Position Details
About this role
Lead the ML Data Enablement team to improve data discovery, evaluation, trust, and productionization, enabling faster ML model deployment.
Key Responsibilities
- Set data strategy
- Lead data onboarding processes
- Improve data evaluation velocity
- Partner with ML teams
- Build scalable data infrastructure
Technical Overview
Focus on building scalable data infrastructure, workflows, and automation tools for ML data lifecycle management using cloud and internal platforms.
Ideal Candidate
The ideal candidate is a senior engineering leader with extensive experience in ML data platforms, data lifecycle management, and cross-functional collaboration. They possess strong strategic and technical expertise to accelerate data evaluation and production for ML models.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience in ML data platforms, No leadership experience in data enablement, Unable to work remotely in US, No experience with data lifecycle or evaluation
Get matched to jobs like this
Luna finds roles that fit your skills and career goals — no endless scrolling required.
Create a Free Profile