Lead Data Platform Architect for Enterprise AI

McKinsey; New York (NY); On-site; USD 217,000 - 220,000; Full time

Job summary

McKinsey's QuantumBlack unit seeks a seasoned Data Engineering leader to architect enterprise data and AI platforms. You will guide multiple technical teams, build robust data pipelines for ML, and mentor junior colleagues while engaging with clients across industries.

You will drive R&D, contribute to AI initiatives, and shape the data engineering community within McKinsey. A North America office-based role supports cross-functional Agile teams.

Qualifications

• Degree in Computer Science, Engineering, Mathematics, or equivalent experience.
• 10+ years relevant professional experience.
• Experience architecting enterprise data and AI platforms with scalable data pipelines in production.
• Proven leadership and mentoring of junior colleagues.
• Expertise in DevOps, DataOps, and MLOps.
• Strong software and data engineering skills across Spark, Dask, cloud platforms, containers, analytics libraries, and orchestration tools.

Responsibilities

• Lead technical teams and architect data platforms.
• Build scalable pipelines for machine learning and ensure security standards.
• Mentor colleagues and collaborate with clients at all levels.
• Drive R&D projects and contribute to QuantumBlack, AI by McKinsey initiatives.
• Partner with QuantumBlack teams to create innovative ML systems and accelerate AI adoption.

Skills

Project scoping

Mentoring

Client-facing

Time management

Communication

Travel readiness

Languages: Python/Scala/Java

Stakeholder management

Software/data engineering

Agile & iterative delivery

Education

Degree in Computer Science, Engineering, Mathematics, or equivalent experience

Tools

Spark

Dask

AWS

Azure

GCP

Docker

Kubernetes

Databricks

Airflow

SQL

PySpark

Kedro

RAPIDS

Pandas/NumPy/Matplotlib

Job description

McKinsey's QuantumBlack unit seeks a seasoned Data Engineering leader to architect enterprise data and AI platforms. You will guide multiple technical teams, build robust data pipelines for ML, and mentor junior colleagues while engaging with clients across industries.

You will drive R&D, contribute to AI initiatives, and shape the data engineering community within McKinsey. A North America office-based role supports cross-functional Agile teams.