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東京都のデータエンジニアの求人346件応募資格・募集要項・仕事内容を見る
Head of Data & Context Engineering
- 給与
- 記載なし
- 勤務地
- 東京都
- 休日
- 記載なし
- 雇用形態
- 記載なし
- ハイブリッド勤務
- 在宅勤務あり
どんな仕事かAIによる生成
Build and lead an in-house data and context engineering team, culture and platform at Manulife Japan. Own the data platform as a product, embed governance and DataOps into it, and work with the AI team to build the context layer used by AI agents.
この求人に応募
応募資格
必須
- 10+ years in data engineering or data platforms, including 5+ years leading engineering teams.
- Proven track record of building an in-house data engineering team and culture.
- Experience running an enterprise cloud data platform as a product (Azure, Databricks or equivalent).
- Strong CI/CD, test automation and infrastructure-as-code practice applied to data.
- Experience building governance into a platform (access, lineage, data quality, policy as code).
- Cutting-edge data architecture skills, including data for AI (semantic, metadata and ontology layers, context for AI agents).
- Ability to influence senior business and technology leaders.
- Business-level English.
歓迎
- Business-level Japanese.
- Experience with agile operating models (squads, chapters, product ownership).
- Hands-on experience with GenAI and AI agent tooling.
- Experience building self-service platforms for citizen developers.
- Experience driving data transformation in a complex or legacy environment.
- Experience in insurance, financial services or another regulated industry.
求める人物像
- You obsess about customers, listen, engage and act for their benefit
- You think big, with curiosity to discover ways to use your agile mindset and enable business outcomes
- You thrive in teams, and enjoy getting things done together
- You take ownership and build solutions, focusing on what matters
- You do what is right, work with integrity and speak up
- You share your humanity, helping us build a diverse and inclusive work environment for everyone
募集要項最終確認 11/5
- 職種
- データエンジニア
- 雇用形態
- 記載なし
- 役職
- Head of Data & Context Engineering
- 給与
- 記載なし
- 勤務地
- 東京都
- 働き方
- Hybrid
- 経験年数
- 10年以上
- 掲載日
- 2026/10/13 06:28（23日前）
- 最終確認
- 2026/11/05 00:21（今日）
仕事内容
The Opportunity
- Data and AI are coming together at Manulife Japan, and we are rebuilding our data foundations from scratch to help the company win beyond its scale. Our goal is one trusted context, a shared understanding of our customers, distributors and business, captured as the work happens and used by every employee and AI agent.
- This is a mandate to build the team, the platform and the engineering culture from scratch, on a modern cloud and AI stack. The Head of Data & Context Engineering builds an in-house data and context engineering capability, runs our data platform as a product, and builds data governance into the platform itself. The role is hands-on. It partners with senior leadership, our Technology department and Regional and Global Data & AI Teams on data strategy and execution.
What success looks like in 24 months:
- · A strong data and context engineering culture is in place, with an internal team that owns what it builds.
- · Product teams deliver faster because data is ready, reliable and easy to use.
- · Data governance is robust and lean, enforced by the platform rather than by manual reviews.
- · Hundreds of Data & AI champions build their own solutions on a self-service platform.
- · Customers and distributors get better outcomes, delivered through a network of AI agents that both feed and use this shared intelligence.
Position Responsibilities:
- · Build and lead an in-house data and context engineering team and culture: hire, grow and set the engineering standards.
- · Own the data platform as a product: self-service data, a catalog, and access that takes minutes once users are trained.
- · Own data governance and build it into the platform: access, lineage, quality and policy enforced automatically. Partner with data stewards on day-to-day stewardship.
- · Run DataOps: CI/CD, test automation and infrastructure as code, to release small changes often and safely.
- · With the AI team, build the context layer that AI agents rely on: a semantic layer, core metrics defined once, and metadata captured as the work happens. Use AI to automate data engineering and governance.
- · Engage senior leadership on data strategy and steer data governance with business data owners. Work closely with Technology and Regional and Global teams on architecture, standards and platform direction.
この求人は、マニュライフ生命保険株式会社の採用ページの内容をAIが読み取って整理したものです。応募の前に採用ページの原文を確かめてください。データの集め方企業サイト
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募集元の採用ページから応募できます
応募はマニュライフ生命保険株式会社の採用ページで受け付けています。このページは採用ページの掲載内容をもとに構成しているため、最新の応募条件は募集元でご確認ください。
この求人と近い条件で探す数字はリンク先ページの掲載件数
応募資格の語から探す
- データエンジニア458
- データ基盤1,232
- クラウド7,491
- Microsoft Azure4,026
- Databricks371
- CI/CD1,757
- テスト自動化604
- Infrastructure as Code（IaC）944
- データガバナンス330
- アーキテクチャ設計2,217
- AIエージェント1,134
- 英語18,041
- 日本語7,881
- アジャイル開発1,873
- 生成AI3,515
この職種で探す
- データエンジニア458
- 東京都のデータエンジニア346
- テック15,988
- AIエンジニア475
- データサイエンティスト293