Director, Data and Integration

Hong Kong

Actively hiring, first seen by us 6 days ago

Pay: Pay not listed
Work setting: Not stated
Employment: Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting

Lead the Data & Integration chapter and build its engineering culture and skills roadmap
Set engineering standards for development, testing, deployment and observability
Place skilled data and integration engineers into multidisciplinary Journey teams
Drive simplification and reduce legacy technical debt across the architecture
Enable AI-ready, trusted and governed enterprise data

From the employer’s posting

Lead the Data & Integration Chapter and establish a strong engineering culture

Establish standards for development, testing, deployment, observability, performance, resilience and lifecycle management.

Provide appropriately skilled Data & Integration engineers into multidisciplinary Journeys according to business priorities.

Drive simplification, standardisation and reuse while progressively addressing legacy technologies, technical debt, duplication and architectural bottlenecks.

Strengthen the foundations needed to make enterprise data trusted, reusable and appropriately accessible to AI-enabled solutions.

Apply at Prudential

Posting record

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Actively hiringFirst seen by us 6 days ago, still listed, and not a repost of an earlier posting.

Status in our records: Live
First seen by us: Oct 29, 20266 days ago
Recorded sightings: 7
Last seen by us: Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 6

Early. Similar jobs usually come down between day 7 and day 53.

From 7,804 similar postings that came down. Coming down is not always a hire.

Prudential is hiring

23 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Data Leadership hiring is steady
Takes jobs down at a usual pace

Hiring record

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About the role

We file this job under Data Leadership, by the work the posting describes.

Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.

Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.

Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.

US government figures for computer and information systems managers

Median yearly pay, May 2025: $175,140
Expected change, 2025 to 2035: 15.8% more jobsagainst 3.5% for all jobs

The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.

Job description

View original posting ↗

Prudential’s purpose is to be partners for every life and protectors for every future. Our purpose encourages everything we do by creating a culture in which diversity is celebrated and inclusion assured, for our people, customers, and partners. We provide a platform for our people to do their best work and make an impact to the business, and we support our people’s career ambitions. We pledge to make Prudential a place where you can Connect, Grow, and Succeed.

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.

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