Customer Data Domain & GenAI Product Owner, Principal

Reposted 8 Days Ago
Be an Early Applicant
Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, MYS
In-Office
Expert/Leader
Insurance • Financial Services
The Role
The role involves owning the customer data domain and GenAI platforms, managing data governance, and driving growth and operational efficiency through strategic oversight of marketing initiatives and data products.
Summary Generated by Built In

At AIA we’ve started an exciting movement to create a healthier, more sustainable future for everyone.

It’s about finding new ways to not only better people's lives, but to better the communities and environments we live in. Encompassing our ambition of helping a billion people live Healthier, Longer, Better Lives by 2030.

And as part of our marketing, distribution & partnership team, you’ll play a vital part in advancing this movement. From inspiring meaningful connections with customers, partners and other stakeholders, to delivering purpose-led brand positioning and messaging, you'll be making a positive, healthy impact across all channels. You will have a unique and important part to play in helping more people live Healthier, Longer, Better Lives. 

So if you believe in inspiring a better future, read on.

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) & 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 team & external vendors (CDP/CMP); manage change readiness for schemas, SDKs, tags, and integrations.

GenAI Product Ownership (Marketing AI 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.

Training and community of practice for both data domain and GenAI adoption; drive platform utilization and governance compliance

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 language; basic understanding of Phyton is a plus.

Build a career with us as we help our customers and the community live Healthier, Longer, Better Lives.

You must provide all requested information, including Personal Data, to be considered for this career opportunity. Failure to provide such information may influence the processing and outcome of your application. You are responsible for ensuring that the information you submit is accurate and up-to-date.

Skills Required

  • 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
  • Demonstrated experience defining data quality rules and privacy-by-design with Legal/DPO and Security
  • Hands-on with LLM patterns and experience with Azure OpenAI/Microsoft ecosystem preferred
  • Proven ability to lead cross-functional teams and vendors
  • Basic to Intermediate knowledge of SQL language
Am I A Good Fit?
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The Company
25,938 Employees
Year Founded: 1919

What We Do

AIA Group Limited is a multinational insurance and financial services corporation headquartered in Hong Kong, providing life insurance, savings, and health protection products across the Asia-Pacific region.

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