6 дней назад
Data Manager (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Manager (AI): Building and leading interdisciplinary data teams spanning analytics, data engineering, and ML in a mobile gaming company with an accent on AI-enabled analysis, Databricks, and high-frequency data. Focus on designing generalist team structures, driving daily Claude adoption, and translating complex data into decision-ready recommendations.
Location: Hamburg, Germany; flexible hybrid model with work from home on Mondays and Fridays and office attendance on Tuesdays, Wednesdays, and Thursdays
Company
builds consumer products across multiple brands in the mobile gaming industry, including rewarded user acquisition products.
What you will do
- Build and lead interdisciplinary data pods combining analytics, data engineering, and ML.
- Establish team rituals, communication practices, prioritization, and collaboration routines.
- Guide the transition from siloed analyst work to a generalist model supported by Claude and Databricks.
- Work hands-on with Claude, Databricks, and high-frequency data updated every few minutes.
- Partner with leadership on target profiles, hiring needs, and team growth.
- Drive evidence-based decisions and translate insights into clear, decision-ready recommendations.
Requirements
- At least 5 years of experience in data analytics, including at least 2 years in a leadership role.
- Hands-on people management experience and the ability to balance technical depth with team leadership.
- Several years of hands-on Databricks and/or Spark experience.
- Daily use of Claude or similar AI tools in personal workflows.
- Understanding of at least two areas among analytics, data engineering, ML, and data science.
- Clear communication skills and the ability to influence senior stakeholders in evolving environments.
Culture & Benefits
- Fast-paced environment focused on rapid testing, learning, and execution.
- Direct communication, ownership, and practical problem-solving are expected.
- Transport subsidy, learning budget, wellness and gym benefits, and workation options.
- Bi-weekly team lunches and a collaborative, trust-focused working environment.
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