Head of Data Architecture

Manulife

. Define and lead the Asia enterprise data and AI architecture vision, strategy, and roadmap .

Posted 10/16/2026full-timeHong KongLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive expertise in defining and leading enterprise data and AI architecture, with a focus on scalable, secure solutions across Azure and Alicloud. Proven ability to drive alignment with global standards and regulatory requirements while mentoring teams and influencing stakeholders.

Highest-signal resume keywords

Enterprise Architecture LeadershipAzure Cloud ExpertiseData Fabric and Lakehouse ArchitectureAI/ML and GenAI ArchitectureFinancial Services Domain Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ArchitectureAI ArchitectureCloud-Native SolutionsData GovernanceMLOpsData MeshArchitecture Decision-MakingData Pipeline ManagementData Quality AssuranceArchitecture Standardization

Soft Skills

Stakeholder InfluenceExecutive CommunicationTeam LeadershipCross-Market CollaborationMentoring

Tools & Technologies

AzureAlicloudData FabricLakehouseGenAIRAGFeature StoresData CataloguingEnterprise Integration PatternsDistributed Architectures

Industry Keywords

Financial ServicesInsuranceRegulatory ComplianceData SecurityAuditabilityTransparencyModern Engineering PracticesArchitecture GovernanceCapability MaturityGreenfield Transformation

Tech Stack

Tools & technologies

AzureCloud

About the role

Key responsibilities & impact

Define and lead the Asia enterprise data and AI architecture vision, strategy, and roadmap
Establish target-state architecture for data, analytics, and AI platforms
Drive alignment with global standards, regulatory requirements, and business strategy
Lead architecture decisions involving trade-offs, investments, and technology choices
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 and act as final design authority for high-impact programs
Design and govern cloud-native data and AI platforms across Azure and Alicloud
Drive adoption of Data Fabric, Lakehouse, Data Mesh, GenAI, RAG, feature stores, and MLOps patterns
Establish reusable architecture blueprints, patterns, and accelerators
Standardize data models, pipelines, lifecycle management, quality, lineage, metadata, cataloguing, and master/reference data practices
Establish data governance-by-design principles
Enforce data security, privacy, compliance, auditability, transparency, and Responsible AI controls
Lead architecture governance forums and design authorities
Drive cross-market alignment, capability reuse, architecture guardrails, fitness functions, and automated compliance checks
Support vendor and platform selection through architecture oversight and evaluation frameworks
Partner with IT, Data, AI, Security, and Business leaders across global, regional, and local levels
Advise CIO, CDO, and senior stakeholders and align technology investments with the architecture vision
Collaborate with global architecture teams for standardization and reuse
Lead and mentor a regional team of data solution architects
Build capability maturity and drive adoption of modern engineering and architecture practices

Requirements

What you’ll need

20+ years of experience in data, analytics, and enterprise architecture
3–5 years in a leadership role (Head, Lead Architect, or equivalent)
Proven experience defining and delivering enterprise-scale data and AI platforms
Azure required; Alicloud preferred
Experience with Lakehouse, Data Fabric, and Data Mesh architectures
Experience with AI/ML and GenAI architectures, including RAG and 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
Strong architecture governance and decision-making ability
Deep technical expertise in modern data and AI ecosystems
Stakeholder influence and executive communication
Ability to operate in a federated, multi-market environment

Benefits

Comp & perks

Flexible environment supporting well-being and inclusion
Learning and career growth support
Equal opportunity employment
Reasonable accommodation during the application process