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Team Lead Data and AI (all genders)

heyData•Germany•🌍 Remote
Full-time7-15
👁️ 0 views•📝 0 applications•Posted 8/22/2026•Expires 10/21/2026
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Job Description

Lead our Data & AI Department: Build scalable analytics solutions, shape data strategy, and empower teams with AI-driven workflows and optimizations. Are you passionate about turning raw data into strategic insights that drive business success?

And just as excited about leading the team that turns manual, assumption-heavy processes into reliable, AI-powered ones? Do you thrive in a fast-paced startup environment where you have the autonomy to shape and scale both our data infrastructure and how the whole company works with AI? Then, heyData is your next stop!

As Team Lead Data & AI, you'll own our data infrastructure and analytics and be responsible for launching and building a dedicated function to drive AI Adoption across heyData . Initially, you’ll lead a team of three: An Analytics Engineer and two Business Automation & AI Managers.

You'll ensure data-driven decision-making and foster a Data- and AI-first culture inside heyData .

Your Mission Own Data Architecture & Infrastructure: Own and maintain our end-to-end BI setup (currently Airbyte/Fivetran, dbt, Snowflake, Metabase), replacing the strategic and architectural work currently done by an external consultancy.

Develop Scalable Data Models: Build and maintain reliable, scalable data models that ensure data integrity and accuracy across all business functions. Drive Strategic Insights: Analyze business performance metrics, identify trends, and provide actionable recommendations to leadership and various teams.

Lead, Build & Manage the Data & AI Team: Set priorities, mentor, run 1:1s, and ensure the AI use-case backlog is sequenced by impact and feasibility. Own Data & AI Governance: Set the standard for how AI-enabled workflows built by the Business Automation & AI Managers handle customer and compliance-relevant data.

Leverage AI-Augmented Analytics Workflows : Apply AI coding tools to accelerate development, improve code quality, and establish best practices for AI-assisted analytics and workflow across the

Required Skills

AirbyteFivetrandbtSnowflakeMetabasePythonAI coding toolsAWS

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