Associate Director, Data Engineering

MCG develops evidence-based guidelines that help patients get the right care across healthcare settings. Our Data Science team combines AI with the expertise of our clinical editors and guidelines to improve the efficiency and accuracy of documentation workflows. We bring deep experience applying natural language processing to clinical data and are expanding what reliable, explainable agentic workflows can do.

As Associate Director, Data Engineering, you will shape the data foundation behind MCG’s AI products. You will partner with Product Managers, Software Engineers, and Data Scientists to build and operate the platform that moves data from ingestion to trusted datasets and actionable insights. Your work will help scientists improve our products, inform our AI roadmap, and give teams clearer ways to make data-informed decisions. This role spans platform engineering, data operations, analytics, and emerging agentic workflows, with room to shape how this capability grows.

You Will

• Partner with Product Managers and customers to understand needs, translate them into requirements, and design end-to-end data and insights solutions for AI features.
• Grow and maintain the data platform that supports MCG’s AI work, connecting data ingestion, transformation, governance, and delivery into dependable workflows.
• Develop and maintain high-quality, well-governed datasets that Data Scientists can use to build, evaluate, and continuously improve AI products.
• Use MCG’s data to identify patterns, opportunities, and customer-relevant insights that can inform product decisions and the AI roadmap.
• Create and maintain clear, dynamic dashboards that help partners across the business understand performance and make data-informed decisions.
• Apply strong data operations and software engineering practices to improve the quality, reliability, repeatability, and usability of data pipelines and platform capabilities.
• Collaborate across Product, Engineering, and Data Science to clarify tradeoffs, surface data risks early, and deliver solutions that meet technical and business needs.

Our Tech Stack 

• Python, C#, C++
• Databricks
• Flyte, Tableau, Power BI
• Azure, AWS

What We’re Looking For

• At least 10+ years of experience in data engineering, data science, or a related field. 
• Demonstrated experience building, maintaining, or growing data platforms that support AI or machine learning products.
• Strong data operations and software engineering skills, including experience designing reliable data workflows and production-ready pipelines.
• A clear understanding of the machine learning lifecycle and how dependable data supports model development and ongoing product improvement.
• Experience working with governed data lakes and applying sound practices for data quality, organization, and access.
• Ability to turn product, customer, and scientific needs into practical technical data solutions.
• Excellent written communication and collaboration skills, with the ability to explain data concepts and recommendations to varied audiences.

Preferred Qualifications 

• Experience with deep learning, natural language processing, or other applied AI methods.
• Experience working with healthcare or clinical data.