Related skills
data infrastructure scrum data pipelines data governance kanban📋 Description
- Lead a team of 6–9 Data Engineers and Analytics Engineers.
- Own data infrastructure, medallion layers, and data pipelines.
- Collaborate with Data Science, Product, and Customer Success teams.
- Define agile delivery processes and ensure timely delivery.
- Align goals with Data Science, Product, and Engineering leaders.
- Hire and scale a high-performing data engineering team.
🎯 Requirements
- 8+ years in data science, data engineering, or ML roles.
- 4+ years in people or delivery management leading technical contributors.
- Cross-functional ML team delivery across multiple workstreams.
- Strong understanding of the DS lifecycle from ideation to deployment.
- Practical experience with Scrum/Kanban and delivery facilitation.
- Experience with LLM Ops, agentic framework, data governance, productionization.
🎁 Benefits
- Stock options and comprehensive benefits.
- Total compensation includes benefits and perks.
- Collaborative, fast-paced culture that values learning and experimentation.
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