Head of AI Data Platform & Enterprise Architecture

Oyster®; United Kingdom; On-site; GBP 180,000 - 260,000; Full time

Job summary

Oyster is seeking a Senior Director, Data Platform and AI to own the technical infrastructure and strategic direction of our AI-native global platform. You will lead data platforms, product analytics pipelines, knowledge management, and automation layer frameworks to scale AI across the business.

You will drive the transition from experimental AI to centralized, governed systems, reducing cost-to-serve while empowering global teams.

Qualifications

• A genuine passion for AI and demonstrated ability to drive organizational change around AI adoption.
• Proven experience in data engineering, distributed systems, and platform services infrastructure.
• Strong track record in MLOps, data pipelines, model governance, and AI infrastructure.
• Experience translating complex AI concepts into scalable, production-grade systems.

Responsibilities

• Drive company-wide AI agenda and productionize centralized AI systems.
• Lead high-impact AI initiatives across multiple teams and domains.
• Embed AI capabilities into customer-facing platform and internal workflows.
• Oversee architecture decisions for data and AI infrastructure, including MLOps pipelines and LLM orchestration.
• Develop scalable data platforms that support AI and ML capabilities company-wide.
• Transform knowledge management with structured data architectures and retrieval systems.
• Set engineering standards and guardrails for AI specialists across units.

Skills

Data engineering

Distributed systems

MLOps

LLM orchestration

Platform architecture

AI strategy

Stakeholder management

Change management

Data governance

Cloud

Tools

ML tooling

Job description

Oyster is seeking a Senior Director, Data Platform and AI to own the technical infrastructure and strategic direction of our AI-native global platform. You will lead data platforms, product analytics pipelines, knowledge management, and automation layer frameworks to scale AI across the business.

You will drive the transition from experimental AI to centralized, governed systems, reducing cost-to-serve while empowering global teams.