Director, Advanced Analytics & AI, Customer Experience & IT

募集要項

仕事内容

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

応募条件

【必須事項】

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

【歓迎経験】

【免許・資格】

【勤務開始日】

応相談

学歴

大学院修士以上

雇用形態

正社員

試用期間

3ヶ月

勤務地

転勤の有無

転勤なし

受動喫煙防止措置

敷地内禁煙（喫煙場所なし）

勤務時間

フレックスタイム制
フルフレックス（コアタイムなし）
標準勤務時間帯: 9:00～17:15 （所定労働時間：7時間15分）

勤務開始日

応相談

休日休暇

年間休日数：123
土日祝
年間有給休暇：入社半年経過時点12日（入社月に応じて4日～最高20日）　 ～ 20日
法定休暇：年次有給休暇、産前産後休暇
その他休暇：リフレッシュ休暇、頭痛休暇他

年収・給与

年収　　1000万円～1300万円　経験により応相談

諸手当

通勤手当、単身赴任手当、休日手当ほか

昇給

年１回

賞与

有

採用人数

1名　

待遇・福利厚生

通勤手当：有
確定拠出年金、財形貯蓄制度・持株会制度・慶弔見舞金・健康診断・福利厚生倶楽部ほか

各種制度

健康保険：有
雇用保険：有
労災保険：有
厚生年金：有
退職金制度：有

選考プロセス

１）書類選考
２）一次面接
３）最終面接