Head of Data Architecture, Asia Data Office
To support the accelerated build-out of a unified, scalable, and AI-ready data ecosystem across Asia, we are seeking a Head of Data Architecture (Director Level) to serve as the regional authority for enterprise data and AI architecture.
This role will define, govern, and drive the end-to-end data and AI architecture strategy, while also owning solution architecture for critical initiatives, ensuring scalable, secure, and production-ready delivery aligned with global standards and regional regulatory requirements.
As a capability leader within Asia Data Office, this role bridges strategy and execution, driving architectural consistency, enabling platform modernization, and ensuring adoption of cloud-native data platforms and AI/GenAI capabilities across markets.
Position Responsibilities
- Strategy & Architecture Leadership
- Define and lead the Asia enterprise data & AI architecture vision, strategy, and roadmap
- Establish target state architecture for data, analytics, and AI platforms
- Drive architectural alignment with global standards, regulatory requirements, and business strategy
- Lead architecture decision-making, including trade-offs, investments, and technology choices
- End-to-End Solution Ownership
- Own end-to-end solution architecture for key data, analytics, and AI initiatives
- Ensure solutions are scalable, modular, secure, and production-ready
- Guide delivery teams across markets to ensure design integrity and consistency
- Act as the final design authority for high-impact programs
- Platform & Technology Architecture
- Design and govern cloud-native data and AI platforms across Azure and Alicloud
- Drive adoption of modern data architectures (Data Fabric, Lakehouse, Data Mesh where applicable)
- Establish reusable architecture blueprints, patterns, and accelerators
- Including GenAI, RAG, feature stores, and MLOps patterns
- Ensure integration with enterprise platforms (PAS, CRM, Claims, Digital
- Data Governance & Standards
- Standardize data models, pipelines, and lifecycle management practices
- Enforce enterprise standards for:
- Data quality, lineage, metadata, cataloguing
- Master/reference data management
- Data interoperability across markets
- Define and embed data governance-by-design principles
- Security, Privacy & Responsible AI
- Establish and enforce data security, privacy, and compliance controls
- Alignment with regional regulations (e.g., India DPDP, China CSL/PIPL, etc.)
- Define and operationalize Responsible AI frameworks
- Ensure architecture supports auditability, transparency, and risk controls
- Governance & Operating Model
- Lead architecture governance forums and design authorities
- Drive cross-market alignment and reuse of capabilities
- Institutionalize architecture guardrails, fitness functions, and automated compliance checks
- Support vendor and platform selection through architecture oversight and evaluation frameworks
- Stakeholder & Leadership Engagement
- Partner with IT, Data, AI, Security, and Business leaders from across Global, Regional and Local level
- Act as a trusted advisor to CIO, CDO, and senior stakeholders
- Influence program direction and ensure technology investments align with long-term architecture vision
- Collaborate with global architecture teams for standardization and reuse
- Team & Capability Development
- Lead and mentor a regional team of data solution architects
- Build capability maturity across markets
- Drive adoption of modern engineering and architecture practices
Required Qualifications
- 20+ years of experience in data, analytics, and enterprise architecture
- 3–5 years in a leadership role (Head, Lead Architect, or equivalent)
- Proven experience in defining and delivering enterprise-scale data and AI platforms
- Strong experience with:
- Cloud platforms (Azure required, Alicloud preferred)
- Data architecture paradigms (Lakehouse, Data Fabric, Data Mesh)
- AI/ML and GenAI architectures (including RAG, MLOps)
- Experience in financial services / insurance domain
- Exposure to Asia markets and regulatory environments
- Experience in greenfield transformation or large-scale platform modernization
- Familiarity with enterprise integration patterns and distributed architectures
- Strategic thinking with execution focus
- Strong architecture governance and decision-making ability
- Deep technical expertise in modern data & AI ecosystems
- Stakeholder influence and executive communication
- Ability to operate in a federated, multi-market environment
When you join our team
- We’ll empower you to learn and grow the career you want.
- We’ll recognize and support you in a flexible environment where well-being and inclusion are more than just words.
- As part of our global team, we’ll support you in shaping the future you want to see.
關於宏利和恒康
宏利金融公司是一家業界領先的國際金融服務商，致力於幫助人們實現「輕鬆投資理財，樂享豐盛人生」。若要進一步了解我們，請瀏覽https://www.manulifeim.com/institutional/tw/en.
宏利是平等機會僱主
在宏利／恒康，我們擁抱多元。我們致力於吸引、培養及挽留和所服務客戶同樣多元的員工，並從而營造包容的工作環境，接納文化和個體差異。我們矢志維持公平的招聘、挽留、晉升及薪酬制度，我們管理的所有實踐及項目不會因種族、血統、原籍地、膚色、族裔、國籍、宗教或宗教信仰、信仰、性別（包括懷孕及其相關情況）、性取向、遺傳特徵、退伍軍人身份、性別認同、性別表達、年齡、婚姻狀況、家庭狀況、殘疾或受適用法律保護的任何其他因素而區別對待。
我們的首要任務是消除障礙，為員工提供平等就業機會。人力資源部代表將盡力為應徵過程中提出要求的申請人提供合理協助。申請人要求提供協助所分享的信息將會按照適用法律及宏利／恒康政策儲存及使用。應徵過程中如需協助，請聯絡 hr@manulife.com。
Working Arrangement
混合式
