Technical Director of Business Analytics

Technical Director of Business Analytics (W2 ONLY NO CTC)

Permanent 140-160

Westminster, CO

Strong preference for candidates willing to relocate to Colorado, though remote with travel is also an option. The role requires experience specifically in construction services (not product), ideally from a small to mid-sized company rather than enterprise. Travel expectations are approximately 20–30%, but it could realistically be closer to 50%, given the need for orientation, trainings, and executive meetings. While building a remote team is challenging, they’re open to it. If a candidate is based in Colorado, they must be more hybrid and onsite.

Responsibilities:

• Build and lead a brand-new internal data analytics function for our partner in the construction industry, delivering high-impact reporting and insights across operations, finance, and project performance.
• Own the full data pipeline from ingestion and modeling to visualization leveraging tools such as Azure Data Factory, Databricks, MS Fabric, and Power BI.
• Design, implement, and maintain a centralized data lake to serve enterprise-wide data needs.
• Deliver real-time dashboards and reporting systems to inform business decisions and drive efficiency.
• Serve as a "player-coach, directly building technical solutions while recruiting, onboarding, and mentoring a team of 1 5 data professionals.

Required:

• 8+ years of experience in data engineering, business intelligence, or analytics leadership roles.
• 3+ years of experience managing and growing technical teams in fast-paced or startup-like environments.
• Hands-on experience with Azure Data Factory, Databricks, Power BI, and Microsoft Fabric.
• Deep understanding of data modeling, ETL, and enterprise reporting frameworks.
• Background in construction, engineering, industrial services, or heavy infrastructure strongly preferred and required for consideration.

Preferred:

• Experience deploying AI/ML models or leading exploratory analytics projects involving predictive modeling.
• Prior success in building analytics capabilities within greenfield or early-stage environments in enterprise settings.
• Familiarity with cost forecasting, workforce data modeling, or job-costing systems.