FREE ACCESS
5,000–10,000 jobs/day
See all jobs on JobTailor
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.

Director of Data Engineering, Data Science
The Job SauceDirector 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.
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
data engineeringbusiness intelligenceanalyticsdata sciencemachine learningdata architecturescalable data pipelinesmodel operationalization
Soft Skills
communicationstakeholder managementmentoringcoaching
Tools & Technologies
Azure data stackMicrosoft FabricAzure Synapse AnalyticsPower BI
Industry Keywords
data platformscloud data platformstechnical visiondelivery strategy
Tech Stack
Tools & technologiesAzureCloud
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