Senior Operations Research & AI Analytics Lead

McKinsey & Company; New York (NY); On-site; USD 176,000 - 180,000; Full time

Job summary

McKinsey & Company in the United States is seeking a senior technical leader to accelerate AI adoption across industries. You will work in multidisciplinary teams of engineers, data scientists, product managers, and designers to design scalable analytics platforms and AI solutions.

The role emphasizes operations research, optimization, NLP and generative AI, with opportunities to build frameworks like Kedro and ARK and to present results to client leadership.

Qualifications

• 5+ years of deep technical experience in optimization or related data science work.
• Proficiency in Python, C++, and Java for building scalable AI/ML solutions.
• Strong knowledge of supply chain concepts (S&OP, production planning, logistics).
• Experience applying OR methods in commercial contexts.
• Familiarity with modern data tooling and software development practices.

Responsibilities

• Collaborate with multidisciplinary teams to create AI/analytics platforms.
• Develop frameworks and libraries including open-source Kedro and ARK.
• Apply operations research methods to client supply chain challenges.
• Deliver end-to-end analytics solutions from diagnostics to implementation.
• Present results to client leadership and support implementation.

Skills

Python

C++

Java

Optimization

Operations Research

Data Science

NLP/GenAI

Communication

Presentation

Willingness to Travel

Education

Bachelor's/Master's/PhD in CS/ML/Math/Engineering/AI

Tools

Kedro

PySpark

PyData Stack

SQL

Airflow

Databricks

Docker

Kubernetes

AWS

GCP

Azure

Job description

McKinsey & Company in the United States is seeking a senior technical leader to accelerate AI adoption across industries. You will work in multidisciplinary teams of engineers, data scientists, product managers, and designers to design scalable analytics platforms and AI solutions.

The role emphasizes operations research, optimization, NLP and generative AI, with opportunities to build frameworks like Kedro and ARK and to present results to client leadership.