# Associate Director / Director of Digital Engineering Strategy & Enablement **Company**: AIA Group **Location**: Hong Kong **Experience**: senior **Job type**: full-time **Category**: Engineering **Industry**: Finance **Wikidata**: https://www.wikidata.org/wiki/Q1152465 **Apply**: https://aia.wd3.myworkdayjobs.com/en-US/External/job/Hong-Kong-HK-AIA-Group-Office/Associate-Director---Director-of-Digital-Engineering-Strategy---Enablement_JR-69111?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_95a2ab83-9c5 ## Description At AIA, we've started an exciting movement to create a healthier, more sustainable future for everyone. As a leading global insurer, we're transforming our organisation to be faster, simpler, and more connected, enabling us to develop digital solutions and experiences that help people live Healthier, Longer, Better Lives. **About the Role** We're seeking an Associate Director / Director of Digital Engineering Strategy & Enablement to lead our Group Digital engineering capability and deliver strategic, multi-market technology initiatives that strengthen our digital, data, and AI platforms. **Responsibilities** - Lead, inspire, and develop a high-performing engineering community across Group and Business Units, setting clear expectations for engineering excellence, accountability, talent growth, and inclusive collaboration. - Own the engineering strategy and capability roadmap for Group Digital, covering modern AI-enabled software engineering, cloud, APIs and integration, platform engineering, DevSecOps, quality engineering, reliability engineering, data, and AI engineering. - Create reusable engineering assets and standards, including reference architectures, shared components, integration patterns, Infrastructure-as-Code templates, CI/CD pipelines, testing frameworks, observability dashboards, and operational runbooks. - Work with Group Technology, Architecture, Cyber Security, Data & AI, Risk, Compliance, Procurement, Finance, and other Group functions to embed required guardrails into delivery pathways without compromising speed or developer experience. - Establish a repeatable deployment model for Business Units, including readiness criteria, market onboarding, localisation guidance, change and release management, support handover, adoption measurement, and continuous-improvement loops. - Champion engineering practices used by leading digital and financial-services organisations, such as Agentic AI development, harness engineering, product/platform operating models, API-first design, automation, DevSecOps, SRE, trunk-based development, IAAC, Policy as code, progressive delivery, test automation, and data-driven engineering management. - Ensure solutions are secure, resilient, scalable, observable, and cost-efficient, with appropriate privacy, model-risk, responsible-AI, auditability, and regulatory controls for insurance and other regulated environments. - Set and govern engineering metrics, including deployment frequency, lead time for change, change-failure rate, recovery time, reuse, platform adoption, availability, quality, delivery predictability, cost efficiency, and realised business value. - Drive modernisation and technical-debt reduction; rationalise duplicated tools and capabilities, retire legacy components where appropriate, and improve the reuse of shared Group platforms and services. - Partner with product, business, and operations leaders to identify high-value opportunities where engineering, data, and AI can simplify journeys, improve productivity, enhance customer and distributor experiences, and increase control effectiveness. - Shape pragmatic AI engineering adoption, including secure developer tooling, MLOps/LLMOps, ADLC, evaluation, guardrails, and operational monitoring, ensuring AI-enabled capabilities are fit for purpose and responsibly deployed. - Provide technical leadership to senior stakeholders, translating complex engineering trade-offs, risks, and investment choices into clear decisions and recommendations. - Act as a key member of the Group Digital Leadership Team, influencing enterprise priorities, investment sequencing, and cross-market delivery commitments. **Requirements** - 10-15+ years of progressive experience in software engineering, technology delivery, platform engineering, architecture, or digital transformation, with substantial leadership responsibility. - Demonstrable experience leading complex, multi-team strategic technology programmes and taking products or platforms from design through production deployment at scale. - Experience establishing reusable engineering capabilities and deployment models across multiple markets, business units, or large enterprise domains. - Strong experience in financial services, insurance, or another highly regulated, security-sensitive industry is preferred. - Experience operating with senior executives and translating business priorities into technical strategy, investment cases, and delivery plans. - Experience leading in decentralised or matrix organisations, where outcomes are achieved through influence as well as direct accountability. - Proven people-leadership experience, including hiring, coaching, succession planning, and leading diverse teams or communities of practice. - Strong engineering judgement and a hands-on understanding of cloud-native architecture, API and event-driven integration, software delivery, automation, DevSecOps, test engineering, SRE, and observability. - Working knowledge of data, AI, and MLOps/LLMOps, including responsible-AI controls, evaluation, monitoring, privacy, and model-risk considerations. - Ability to define practical standards that balance speed, security, resilience, control, and developer experience. - Product and platform mindset, with the ability to identify common needs, design for reuse, and drive adoption across markets. - Highly action-oriented, customer-obsessed, and outcomes-driven; able to work effectively from strategic direction through detailed execution. - Excellent analytical, problem-solving, and communication skills, with the ability to simplify complex concepts for executive and non-technical audiences. - Ability to operate with autonomy, manage ambiguity, make sound decisions, and adapt to changing priorities. - Excellent command of spoken and written English; experience working across diverse cultures and markets. ## Skills ### Required - cloud-native architecture - API and event-driven integration - software delivery - automation - DevSecOps - test engineering - SRE - observability - data - AI - MLOps/LLMOps - responsible-AI controls ### Nice to have - Agentic AI development - harness engineering - product/platform operating models - API-first design - trunk-based development - IAAC - Policy as code - progressive delivery - test automation - data-driven engineering management --- Source: [Apply at aia.wd3.myworkdayjobs.com](https://aia.wd3.myworkdayjobs.com/en-US/External/job/Hong-Kong-HK-AIA-Group-Office/Associate-Director---Director-of-Digital-Engineering-Strategy---Enablement_JR-69111?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)