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AI READY INFRASTRUCTURE
The Source of Truth: Design, develop and maintain the organisational semantic layer. You will ensure that AI agents and human analysts alike are using consistent, governed definitions for KPIs and analytics across the business.
Data Readiness: Lead the effort to structure and clean disparate data sources into a format optimised for LLM consumption.
Scalability: Ensure the architecture is modular, allowing us to add new use cases without rebuilding the core engine.
AGENTIC AI FRAMEWORK DEVELOPMENT
Multi-Agent Orchestration: Build and manage an ecosystem of agents capable of performing complex commercial reasoning.
Strategic Function Support: partner with leads in Strategy, Net Revenue Management, Category Management, Shopper Marketing and Sales to automate manual workflows and provide deep-dive insights at the push of a button.
Sales Enablement: design and deploy agents that equip our sales teams with real-time insights and tools to help drive actions and execution.
TECHNICAL LEADERSHIP AND STRATEGY
Vision and Roadmap: Define the technical roadmap for AI adoption across the business.
Coaching and Management: Provide technical governance and coaching to the Junior Data Scientist and coordinate with the other data specialists to ensure a unified technical approach.
Innovation: Maintain a frontier view of AI, evaluating new frameworks and data modelling techniques to keep us ahead of the curve.
AI and Agents: experience building agentic workflows and multi-agent systems, you understand the nuances of prompt engineering, tool-calling and RAG.
Data Modelling: Expert knowledge of semantic layer modelling and data engineering.
The Stack: Proficiency in Python, SQL and cloud data warehouses (e.g. Snowflake).
Domain Knowledge: You understand the levers of a commercial business, how price elasticity, trade promo ROI, space planning and other levers drive the bottom line.
Consultant Mindset: You can sit with senior stakeholders, understand their pain points and translate them into a technical Agent specification.
Architectural Thinking: You don’t just build scripts, you build systems that last. You are obsessed with documentation, version control and scalable code.
At Red Bull, we exist to give people wiiings. To achieve that, we recognise the value that comes from having a highly diverse workforce that has the freedom and responsibility to realise their ideas and seize opportunities. We make recruiting decisions based on experience, skills, potential and talent: everyone is welcome here.