted06-3月-2026Closing DateAstraZeneca 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.