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The Director, Data & Integration, Chapter Lead, is a senior technology leadership role accountable for building and advancing Prudential Hong Kong's Data and Integration engineering capabilities.
The role owns the technical capability, engineering standards, talent, practices and strategic direction across data platforms, data engineering, integration, APIs and related enabling technologies. The Chapter Lead will ensure that engineers deployed into business Journeys have the skills, architecture, platforms and engineering practices required to deliver secure, resilient, scalable and reusable solutions.
Working closely with other Chapter Leads, Journey Leads, Architecture, Information Security & Governance and business stakeholders, the role ensures that technical capabilities collectively cover the end-to-end technology landscape without unnecessary duplication or capability gaps.
Job Responsibilities
Chapter Leadership, People & Capability Development
- Lead the Data & Integration Chapter and establish a strong engineering culture centred on technical excellence, accountability, collaboration and continuous improvement.
- Define the Chapter's capability strategy, technical disciplines and skills roadmap.
- Build succession and career pathways, identify capability gaps and determine appropriate build/buy/partner strategies.
- Strengthen internal capability and reduce inappropriate dependency on external resources
Data Technology & Engineering Leadership
- Own and continuously evolve engineering capabilities for enterprise data platforms, data engineering, pipelines, data services and related technologies.
- Establish standards for development, testing, deployment, observability, performance, resilience and lifecycle management.
- Promote reusable data products, engineering patterns and common capabilities across Journeys.
- Partner with relevant governance functions to enable secure, trusted and appropriately governed enterprise data.
Integration, API & Engineering Leadership
- Provide appropriately skilled Data & Integration engineers into multidisciplinary Journeys according to business priorities.
- Maintain Chapter accountability for technical standards, capability development and engineering excellence while resources operate within Journey teams.
- Partner with Journey Leads to balance near-term delivery with long-term technology sustainability.
- Work with other Chapter Leads to identify and close capability gaps and avoid overlaps across the technology organisation.
- Integration, API & Engineering Leadership
- Provide appropriately skilled Data & Integration engineers into multidisciplinary Journeys according to business priorities.
- Maintain Chapter accountability for technical standards, capability development and engineering excellence while resources operate within Journey teams.
- Partner with Journey Leads to balance near-term delivery with long-term technology sustainability.
- Work with other Chapter Leads to identify and close capability gaps and avoid overlaps across the technology organisation.
- Architecture, Modernisation & Technical Debt
- Partner with Architecture to translate enterprise technology strategy into executable engineering standards and patterns.
- Influence the evolution of the target Data & Integration architecture.
- Drive simplification, standardisation and reuse while progressively addressing legacy technologies, technical debt, duplication and architectural bottlenecks.
- Ensure modernisation protects the operational resilience of critical services.
- Technology Governance, Risk, Security & Resilience
- Ensure Data & Integration technology and engineering practices align with enterprise architecture, cybersecurity, information security, privacy, operational resilience and technology risk requirements.
- Embed resilience, recoverability and observability into engineering practices.
- Proactively manage technology obsolescence, technical debt and key technology risks within the Chapter's scope.
- AI & Future Data Enablement
- Ensure Data & Integration capabilities evolve to support AI, GenAI, advanced analytics and emerging digital use cases.
- Strengthen the foundations needed to make enterprise data trusted, reusable and appropriately accessible to AI-enabled solutions.
- Partner with AI, Architecture, Security and Governance capabilities to develop appropriate engineering patterns and introduce AI-assisted engineering practices where they improve productivity and quality.
Job Requirements
- University Graduate and above from Information Technology discipline
- 10+ years in enterprise technology, architecture, or large‑scale digital transformation
- Senior technology leadership experience within insurance, banking or financial services.
- Experience operating within an Agile, product, platform, Journey/Chapter or comparable capability-based operating model.
- Experience establishing modern enterprise data platforms and/or API ecosystems.
- Practical understanding of enterprise data requirements for AI, GenAI and advanced analytics.
- Experience with cloud and hybrid technology environments.
- Experience managing significant technology transformation and legacy modernisation
- Fluent in Cantonese and English
Prudential is an equal opportunity employer. We provide equality of opportunity of benefits for all who apply and who perform work for our organisation irrespective of sex, race, age, ethnic origin, educational, social and cultural background, marital status, pregnancy and maternity, religion or belief, disability or part-time / fixed-term work, or any other status protected by applicable law. We encourage the same standards from our recruitment and third-party suppliers taking into account the context of grade, job and location. We also allow for reasonable adjustments to support people with individual physical or mental health requirements.
