Director of Data Engineering & Data Science - IAA
Hybrid · Chicago, Illinois, United States
Job Summary
Director-level leadership role steering IAA's data engineering and data science functions. Responsible for defining vision, architecture, and execution across data platforms, BI, forecasting, and ML/AI solutions using Azure stack (Fabric, Synapse, Power BI). Lead cross-functional collaboration with Operations, Sales, Marketing, Product, and Engineering; shape the roadmap for advanced analytics, predictive modeling, and AI-driven insights; mentor and grow talent; establish engineering practices for scalable, secure data pipelines and analytics capabilities; partner with leaders to ensure data/AI initiatives align with business priorities and deliver tangible outcomes.
Required Qualifications
- 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, Broader Azure data and analytics services
- Strong understanding of data engineering architecture, modern analytics platforms, and scalable data pipelines
- Strong foundation in data science, machine learning, and model operationalization
- Demonstrated ability to solve complex business problems through data, analytics, and technical leadership
- Strong mentoring, coaching, and people leadership skills with experience growing high-performing technical teams
- Excellent communication and stakeholder management skills; able to work effectively with Ops, Business, Sales, Marketing, Product, Engineering
- Ability to operate successfully in a fast-paced, high-visibility environment with multiple priorities and stakeholders
- Strong executive presence and ability to connect technical decisions to business outcomes
- Experience leading organizations that combine data engineering, analytics engineering, BI, and data science under one leadership model
- Experience supporting enterprise use cases across operations, commercial functions, and product-driven organizations
- Experience driving both BI modernization and data science / ML adoption within the same organization
Desired Qualifications
- 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, and broader Azure data and analytics services
- Strong mentoring, coaching, and people leadership skills with experience growing high-performing technical teams
- Excellent communication and stakeholder management skills; able to work effectively with Ops, Business, Sales, Marketing, Product, Engineering
- Experience guiding data architecture, pipelines, dashboards, and AI/ML enablement across large-scale platforms
- Experience with cloud-native engineering practices, production-grade data platforms, and secure, scalable AI/ML environments
- Ability to shape data strategy and translate business needs into scalable data/AI solutions
- Experience in leading cross-functional partnerships and driving technical roadmaps
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