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Manulife Financial

Global financial services: insurance and investments

Head of Data & Context Engineering

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeTokyo, JapanNo salary listedHybrid

About the Job

Requirements

  • At least 10 years of experience in data engineering or data platforms, including at least 5 years leading engineering teams.
  • A proven track record of building an in-house data engineering team and culture.
  • Experience running an enterprise cloud data platform as a product, using Azure, Databricks, or an equivalent platform.
  • Strong continuous integration and continuous delivery, test automation, and infrastructure-as-code practice applied to data.
  • Experience building governance into a platform, including access, lineage, data quality, and policy as code.
  • Cutting-edge data architecture skills, including data for artificial intelligence, semantic, metadata and ontology layers, and context for artificial intelligence agents.
  • Ability to influence senior business and technology leaders.
  • Business-level English.

Responsibilities

  • Build and lead an in-house data and context engineering team and culture; hire, grow, and set engineering standards.
  • Own the data platform as a product, providing self-service data, a catalog, and access that takes minutes once users are trained.
  • Own data governance and build it into the platform, automatically enforcing access, lineage, quality, and policy; partner with data stewards on day-to-day stewardship.
  • Run DataOps, including continuous integration and continuous delivery, test automation, and infrastructure as code, to release small changes often and safely.
  • Work with the AI team to build the context layer that AI agents rely on, including a semantic layer, core metrics defined once, and metadata captured as 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.

Desired Qualifications

  • Business-level Japanese.
  • Experience with agile operating models, including squads, chapters, and product ownership.
  • Hands-on experience with generative AI 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.

About the Company

Manulife Financial

Global financial services: insurance and investments

Manulife Financial is a global financial services provider offering a wide range of insurance and investment solutions. It serves individuals, businesses, and institutions with products such as life and health insurance, wealth management, and retirement plans. Customers fund these products through premiums, fees for asset management, and investment income earned on invested assets. Manulife uses analytics and technology to tailor services and improve efficiency, aiming to help clients protect their finances, grow their wealth, and plan for retirement. The company differentiates itself through its large international presence in North America, Asia, and Europe, its breadth of products, and its emphasis on data-driven insights to personalize offerings. Its goal is to help customers achieve their financial goals and aspirations by providing comprehensive, paid-for financial solutions and ongoing support across multiple regions.

Company size
10,001+
Company stage
IPO
Headquarters
Toronto, Canada
Founded
1887

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