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Описание вакансии
Текст:
TL;DR
Manager, People Analytics (AI): Leading a product squad to develop "People Products" and workforce insights with an accent on predictive analytics and AI agent integration. Focus on transforming raw workforce data into strategic assets and building a secure, open-source data stack.
Company
A pioneering tech firm at the forefront of the global move to open source and the creator of the Ubuntu platform.
What you will do
- Lead and mentor a cross-functional squad of People Data Scientists, Software Engineers, and UX Designers.
- Develop predictive and prescriptive insights to solve complex business challenges, such as predicting attrition risk.
- Oversee the "People Data Stack" to ensure it remains secure, GDPR-compliant, and a single source of truth.
- Design and implement AI Agents capable of surfacing real-time insights to managers.
- Bridge the communication gap between human behavioral intent (HR) and technical engineering implementation.
Requirements
- Background in data science, mathematics, or engineering with skills in advanced statistics and SQL.
- Proficiency in coding/scripting languages such as Python, R, or JavaScript.
- Experience with data visualization tools like Superset or Tableau.
- Business level written and spoken English.
- Proven ability to lead teams and execute against well-planned roadmaps with a coaching mindset.
- Willingness to travel internationally 2-4 times per year for company events.
Nice to have
- Experience with Airbyte, Ranger, Superset, Temporal, or Trino.
- Basic understanding of containerization (Docker, Kubernetes).
- Knowledge of Agentic Engineering, Product Management, or UX Design.
Culture & Benefits
- Distributed work environment with twice-yearly in-person team sprints.
- Personal learning and development budget of $2,000 per year.
- Generous time off with 40 days of annual leave, including public holidays.
- Bi-annual compensation reviews and performance-driven bonuses.
- Comprehensive support via a Team Member Assistance Program and Wellness Platform.
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