Engineering Manager (AI/Data)
The Engineering Manager (AI & Data) leads engineering teams across data pipelines, MLOps, and applied AI. They oversee system reliability, code quality, and project delivery while unblocking engineers and supporting their career progression.
The Engineering Manager (AI & Data) leads engineering teams across data pipelines, MLOps, and applied AI. They oversee system reliability, code quality, and project delivery while unblocking engineers and supporting their career progression.
Effective managers combine prior engineering experience in distributed systems or ML with strong organizational skills, technical standard setting, and close alignment with product leadership.
Methodologies & technical foundations (% penetration)
Infrastructure & tooling demanded in job specs (% penetration)
Seniority Level Breakdown
Corporate hierarchy distribution
Top Hiring Enterprises
Leading corporations posting this role
- UnitedHealth Group17 positions
- McDonald's6 positions
- Google (Alphabet)4 positions
- Alphabet Inc. (Class A)4 positions
- Alphabet Inc. (Class C)4 positions
- Coinbase4 positions
S&P 500 Sector Distribution
Industry sectors generating the highest hiring demand
- Health Care27.5%
- Communication Services23.2%
- Consumer Discretionary17.4%
- Financials13%
- Information Technology10.1%
Live Enterprise Job Postings
Sample of active postings directly from corporate ATS boards
Engineering Manager, AI Platform & Agentic Apps
Senior Manager, AI Engineering
Senior Manager, Analytics Engineering
Manager, Enterprise Data Platform
Systems Manager - GCP Data Engineering, Enterprise Data & Analytics
Senior Engineering Manager - Agent Platform, AI Platform
Agentic AI Engineering Manager
Sr. Engineering Manager, AI on Sensor (Hybrid)
Recommended Skill Tracks & Certifications
Curated programs on Coursera, DataCamp and cloud providers aligned with these role requirements
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