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The Job Sauce

Director of Data Engineering, Data Science

The Job Sauce

Director of Data Engineering & Data Science leading strategic initiatives for data analytics and machine learning at IAA. Driving data solutions to enhance business performance and operational excellence.

Posted 6/1/2026full-timeChicago • Illinois • 🇺🇸 United StatesLeadWebsite

Tech Stack

Tools & technologies
AzureCloud

About the role

Key responsibilities & impact
  • Lead the Data Engineering and Data Science Engineering function for IAA, setting technical vision, delivery strategy, and operating rhythm
  • Build and evolve scalable data platforms, BI architecture, and ML-enablement capabilities using the Azure data and analytics stack
  • Drive strategy and execution across Microsoft Fabric, Synapse, Power BI, Azure BI technologies, and modern cloud data platforms
  • Partner with business and functional leaders to solve high-value problems across Operations, Sales, Marketing, Product, and other key areas
  • Mentor, coach, and grow data engineering and data science talent while raising the technical bar across the team

Requirements

What you’ll need
  • Proven experience leading Data Engineering, BI, Analytics, and/or Data Science Engineering teams at the Director level or equivalent
  • Deep expertise in the Azure BI / data technology stack, including Microsoft Fabric, Azure Synapse Analytics, Power BI
  • Strong understanding of data engineering architecture, modern analytics platforms, and scalable data pipelines
  • Strong foundation in data science, machine learning, and model operationalization
  • Excellent communication and stakeholder management skills; able to work effectively with a wide range of technical and non-technical partners

Benefits

Comp & perks
  • Health insurance
  • Retirement plans
  • Professional development

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data engineeringbusiness intelligenceanalyticsdata sciencemachine learningdata architecturescalable data pipelinesmodel operationalization
Soft Skills
communicationstakeholder managementmentoringcoaching