Director, Data Engineering & Analytics

Overview

Gray Construction's Information Services team has a Director, Data Engineering & Analytics role open in their Lexington, KY location.

 Responsibilities

Why Gray?

Gray is a fully integrated design-builder delivering end-to-end solutions across construction, professional services, specialty equipment, and real estate. Since 1960, Gray has grown from a regional contractor to a nationally ranked industry leader, serving top domestic and international companies in the following markets: Manufacturing, Food & Beverage, Data Centers, Advanced Technology, and Distribution. 

Our integrated approach allows us to deliver value at every phase of a project—from designing and building state-of-the-art facilities to fabricating custom process equipment and implementing advanced automation. 

 

But what truly defines Gray is our people. Our success is driven by passionate, collaborative team members who take pride in their work, value strong relationships, and are committed to doing the right thing for our customers and one another. At Gray, you’ll find a culture built on teamwork, accountability, and the opportunity to make a meaningful impact. 

 

“Personal growth precedes Gray’s growth.” – Stephen Gray, President & CEO, Gray, Inc.  

 

Position Summary

The Director of Data Engineering & Analytics is responsible for leading the enterprise data architecture and delivery capabilities that power analytics, reporting, and AI-driven initiatives across the Gray, Inc family of companies. This role leads data engineering and analytics functions to deliver scalable, secure, and high-quality data services, ensuring the business has trusted, accessible data to drive operational excellence, project performance, and innovation.  This position partners closely with other Technology Services and business teams by providing production-ready, governed, and scalable data pipelines and platforms.

 

This includes leading and enabling data management best practices, identifying common tools and frameworks, and partnering with Gray’s functional information groups to ensure a cohesive/integrated execution of the organization’s data management to support analytics, reporting and artificial intelligence initiatives that meets Gray’s business and customer needs.

 

With the goal of improving the integrity and processes surrounding data management as well as increasing Gray’s maturity level with enterprise-wide data management and analytics, this position will work with the Chief Information Officer, data governance team, other TS management as well as other business analysts and business leaders to assess corporate data management and identify opportunities for improvement.   This position will also drive best practices for solution development internally in Technology Services to keep a process and data centric approach to all solutions and applying the right technology to solve problems as a secondary means to support the business process with the cleanest data outcomes.  As a result, this position will find solutions and lead projects to implement improvements in the above identified areas.

 

 

Who we want… (Requirements)

• 10+ years of experience in data engineering, analytics, or software engineering
• 5+ years of leadership experience managing technical teams
• Bachelor’s degree from a four-year college or university required.
• Experience delivering enterprise-scale data platforms in complex, multi-system environments
• Industry experience in construction, engineering, or project-based businesses strongly preferred
• Strong knowledge of modern data architectures (data lakehouse, warehouse, distributed processing)
• Experience with cloud data platforms (Azure, AWS, or GCP) and modern tooling ecosystems
• Experience with pipeline orchestration and transformation tools (e.g., ADF, Airflow, dbt)
• Familiarity with BI/analytics platforms (e.g., Power BI) and semantic modeling concepts
• Understanding of data requirements for AI/ML (feature pipelines, data quality, large-scale datasets)
• Strong executive communication skills with the ability to translate technical concepts into business value
• Proven ability to align data initiatives with operational and financial outcomes
• Experience balancing innovation, scalability, and cost management
• Results orientated individual with the ability to deliver quality, on-time results
• Must have a willingness to educate their coworkers, have patience and the capability to support end-users
• Excellent verbal and written communication skills required
• Must be well organized, efficient, detail-oriented, and able to work independently as well as a member of a team
• Dem