Lead Data Platform Architect for Enterprise AI
McKinsey
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Benefits offered by this job
Job summary
McKinsey invites a senior data engineer to lead technical teams and own the technology stack for enterprise data and AI platforms. You will design robust data pipelines for machine learning, mentor junior engineers, and collaborate with clients across industries to deliver scalable analytics solutions.
You will work with QuantumBlack, AI by McKinsey, and QuantumBlack Labs to accelerate AI adoption and solve real-world business challenges, while growing as a technologist in a global,
Qualifications
- Need 10+ years of professional experience leading data/AI platforms.
- Proven ability to architect enterprise data and AI pipelines in production.
- Experience mentoring junior engineers and leading teams.
- Strong communication with executives and clients.
Responsibilities
- Lead technical teams and own the technology stack for data/AI platforms.
- Architect scalable data pipelines for machine learning while upholding security.
- Mentor junior colleagues and contribute to R&D projects.
- Collaborate with clients and cross-functional teams to deliver value.
Skills
Education
Tools
Job description
McKinsey invites a senior data engineer to lead technical teams and own the technology stack for enterprise data and AI platforms. You will design robust data pipelines for machine learning, mentor junior engineers, and collaborate with clients across industries to deliver scalable analytics solutions.
You will work with QuantumBlack, AI by McKinsey, and QuantumBlack Labs to accelerate AI adoption and solve real-world business challenges, while growing as a technologist in a global,
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