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Assistant Manager, Data Engineering and AI (Insurance)

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Hybrid

Assistant Manager, Data Engineering and AI (Insurance)

Generali Life (Hong Kong) Limited

Assistant Manager, Data Engineering and AI (Insurance)

Skills

Data EngineeringData ScienceData AnalysisAIBudgeting

2 months ago

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Important information


Contract type:

Permanent

Work mode:

Hybrid

Published on:

4 September 2026

What they need


Generali is one of the largest integrated insurance and asset management groups worldwide, with a total premium income of € 98.1 billion and € 900 billion AUM in 2025. Established in 1831, with over 88,000 employees and 163,000 advisors serving 75 million customers, the Group has a leading position in Europe and a growing presence in Asia and America. At the heart of Generali’s strategy is its Lifetime Partner commitment to customers, achieved through innovative and personalised solutions, best-in-class customer experience and its digitalised global distribution capabilities. The Group has fully embedded sustainability into all strategic choices, with the aim to create value for all stakeholders while building a fairer and more resilient society.

Key Responsibilities:

  • Support business and technology transformation initiatives with a focus on Data and AI solutions
  • Evaluate, recommend, and onboard appropriate Data and AI technologies, platforms, and architectural approaches, considering business benefits, total cost of ownership, scalability, ease of management, and long-term sustainability
  • Define and maintain data and AI architectural models, standards, and best practices to ensure alignment with IT strategy, business objectives, and enterprise governance requirements
  • Plan, develop, manage, and deliver technology enablement projects and proofs of concept, ensuring successful implementation within agreed timelines, budgets, and expected business outcomes
  • Collaborate with business units, IT teams, and other stakeholders to identify opportunities for applying data, AI, automation, and emerging technologies to improve business processes and decision-making
  • Manage assigned projects, ad hoc initiatives, and other responsibilities as directed by the Supervisor or Head of IT
  • Support IT budget planning, monitoring, and related administrative matters

Key Requirements:

  • Bachelor’s degree in Computer Science, Information Technology, Data Science, Engineering, or a related discipline
  • Minimum 6 years of experience in delivering enterprise-level Data and AI solutions, technology transformation projects, or solution architecture initiatives
  • Solid understanding of banking and/or insurance business processes, systems, and regulatory considerations
  • Hands-on knowledge of data warehouse concepts, AI technologies, data platforms, and modern analytics solutions
  • Good understanding of cloud service models, including IaaS, SaaS, and PaaS
  • Knowledge of data governance principles, frameworks, and best practices, including data quality, metadata management, and data lifecycle management
  • Experience with data management tools and processes, including data cleansing, quality control, metadata management, and governance implementation
  • Experience in project management, solution architecture design, and software delivery methodologies such as TDD, BDD, DDD, Agile, or other relevant development approaches
  • Strong communication, stakeholder management, and collaboration skills, with the ability to work effectively across business units, back-office functions, and IT teams.
  • Previous experience in IT budget planning, tracking, or cost management is an advantage.
  • Self-motivated, analytical, and business-oriented, with a strong interest in applying Data and AI to solve practical business challenges

We offer 5-day work, good career prospects and attractive remuneration package to the right candidates. Interested parties please send full resume with current & expected salary.

Personal data collected will be strictly used for recruitment purpose only. All unsuccessful applications will be destroyed after two years

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