onsite
Analytics Engineering Manager AI & Agentic Analytics
Engineering Manager
Lead a team of analytics engineers to design, build, and maintain AI‑driven data pipelines using dbt, ensuring high data quality and robust ELT/ETL processes for actionable insights.
About the role
Key Responsibilities
- Define and execute the analytics engineering strategy, focusing on AI‑enabled, agentic analytics solutions.
- Architect, develop, and maintain dbt models, ELT/ETL pipelines, and data quality frameworks across the organization.
- Mentor and grow a high‑performing team of analytics engineers, fostering best practices in data modeling and governance.
- Collaborate with data scientists, product managers, and business stakeholders to translate analytical requirements into scalable data solutions.
- Drive continuous improvement of data reliability, performance, and observability through automated testing and monitoring.
Requirements
- 5+ years of experience in analytics engineering or data engineering, with a strong focus on dbt and modern data stack tools.
- Proven track record building and optimizing ELT/ETL pipelines and ensuring data quality at scale.
- Hands‑on experience with AI/ML workflows and integrating model outputs into production data pipelines.
- Strong leadership skills, capable of managing and developing technical teams.
- Excellent communication and stakeholder management abilities.