Job Title

The Role As a Senior Customer Data Architect, you''ll provide architectural authority across Customer Identity, Customer Data Platforms, Analytics, and AI/ML. You''ll work closely with senior business, technology, risk, and privacy stakeholders to translate growth, retention, and compliance goals into scalable data and AI solutions. This is not a delivery-only role. You''ll define future-state architecture, guide major transformation programs, and set the standards and patterns that others build against. What You''ll Be Doing Owning architecture and design decisions across the customer data domain Designing end-to-end customer data and AI solutions spanning identity, consent, analytics, activation, and decisioning Defining future-state customer data architecture, including target and transition states Establishing patterns for: Customer profiles, events, and preferences Identity resolution and ID stitching (deterministic & probabilistic) Real-time data, streaming, and decisioning AI-driven personalisation and insights Translating stakeholder objectives into clear solution options, with explicit value, cost, and risk trade-offs Embedding privacy-by-design, consent management, and PII controls aligned to Australian Privacy Principles Shaping the customer AI reference architecture, including predictive models, decisioning, and responsible AI guardrails Providing architectural governance and technical leadership across permanent teams and delivery partners What I''m Looking For You''re a senior architect who has operated at enterprise scale and understands customer data as a strategic asset, not just a technical implementation. Experience & Background 10+ years in data solution architecture, with deep customer data expertise 5+ years in a lead or principal data architecture role on large transformation programs Strong experience designing Customer Data Platforms (CDPs) and activation ecosystems Proven background in customer identity, consent, and privacy-driven design Technical Strength Hands-on experience with enterprise cloud data platforms and event-driven architectures Strong understanding of customer data models (profiles, events, attributes, relationships) Experience with real-time streaming, decisioning, and activation patterns Practical exposure to data science and ML use cases such as churn, next-best-action, LTV, and audience modelling Familiarity with modern AI patterns (e.g. feature stores, MLOps, LLMs, embeddings, RAG) is highly regarded Ways of Working Comfortable leading through influence rather than authority Confident whiteboarding complex problems with senior stakeholders Able to communicate architectural trade-offs clearly to both technical and non-technical audiences Strong documentation discipline and architectural governance mindset 3 Days a week in the CBD Why This Role Is Different You''ll shape enterprise-wide Customer Data and AI strategy, not just a single platform You''ll operate at the intersection of growth, technology, and regulation You''ll influence how customer data is used responsibly at scale You''ll work on problems that are strategic, ambiguous, and high-impact How to Apply This search is run on a confidential basis. If you''re an experienced Customer Data Architect who wants to work on Identity, AI, Activation, and Privacy at scale, I''d love to have a conversation. Applications are assessed with discretion. Only candidates aligned to senior, enterprise-level architecture will be progressed. Apply today to send your profile directly to Chipo R (Sr Data Science & AI Recruitment Consultant) @ Talenza. #J-18808-Ljbffr