Senior Data Platform Leader for AI & ML at Scale

QuantumBlack, AI by McKinsey; Santiago; On-site; CLP 40,000,000 - 70,000,000; Full time

Job summary

QuantumBlack, AI by McKinsey is seeking a senior Data Engineering leader to drive the design and implementation of enterprise data platforms and scalable ML pipelines. You will guide cross-functional teams of data scientists, engineers, and stakeholders to deliver value at speed while upholding security and governance standards.

You will mentor junior engineers, contribute to R&D, and collaborate with clients across industries, traveling as needed.

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 and deliverables within agile environments.
• Proven experience architecting enterprise data and AI platforms and scalable data pipelines.
• Leadership and mentoring of junior colleagues.
• Experience implementing DevOps, DataOps, and MLOps practices.
• Strong software/data engineering expertise including distributed computing and cloud platforms.
• Proficiency in Python/Scala/Java and collaboration with junior engineers.
• Extensive client-facing or senior stakeholder management experience.
• Willingness to travel.
• Strong communication in English and Portuguese.

Responsibilities

• Lead technical teams and architect data platforms for scalable AI pipelines.
• Mentor colleagues and collaborate with clients at all levels.
• Drive R&D and innovation within the Data Engineering community.
• Deliver robust, secure, and reproducible data solutions across industries.

Skills

Project scoping

Senior leadership

English & Portuguese

Time management

Communication

Education

Degree in CS/Engineering/Math

Tools

Spark

Dask

AWS

Azure

GCP

Docker

Kubernetes

Pandas/NumPy

Databricks

Airflow

SQL

PySpark

Job description

QuantumBlack, AI by McKinsey is seeking a senior Data Engineering leader to drive the design and implementation of enterprise data platforms and scalable ML pipelines. You will guide cross-functional teams of data scientists, engineers, and stakeholders to deliver value at speed while upholding security and governance standards.

You will mentor junior engineers, contribute to R&D, and collaborate with clients across industries, traveling as needed.