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Excellence","source_url":"https://aia.wd3.myworkdayjobs.com/en-US/External/job/Hong-Kong-HK-AIA-Group-Office/Associate-Director--Innovation-Excellence_JR-68141","location":"Hong Kong, HK","job_type":"full-time","experience_level":"senior","work_arrangement":null,"category":"IT","description":"<p>At AIA, we&#39;ve started an exciting movement to create a healthier, more sustainable future for everyone.</p>\n<p>As a pioneering innovator for over 100 years, we&#39;re now transforming our organisation to be faster, simpler, and more connected.</p>\n<p>We&#39;re looking for an Associate Director, Innovation Excellence to drive engineering excellence and innovation across the Group Innovation Office.</p>\n<h4>About the Role</h4>\n<p>The successful candidate will:</p>\n<ul>\n<li>Drive Engineering Excellence &amp; Innovation across the Group Innovation Office</li>\n<li>Set standards and strengthen review and governance practices to improve delivery quality and consistency</li>\n<li>Partner with project teams to improve solution design, product quality, and delivery effectiveness</li>\n<li>Work closely with Group Technology, Group Risk, and Compliance to shape practical governance and SDLC improvements for the AI era</li>\n</ul>\n<h4>Roles and Responsibilities:</h4>\n<h5>Innovation Excellence Leadership</h5>\n<ul>\n<li>Establish and lead the innovation excellence agenda across Group Innovation Office by defining standards of practice, engineering guidelines, review processes, and benchmark measures that improve delivery quality and consistency</li>\n<li>Develop and maintain innovation excellence frameworks that provide clear expectations for solution quality, architecture discipline, governance readiness, and measurable delivery outcomes</li>\n<li>Promote a culture of technical excellence, accountability, and evidence-based decision-making across innovation programs and product teams</li>\n</ul>\n<h5>Technical Advisory and Review Governance</h5>\n<ul>\n<li>Advise Group Innovation Office project teams on solution and architecture design from project kick-off, providing practical guidance on technical options, quality expectations, and delivery considerations</li>\n<li>Convene and lead the mobile technical review committee to assess proposals against agreed architecture, security, scalability, maintainability, and reuse principles, and support quality delivery</li>\n<li>Review completed solutions, assess delivery quality and business outcomes, and provide formal sign-off or remediation direction to ensure expected standards are met</li>\n<li>Ensure review outcomes, decisions, and follow-up actions are documented, transparent, and embedded into Group Innovation Office delivery governance</li>\n</ul>\n<h5>Quality Evaluation, Benchmarking, and Reporting</h5>\n<ul>\n<li>Develop the evaluation framework used by project teams to assess and track product quality, including criteria, scorecards, evidence requirements, and review checkpoints</li>\n<li>Benchmark Group Innovation Office products and delivery practices against relevant market standards, emerging technology trends, and peer capabilities to identify improvement opportunities</li>\n<li>Track quality, maturity, and improvement progress across initiatives, and synthesize findings into concise executive reporting for leadership decision-making</li>\n<li>Use review findings, quality metrics, and benchmark insights to recommend targeted actions that improve product outcomes and delivery effectiveness</li>\n</ul>\n<h5>AI-Era SDLC Governance and Emerging Technology Research</h5>\n<ul>\n<li>Partner with Group Technology and Group Risk and Compliance to optimize SDLC, control points, and governance processes for the AI era, balancing speed, quality, compliance, and delivery effort</li>\n<li>Define success measures for governance simplification and process effectiveness, including reduction in delivery time and effort as a percentage of project cost</li>\n<li>Research emerging technologies, tools, and engineering practices to identify opportunities that are relevant, practical, and scalable for Group Innovation Office products and innovation initiatives</li>\n<li>Translate relevant technology insights into standards updates, pilot recommendations, and practical adoption roadmaps that support continuous improvement across Group Innovation Office</li>\n</ul>\n<h4>Minimum Job Requirements:</h4>\n<ul>\n<li>Degree in Computer Science, Engineering, Information Systems, or a related discipline</li>\n<li>Strong hands-on experience across modern engineering stacks (APIs, cloud, integration, data, or AI-enabled applications)</li>\n<li>Proven ability to establish standards of practice, engineering guidelines, review forums, and quality governance mechanisms across multiple teams or products</li>\n<li>Experience advising delivery teams on solution and architecture design, leading technical review committees, and assessing delivery readiness in enterprise environments</li>\n<li>Strong understanding of product quality frameworks, benchmarking approaches, metrics design, and executive-level reporting for technology or digital product delivery</li>\n<li>Practical experience partnering with engineering, risk, and governance stakeholders to optimize SDLC and control processes while balancing quality, compliance, and speed</li>\n<li>Strong awareness of emerging technologies, including AI-related delivery patterns, and the ability to assess their relevance, risks, and practical application in a regulated enterprise setting</li>\n<li>Demonstrated ability to translate strategy and architecture into executable engineering outcomes</li>\n<li>Strong problem-solving capability, balancing delivery speed with quality, governance, and long-term sustainability</li>\n<li>Effective stakeholder management across engineering, product, architecture, and governance functions</li>\n<li>Experience working in regulated or large-scale enterprise environments is preferred</li>\n<li>Strong communication skills in English; ability to work in multilingual environments is beneficial</li>\n</ul>","enriched_at":1791040660644},{"id":"job_bfc9ca1d-1f2","title":"Actuarial Intern","source_url":"https://aia.wd3.myworkdayjobs.com/en-US/External/job/Hong-Kong-HK-AIA-Group-Office/XMLNAME-2026-2H-Actuarial-Internship-Programme--AIA-Group-Office_JR-61517","location":"Hong Kong","job_type":"internship","experience_level":"entry","work_arrangement":null,"category":"Finance","description":"<p>We are seeking a highly motivated and talented individual to join our Actuarial Internship Programme.</p>\n<p>The role is to provide support in completing and analyzing various assignments or projects of actuarial nature.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Compile and verify data, prepare reports and other documentation, and provide various levels of analysis and modeling work</li>\n<li>Assist in reviewing, evaluating and reporting actuarial trends and rating considerations</li>\n<li>Assist in providing financial information for result announcement and internal management reports</li>\n<li>Assist in actuarial projects, including crafting and improving projection models, experience studies, etc.</li>\n<li>Assist in the design and improvement of systems and tools to accurately evaluate risk and supervise operations performance</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>University students major in Actuarial Science, Risk Management, Mathematics, Statistics, Insurance, Finance Business, Economic and Information Technology with strong mathematics background</li>\n<li>Good analytical and social skills</li>\n<li>Good command of written and spoken English</li>\n<li>Extraordinary teammate who works effectively under pressure</li>\n<li>Proficiency in Microsoft Office, knowledge of Prophet, Visual Basic for Applications (VBA) or other computer programming language is an advantage</li>\n</ul>","enriched_at":1791040644181},{"id":"job_fc7c3912-11f","title":"Manager, People Analytics & Insights","source_url":"https://aia.wd3.myworkdayjobs.com/en-US/External/job/Hong-Kong-HK-AIA-Group-Office/Manager--People-Analytics---Insights_JR-68769","location":"Hong Kong","job_type":"full-time","experience_level":"senior","work_arrangement":null,"category":"HR","description":"<p>We are seeking a Manager, People Analytics &amp; Insights to support the delivery of the Group People Analytics agenda by developing actionable workforce insights, maintaining data governance standards, and partnering with HR and business stakeholders to support data-driven workforce decisions.</p>\n<p>The role involves translating business requirements into meaningful analytics solutions, driving data quality improvements, and ensuring consistent and reliable HR reporting across the Group.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Develop and deliver regular and ad hoc workforce analytics, dashboards, and reports to support HR and business decision-making.</li>\n<li>Analyze workforce trends across key people metrics, including headcount, turnover, hiring, internal mobility, talent development, engagement, learning, and diversity.</li>\n<li>Generate actionable insights and recommendations to support workforce planning, talent management, and organisational effectiveness initiatives.</li>\n<li>Support predictive and advanced analytics initiatives by preparing data, validating outputs, and translating findings into business actions.</li>\n<li>Collaborate with HR Business Partners, Centres of Excellence, and Business Units to understand analytics requirements and provide data-driven solutions.</li>\n<li>Lead the design, development, and continuous improvement of AI-powered People Analytics solutions.</li>\n<li>Partner with HR, Technology and Innovation Team to identify opportunities to automate insight generation and enhance decision-making through AI and machine learning.</li>\n<li>Translate business questions and workforce challenges into AI-enabled use cases and analytics products.</li>\n<li>Define business requirements, prompts, guardrails, and success metrics for workforce insights agents and HR AI solutions.</li>\n<li>Develop scalable workforce intelligence capabilities that proactively identify people risks, workforce trends, talent opportunities, and emerging business challenges.</li>\n<li>Ensure AI solutions are aligned with Group governance, responsible AI principles, data privacy requirements, and regulatory standards.</li>\n<li>Monitor AI solution effectiveness, adoption, accuracy, and business value realisation through ongoing measurement and optimisation.</li>\n<li>Design, develop, and maintain HR dashboards and self-service reporting solutions using approved visualisation platforms, e.g., PowerBI.</li>\n<li>Ensure consistent reporting definitions, calculations, and standards across Business Units.</li>\n<li>Produce recurring management reports and workforce metrics for Group HR leadership and business stakeholders.</li>\n<li>Manage reporting enhancements and identify opportunities for automation and process improvement.</li>\n<li>Act as a trusted analytics partner to HR teams and business stakeholders by providing timely and relevant workforce insights.</li>\n<li>Translate business challenges into analytical questions and actionable recommendations.</li>\n<li>Present findings and insights in a clear and compelling manner to HR and business audiences.</li>\n<li>Support change management and adoption of analytics solutions across markets and functions.</li>\n<li>Ensure accuracy and maintenance of group-wide cross-entity movement records and Senior Management data.</li>\n</ul>\n<p><strong>Requirements:</strong></p>\n<ul>\n<li>University graduate with 12–15 years&#39; experience in HR and/or people insights role.</li>\n<li>Experience with Workday or any other HCM SaaS.</li>\n<li>Experience with PowerBI or any other Reporting Platform.</li>\n<li>Strong interpersonal, communication, and presentation skills; ability to influence and lead without authority.</li>\n<li>Conceptual thinker, process-oriented, with proven analytical and problem-solving skills.</li>\n<li>Optimistic, adaptable, and able to thrive in fast-paced environments.</li>\n<li>Global mindset, passion for diversity, and ability to build trusted relationships across cultures.</li>\n</ul>","enriched_at":1791040585351},{"id":"job_95a2ab83-9c5","title":"Associate Director / Director of Digital Engineering Strategy & Enablement","source_url":"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","location":"Hong Kong","job_type":"full-time","experience_level":"senior","work_arrangement":null,"category":"Engineering","description":"<p>At AIA, we&#39;ve started an exciting movement to create a healthier, more sustainable future for everyone.</p>\n<p>As a leading global insurer, we&#39;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.</p>\n<p><strong>About the Role</strong></p>\n<p>We&#39;re seeking an Associate Director / Director of Digital Engineering Strategy &amp; Enablement to lead our Group Digital engineering capability and deliver strategic, multi-market technology initiatives that strengthen our digital, data, and AI platforms.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>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.</li>\n<li>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.</li>\n<li>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.</li>\n<li>Work with Group Technology, Architecture, Cyber Security, Data &amp; AI, Risk, Compliance, Procurement, Finance, and other Group functions to embed required guardrails into delivery pathways without compromising speed or developer experience.</li>\n<li>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.</li>\n<li>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.</li>\n<li>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.</li>\n<li>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.</li>\n<li>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.</li>\n<li>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.</li>\n<li>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.</li>\n<li>Provide technical leadership to senior stakeholders, translating complex engineering trade-offs, risks, and investment choices into clear decisions and recommendations.</li>\n<li>Act as a key member of the Group Digital Leadership Team, influencing enterprise priorities, investment sequencing, and cross-market delivery commitments.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>10-15+ years of progressive experience in software engineering, technology delivery, platform engineering, architecture, or digital transformation, with substantial leadership responsibility.</li>\n<li>Demonstrable experience leading complex, multi-team strategic technology programmes and taking products or platforms from design through production deployment at scale.</li>\n<li>Experience establishing reusable engineering capabilities and deployment models across multiple markets, business units, or large enterprise domains.</li>\n<li>Strong experience in financial services, insurance, or another highly regulated, security-sensitive industry is preferred.</li>\n<li>Experience operating with senior executives and translating business priorities into technical strategy, investment cases, and delivery plans.</li>\n<li>Experience leading in decentralised or matrix organisations, where outcomes are achieved through influence as well as direct accountability.</li>\n<li>Proven people-leadership experience, including hiring, coaching, succession planning, and leading diverse teams or communities of practice.</li>\n<li>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.</li>\n<li>Working knowledge of data, AI, and MLOps/LLMOps, including responsible-AI controls, evaluation, monitoring, privacy, and model-risk considerations.</li>\n<li>Ability to define practical standards that balance speed, security, resilience, control, and developer experience.</li>\n<li>Product and platform mindset, with the ability to identify common needs, design for reuse, and drive adoption across markets.</li>\n<li>Highly action-oriented, customer-obsessed, and outcomes-driven; able to work effectively from strategic direction through detailed execution.</li>\n<li>Excellent analytical, problem-solving, and communication skills, with the ability to simplify complex concepts for executive and non-technical audiences.</li>\n<li>Ability to operate with autonomy, manage ambiguity, make sound decisions, and adapt to changing priorities.</li>\n<li>Excellent command of spoken and written English; experience working across diverse cultures and markets.</li>\n</ul>","enriched_at":1791040520928},{"id":"job_a93df8dc-c9c","title":"Senior Manager, Customer Analytics","source_url":"https://aia.wd3.myworkdayjobs.com/en-US/External/job/Hong-Kong-HK-AIA-Group-Office/Senior-Manager--Customer-Analytics_JR-69370","location":"Hong Kong, HK","job_type":"full-time","experience_level":"senior","work_arrangement":null,"category":"Analytics","description":"<p>At AIA, we&#39;ve started an exciting movement to create a healthier, more sustainable future for everyone. We&#39;re looking for a Senior Manager, Customer Analytics to join our marketing, distribution &amp; partnership team.</p>\n<p><strong>About the Role</strong></p>\n<p>As the primary business SME for customer analytics, you will serve as a bridge between Marketing, Business Units, Data Science, Data Engineering, and Technology teams. Your responsibilities will include:</p>\n<ul>\n<li>Defining and operationalizing customer data foundations to ensure customer, behavioral, marketing, and transaction data are standardized, automated, and scalable across Business Units.</li>\n<li>Partnering with the Director of Customer Analytics &amp; Insights to develop and maintain the roadmap for customer analytics products.</li>\n<li>Translating business requirements into analytical solutions and data products that drive customer acquisition, engagement, retention, and repurchase outcomes.</li>\n<li>Supporting the industrialization of customer analytics by establishing scalable processes, automation frameworks, reporting solutions, and model deployment standards.</li>\n<li>Ensuring customer analytics capabilities are effectively embedded into business processes, marketing activation, and customer engagement programs across the region.</li>\n</ul>\n<p><strong>Roles and Responsibilities:</strong></p>\n<h4>Customer Analytics Product Management</h4>\n<ul>\n<li>Partner with the Director to define and prioritize the customer analytics product roadmap across Group and Business Units.</li>\n<li>Act as the product owner for customer analytics use cases, ensuring alignment between business priorities and technical development.</li>\n<li>Manage requirements gathering, business case development, and stakeholder alignment for customer analytics initiatives.</li>\n<li>Monitor adoption, effectiveness, and business impact of analytics products and recommend enhancements where required.</li>\n<li>Coordinate delivery across Data Science, Data Engineering, Martech, and Technology teams.</li>\n</ul>\n<h4>Data Foundation &amp; Automation</h4>\n<ul>\n<li>Define customer data requirements, frameworks, and governance standards to support analytics use cases at scale.</li>\n<li>Partner with Data Engineering and Technology teams to establish automated, reliable, and scalable data pipelines.</li>\n<li>Drive improvements in customer data quality, accessibility, and integration across multiple data sources.</li>\n<li>Support the development of Group-level data assets that enable consistent reporting, modelling, and activation across markets.</li>\n<li>Ensure customer data structures are designed to support future personalization, predictive analytics, and AI-driven use cases.</li>\n</ul>\n<h4>Predictive Models &amp; Customer Intelligence</h4>\n<ul>\n<li>Support the development and deployment of customer analytics products, including lead scoring models, propensity-to-buy models, cross-sell and upsell models, repurchase propensity models, customer lifetime value models, and customer segmentation frameworks.</li>\n<li>Translate business objectives into model requirements and success metrics.</li>\n<li>Work with Data Science teams to ensure models are explainable, actionable, and operationally scalable.</li>\n<li>Establish processes for monitoring model performance, adoption, and commercial outcomes.</li>\n</ul>\n<h4>Business Partnership &amp; SME Leadership</h4>\n<ul>\n<li>Serve as the primary customer analytics SME for Group Marketing and Business Units.</li>\n<li>Work closely with local business teams to identify opportunities where analytics can drive measurable business value.</li>\n<li>Translate complex analytical concepts into practical business recommendations for senior stakeholders.</li>\n<li>Facilitate alignment between business, technology, and analytics teams throughout project delivery.</li>\n<li>Support markets in embedding customer intelligence into campaign planning, customer engagement, and retention initiatives.</li>\n</ul>\n<h4>Reporting &amp; Performance Measurement</h4>\n<ul>\n<li>Develop and maintain customer analytics dashboards and measurement frameworks.</li>\n<li>Deliver regular performance reviews and business impact assessments to Group leadership.</li>\n<li>Identify opportunities to improve customer acquisition efficiency, retention performance, and customer value.</li>\n</ul>\n<p><strong>Job Requirements:</strong></p>\n<ul>\n<li>Bachelor or Post-Graduate degree or at least 15 years&#39; experience in Life Insurance and Financial Services, especially in Marketing.</li>\n<li>Direct/hands-on experience and proven success in driving customer repurchase, especially at a regional level.</li>\n<li>Actuarial background, especially technical knowledge and experience in product development and pricing, is an advantage.</li>\n<li>Excellent communication skills, both written and verbal.</li>\n<li>Sound understanding of insurance-related financial metrics.</li>\n<li>Sound data and analytics experience.</li>\n<li>Strong business acumen and analytical thinking, reflected in impact and influence skills and confidence in high-level interactions with the leadership team.</li>\n<li>Strategic Thinking, planning, and execution skills.</li>\n</ul>","enriched_at":1791040458862},{"id":"job_2596dbde-38a","title":"Actuarial Intern","source_url":"https://aia.wd3.myworkdayjobs.com/en-US/External/job/Hong-Kong-HK-AIA-Group-Office/XMLNAME-2026-1H-Actuarial-Internship-Programme--AIA-Group-Office_JR-57942","location":"Hong Kong, HK","job_type":"internship","experience_level":"entry","work_arrangement":null,"category":"Finance","description":"<p>We don&#39;t simply believe in being &#39;The Best&#39;. 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