Head of Data Architecture

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:

1. 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

2. 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

3. 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

4. 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

5. 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

6. 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

7. 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

8. 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.

宏利金融有限公司是全球领先的金融服务提供商，致力于帮助大众轻松作出明智抉择，实现精彩人生。如欲了解更多关于我们的信息，请访问人寿保险-养老保险-健康保险-中宏保险官网 (manulife-sinochem.com).

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Working Arrangement

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