Customer Data Domain & GenAI Product Owner, Principal

AIA Malaysia; Kuala Lumpur; On-site; MYR 120,000 - 180,000; Full time

Job summary

AIA Malaysia is seeking a Customer Data Domain Owner with extensive experience in data product management and GenAI/LLM in marketing. This role involves defining marketing’s customer data domain, governance, and leading a multi-year GenAI vision. The ideal candidate has 10-12 years of experience, strong CRM/CMP/CDP knowledge, and a proven ability to lead cross-functional teams. Responsibilities include data quality management and collaboration with legal and data governance teams. Located in Kuala Lumpur, this position offers an opportunity to drive innovative marketing strategies.

Qualifications

• 10–12+ years across data product management/governance and/or MarTech product roles.
• 3+ years hands-on with GenAI/LLM or ML in marketing.
• Strong domain expertise across CRM/CMP/CDP, identity resolution, and analytics.

Responsibilities

• Define and own Marketing’s Customer Data Domain.
• Govern identity resolution and maintain data quality rules.
• Define multi-year GenAI vision for content ops.

Skills

Data product management

GenAI/LLM in marketing

Cross-functional leadership

SQL

Stakeholder influence

Education

Bachelor’s Degree in any discipline

Tools

Azure OpenAI

CRM

CDP

Job description

Overview

At AIA we’ve started an exciting movement to create a healthier, more sustainable future for everyone. It’s about finding new ways to better people’s lives, communities, and environments. Our ambition is to help a billion people live Healthier, Longer, Better Lives by 2030. In the Marketing, Distribution & Partnership team, you’ll play a vital part in advancing this movement by delivering purpose-led brand positioning and messaging, and by helping more people live Healthier, Longer, Better Lives.

About The Role: Own the strategy, governance, and value realization of customer data and Generative AI across Marketing to drive growth (conversion, lead quality) and operational efficiency (content velocity, cycle time). Serve as the Customer Data Domain Owner for Marketing—delivering trusted, well-documented, interoperable customer profiles, consent signals, and engagement events that power CRM, CMP, CDP, Analytics, and AI use cases. Serve as Product Owner for Marketing GenAI platforms—defining vision, roadmap, and guardrails to safely scale AI for content, personalization, analytics copilots, and media optimization. Embed privacy-by-design, brand safety, role-based access, and data quality controls into data products and AI workflows in partnership with Legal & Data Governance Council.

Roles And Responsibilities

Customer Data Domain Ownership

• Define and own Marketing’s Customer Data Domain: canonical customer profile, household/account relationships, consents/preferences, engagement events, and marketing performance data.
• Establish semantic models, business glossaries, and data contracts/APIs with upstream systems (Web, App, Policy Admin System, Customer Care) and downstream systems (CRM, CMP, CDP, Analytics, AI).
• Set data quality rules (accuracy, completeness, timeliness, uniqueness, validity, consistency), SLAs (availability, latency), monitoring & alerts; drive root-cause remediation.
• Govern identity resolution (match/merge, deduplication) and golden record policies; manage customer IDs/keys and reference data (source taxonomies, channels, campaign metadata) across multiple business entities.
• Maintain end-to-end lineage and catalog entries (schemas, owners, SLAs, certifications) to enable discoverability and compliant self-serve access.
• Work closely with internal Tech/Data teams & external vendors (CDP/CMP); manage change readiness for schemas, SDKs, tags, and integrations.

GenAI Product Ownership (Marketing GenAI Platforms)

• Define multi-year GenAI vision for content ops, personalization, analytics copilots, and media optimization; prioritize a value-led roadmap (MVP → scale).
• Deliver high-ROI use cases (Email/WhatsApp/Push Notification copy, image localization, SEO briefs, journey orchestration, insights summarization) with clear success metrics.
• Implement prompt governance (approved templates, PII redaction), retrieval scoping, output logging, watermark/disclosure rules; enforce PII boundaries and secure context windows.
• Select and operate platform stack (e.g., Azure OpenAI/Microsoft Copilot Studio); standardize prompt libraries, evaluators, safety policies, knowledge stores, experiment tracking, and rollouts.
• Integrate securely with CDP/CRM/MAP, DAM/CMS, analytics, and social tools with least-privilege access; manage cost controls and observability.

Collaboration & Operating Model

• Run joint Data Contract + Privacy/Safety Reviews with Legal/Data Council/Security for new AI/activation use cases; maintain shared controls and incident runbooks.

Minimum Job Requirements

• Bachelor’s Degree in any discipline; advanced degree is a plus.
• 10–12+ years across data product management/governance and/or MarTech product roles; 3+ years hands-on with GenAI/LLM or ML in marketing.
• Strong domain expertise across CRM/CMP/CDP, identity resolution, consent, analytics/attribution, data contracts/APIs, content ops and A/B experimentation.
• Demonstrated experience defining data quality rules, lineage/catalog, role-based access, and privacy-by-design with Legal/DPO and Security.
• Hands-on with LLM patterns (RAG, prompt engineering, evaluators/guardrails, observability, cost/performance trade-offs); experience with Azure OpenAI/Microsoft ecosystem preferred.
• Proven ability to lead cross-functional teams and vendors; strong stakeholder influence and executive communication.
• Strategic thinking, analytical rigor, and disciplined, outcome-focused execution.
• Basic to intermediate knowledge of SQL; basic understanding of Python is a plus.

Note: This description excludes promotional or application-process content unrelated to the role. The final description has been reformatted for clarity and accessibility.