_{22nd December, 2025}

Consumer Data Architect/ Customer, Data & AI 

We’re seeking an experienced Consumer Data Architect to play a pivotal role shaping customer-centric data and AI solutions across a large, complex enterprise environment.

This is a senior, hands-on architecture role focused on end-to-end customer data platforms, identity, analytics and AI, working across long-running, enterprise transformation initiatives and partnering closely with senior business and technology leaders.
What you’ll be doing

• Lead end-to-end architecture across customer identity, customer data platforms, analytics and AI.
• Own and evolve the Customer Data & AI architecture roadmap, aligned to growth, retention and compliance outcomes.
• Design enterprise-scale customer data solutions spanning CDP, MarTech, AdTech and core data platforms.
• Define target and transition-state architectures across data, ML and AI.
• Architect customer profiles, events, identity resolution, consent and activation patterns across digital channels.
• Establish patterns for real-time customer data, event streaming, decisioning and AI-driven experiences.
• Guide AI use cases including personalisation, customer insights, agent assist and predictive modelling.
• Partner with Security, Privacy, Risk and Legal to ensure privacy-by-design and regulatory compliance.
• Provide architecture governance, including active participation in Architecture Review Boards (ARB).
• Support delivery teams and vendors across end-to-end, multi-year transformation programs.

What we’re looking for

• 10+ years in data / solution architecture
• Strong experience designing customer-centric data architectures at enterprise scale.
• Hands-on experience with Customer Data Platforms (CDP) such as Adobe Experience Platform, Salesforce Data Cloud or Segment.
• Strong cloud data platform experience (AWS preferred) including streaming and event-driven architectures.
• Experience with customer data modelling (profiles, events, identity graphs, deterministic/probabilistic stitching).
• Practical exposure to data science and machine learning for customer use cases (e.g. churn, next-best-action, lifetime value).
• Experience with consent management, PII handling and privacy-by-design.
• Proven ability to engage senior stakeholders and communicate complex architecture clearly.

Nice to have

• Consulting or advisory background.
• Experience in highly regulated industries.
• Exposure to MarTech and customer activation platforms (Adobe, Salesforce, Braze).
• Experience with LLMs, embeddings, vector databases or RAG architectures.
• Strong whiteboarding, documentation and executive communication skills.

Why this role?

• Work on high-impact, multi-year transformation initiatives
• Significant influence over customer data and AI strategy
• Senior visibility with genuine architectural ownership
• Modern data, AI and cloud-first environment
• Flexible working and strong engineering culture

Apply For Job