$ cat jobs/analytics-engineering-manager-ai-agentic-analytics-deliveryhero-68a4f8bf137f.json
Analytics Engineering Manager (AI & Agentic Analytics)
foodpanda is part of the Delivery Hero Group, the world’s pioneering local delivery platform, our mission is to deliver an amazing experience—fast, easy, and to your door. We operate in around 65 countries worldwide. Headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index. We are building an AI Center of Excellence and we are looking for a dynamic Analytics Engineering Manager (AI & Agentic Analytics) to be a player-coach to lead it from the inside. You will manage a team of analytics engineers, but you will also write code, design models, and ship LLM-powered automations that make different business and product functions measurably faster. This is not a strategy-deck role. It's for someone intrinsically motivated by the question: *what should analytics look like when agents can query, reason, and act on our data?* Responsibilities: Lead and mentor a high-performing team: Develop analytics engineers while remaining hands-on with code and design. Set best practices, foster collaborative code reviews, and create an environment where your team ships predictable, high-quality work. Ship AI that transforms how we work: Identify high-impact automation opportunities and bring them to life with LLMs. Build internal copilots, workflow agents, and intelligent data QA bots that measurably accelerate across different business and product teams. See your work directly impact the business. Own the semantic layer that powers everything: Design and maintain the metrics, entities, and metadata foundation in dbt and BigQuery that both analysts and AI agents rely on. Be the architect of a trusted, scalable data language that becomes the single source of truth across the organization. Make AI observable and continuously improve: Implement evaluation and monitoring frameworks using tools like Langfuse or Phoenix. Track quality, cost, latency, and drift in real-time, then close the loop with dat
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