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 to get there, we need ambitious people who believe in playing an important part in shaping that future. People seeking unmatched career and personal growth opportunities, who are driven to work with, and learn from some of the most inspiring and supportive leaders in the business.
Position Objective:
- 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 Marketingdelivering 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 platformsdefining 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.
- 1012+ 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.
