Consumer Data Architect
Sydney NSW
$230,000 inc Super + Bonus

Role Purpose

The Consumer Data Architect is a pivotal senior leadership role within Data, Analytics & AI Architecture, accountable for the enterprise customer data domain. The role leads architecture and design across Customer Identity, Customer Data Platforms, Customer Analytics and AI/ML, establishing and delivering the organisation's Customer Data & AI Strategy.

Key Accountabilities

Customer Data & AI Architecture Leadership

• Own target and transition-state architecture for customer data, analytics and AI across the enterprise.
• Lead strategic transformation programs across customer data platforms, identity and activation.
• Define architecture patterns for real-time profiles, event streaming, decisioning and AI across channels.
• Establish customer data & AI strategy, reference architectures and roadmap.

Customer Identity, Data & Activation

• Define customer data models (profiles, events, preferences) and identity graph / ID stitching approaches.
• Design consent, preference and PII data management aligned to Australian Privacy Principles.
• Establish activation and data-sharing patterns across MarTech, AdTech and enterprise platforms.
• Guide Customer 360 / MDM and CDP architecture and integration patterns.

AI & Advanced Analytics Architecture

• Define customer AI architecture covering predictive models, decisioning and LLM-enabled experiences.
• Guide AI use cases including personalisation, churn, next-best-action, support automation and measurement.
• Establish MLOps patterns (feature stores, model lifecycle, monitoring, governance).
• Define responsible AI guardrails and compliance controls.

Architecture Governance & Delivery

• Produce end-to-end architecture, solution options and transition plans for major initiatives.
• Provide technical leadership to architects, engineers and vendors across the customer domain.
• Govern solution design artefacts and ensure alignment to enterprise standards.
• Partner with Legal, Risk, Security and Privacy on compliant customer data solutions.

Capabilities & Experience

• 10+ years in data or solution architecture with deep customer data domain expertise.
• 5+ years as Lead / Domain Data Architect on enterprise-scale transformation programs.
• Strong experience with CDPs and customer data platforms (e.g., Adobe Experience Platform, Salesforce Data Cloud).
• Expertise in customer identity, consent, activation and Customer 360 / MDM patterns.
• Hands-on architecture experience with cloud data platforms, streaming and event-driven architectures.
• Experience designing architectures supporting customer data science and ML use cases.
• Knowledge of MLOps, model lifecycle and AI governance patterns.
• Understanding of Australian Privacy Principles and privacy-by-design.
• Strong stakeholder engagement, executive communication and architecture governance skills.

Desirable

• Experience with Adobe Experience Cloud, Salesforce Marketing Cloud or similar MarTech stacks.
• Knowledge of LLMs, embeddings, vector stores and RAG patterns.
• Experience in regulated or large enterprise environments.

If you feel you possess the relevant skills to the above, apply now with most updated CV!