Senior Data Platform & AI Engineer Lead

McKinsey; Bogotá; On-site; COP 200,000,000 - 400,000,000; Full time

Job summary

McKinsey is seeking a senior data engineering leader to drive technical strategy and build scalable data pipelines for enterprise AI platforms. You will mentor teams, collaborate with clients, and advance R&D across diverse industries.

You will lead cross-functional teams, own technology decisions, and help accelerate AI adoption while ensuring security and governance. This role offers global collaboration and growth within QuantumBlack, AI by McKinsey.

Qualifications

• Degree in Computer Science, Engineering, Mathematics, or equivalent experience.
• 10+ years relevant professional experience.
• Ability to scope projects, define workstreams, and translate roadmaps into sprint goals within agile environments.
• Proven experience architecting enterprise data and AI platforms and scalable data pipelines for production use cases.
• Strong leadership and mentoring experience with junior colleagues.
• Expertise in DevOps, DataOps, and MLOps and in implementing software engineering best practices.
• Proficiency with distributed computing and cloud platforms (Spark, AWS/Azure/GCP); containerization (Docker/Kubernetes); data tools (Databricks, Airflow, SQL, PySpark); and data libraries (Pandas, NumPy).
• Proven client-facing or senior stakeholder management experience.
• Excellent communication in English and Portuguese; willingness to travel.

Responsibilities

• Lead multiple technical teams and own the technology stack for enterprise data and AI platforms.
• Architect data platforms and build scalable data pipelines for ML use cases.
• Mentor colleagues and collaborate with clients at all levels.
• Drive R&D and innovation within the Data Engineering community.
• Deliver robust, scalable, and reproducible analytics solutions across industries.

Skills

Data engineering

Cloud platforms

Leadership

Agile/DevOps

Programming (Python/Java/Scala)

Education

Degree in CS/Engineering/Math

Tools

Databricks

Airflow

SQL

Docker/Kubernetes

Pandas/NumPy

Spark

Job description

McKinsey is seeking a senior data engineering leader to drive technical strategy and build scalable data pipelines for enterprise AI platforms. You will mentor teams, collaborate with clients, and advance R&D across diverse industries.

You will lead cross-functional teams, own technology decisions, and help accelerate AI adoption while ensuring security and governance. This role offers global collaboration and growth within QuantumBlack, AI by McKinsey.