Senior Data Platform & AI Engineering Lead
McKinsey
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Benefits offered by this job
Job summary
McKinsey & Company in North America seeks a senior Data Engineering leader to drive enterprise AI platforms and scalable data pipelines. You will mentor teams, partner with clients, and advance R&D across industries while delivering robust, secure, and reproducible solutions.
You will work with Data Scientists, ML Engineers, and domain experts in cross-functional teams, shaping the technology strategy and accelerating AI adoption at scale.
Qualifications
- Degree in Computer Science, Engineering, Mathematics or equivalent
- 10+ years relevant professional experience
- Experience architecting enterprise data and AI platforms and scalable data pipelines for production
- Proven leadership and mentoring of junior colleagues
- Expertise in DevOps, DataOps, and MLOps practices
- Strong communication and stakeholder management skills
Responsibilities
- Lead multiple technical teams and own the technology stack for enterprise data and AI platforms
- Architect robust, scalable data pipelines for machine learning and analytics
- Mentor colleagues and collaborate with clients at all levels
- Drive innovation within the QuantumBlack, AI by McKinsey Data Engineering community
Skills
Education
Tools
Job description
McKinsey & Company in North America seeks a senior Data Engineering leader to drive enterprise AI platforms and scalable data pipelines. You will mentor teams, partner with clients, and advance R&D across industries while delivering robust, secure, and reproducible solutions.
You will work with Data Scientists, ML Engineers, and domain experts in cross-functional teams, shaping the technology strategy and accelerating AI adoption at scale.
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