{"id":170311,"url":"https://alion.io/job/astrazeneca-astrazenecacetdirector-advanced-analytics-ai-customer-experience-it","title":"【AstraZeneca】【CET】Director, Advanced Analytics & AI, Customer Experience & IT","company":{"id":13195,"name":"AstraZeneca","domain":"astrazeneca.com","url":"https://alion.io/company/astra-zeneca","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":92,"open_postings":129,"ghost_share":0,"stale_share":0.496,"repost_share":0.07,"time_to_fill_p50_days":19,"computed_at":"2026-10-28T05:59:10Z"}},"role":"Leadership","role_family":"Leadership","seniority":"head","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Osaka, Japan","Tokyo, Japan"],"countries":["JP"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":80000,"max_usd":171000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":23},"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Hallucination","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"LLMOps","optional":false},{"name":"RAG","optional":false}],"status":"live","first_seen_at":"2026-03-06T00:00:00Z","employer_posted_date":"2026-03-06","last_verified_at":"2026-10-29T02:51:41Z","board_verified":true,"closed_at":null,"days_open":237,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":237},"description":"Job purpose\nAs 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.\nThis 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.\nThe role transforms AI from isolated experiments into enterprise-grade intelligent applications embedded in daily decision-making.\nRole and Responsibilities\n1) AI & Intelligent Application Strategy\nDefine Japan’s AI roadmap covering:Agentic AI systems\nGenerative AI applications\nDecision intelligence\nPredictive and prescriptive analytics\n\nIdentify high-impact use cases aligned with business priorities\nEnsure AI initiatives are outcome-driven, not technology-driven\nAlign with global AI architecture and governance principles\n2) Agentic AI & Modern AI Systems\nDesign and deploy AI agents that:Perform multi-step reasoning\nInteract with enterprise systems (CRM, Data Lake, content repositories)\nAutomate workflows with human-in-the-loop governance\n\nDefine orchestration patterns for agent collaboration\nEstablish guardrails for autonomy levels (Human-led / Co-led / AI-led)\nEnsure auditability, explainability, and logging standards\nThis role typically leads early-stage and capability-defining initiatives, not incremental enhancements.\n3) Generative AI & Knowledge Systems\nDevelop RAG-based assistants for:Strategy drafting\nInsight extraction\nField planning\nContent optimization\n\nDefine vector architecture, retrieval standards, and prompt governance\nEnsure safe and compliant usage in regulated environments\nDrive reusable AI building blocks rather than isolated bots\n4) Advanced Analytics & Predictive Modeling\nLead development of models including:Segmentation & targeting\nPotential estimation\nForecasting & scenario simulation\nImpact & KPI gap analysis\n\nEstablish model lifecycle standards (validation, drift monitoring, retraining)\nPartner with Data & BI for production data pipelines\n5) AI Governance & Risk Management\nDefine evaluation protocols (offline & live)\nMonitor bias, drift, hallucination, and performance degradation\nEnsure compliance with regulatory, privacy, and MLR standards\nMaintain model and agent registry with full traceability\n6) From PoC to Scalable AI Capability\nCollaborate with Strategy & Demand on business framing\nRun or co-run AI PoCs with clear value metrics\nDefine Scale-ready artifacts (SLOs, monitoring, rollback strategy)\nEstablish LLMOps / MLOps standards for sustainable deployment\n7) AI Capability Building\nBuild and lead AI engineers, data scientists, and AI product leads\nPromote AI literacy across business stakeholders\nEstablish internal reusable AI components (agent templates, evaluation kits)\nFoster disciplined experimentation culture\nRequirements\nEducation\nMS or PhD in Data Science, AI, Computer Science, or related field preferred\nExperience\n12+ years in analytics, AI, or engineering leadership\nHands-on experience deploying AI systems beyond experimentation\nExperience in regulated industry preferred\nProven ability to drive business adoption of AI\nTechnical Expertise\nAgent frameworks and orchestration\nGenerative AI, RAG, vector databases\nMLOps / LLMOps\nAPI-first and event-driven architecture\nPredictive modeling and statistical learning\nObservability and monitoring frameworks\nBusiness Skills\nStrong commercial acumen\nAbility to translate AI into measurable impact\nExecutive communication\nPortfolio prioritization\nLanguage\nFluent Japanese; business-level English\nCareer Level\nF\nLocation\nOsaka or Tokyo\nDate Posted\n06-3月-2026Closing Date\nAstraZeneca 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. 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