IAA
IAA
DirectorofDataEngineering&DataScience-IAA
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“Director of Data Engineering & Data Science - IAA at IAA. Skills: Data Engineering, Data Science, Machine Learning, BI Architecture. Lead Data Engineering and Data Science. Set technical vision”
What You'll Achieve.
Support business growth; Achieve operational excellence; Create competitive advantage
Industry & Context.
Business problem solving
What They're Looking For.
Must Have
Director level leadership experience, Deep Azure BI/data expertise, Data engineering architecture knowledge, Modern analytics platform knowledge, Scalable data pipeline knowledge, Foundation in data science, Foundation in machine learning, Model operationalization foundation, Solve complex business problems, Mentoring and people leadership, Growing technical teams, Excellent communication skills, Stakeholder management skills, Work with technical partners, Work with non-technical partners
Nice to Have
Experience supporting enterprise use cases, Experience driving BI modernization, Experience driving data science/ML adoption, Familiarity with cloud-native engineering, Familiarity with production-grade data platforms, Familiarity with secure AI/ML environments, Experience leading combined data orgs
What You'll Do.
Lead Data Engineering and Data Science
Set delivery strategy
Build scalable data platforms
Evolve BI architecture
Evolve ML-enablement capabilities
Drive strategy for Microsoft Fabric
Drive strategy for Synapse
Drive strategy for Power BI
Drive strategy for Azure BI
Drive strategy for cloud platforms
Partner with business leaders
Partner with functional leaders
Solve high-value problems
Guide design of pipelines
Guide implementation of pipelines
Guide design of semantic models
Guide implementation of semantic models
Guide design of dashboards
Guide implementation of dashboards
Guide design of self-service analytics
Guide implementation of self-service analytics
Guide design of forecasting solutions
Guide implementation of forecasting solutions
Guide design of machine learning systems
Guide implementation of machine learning systems
Shape roadmap for advanced analytics
Shape roadmap for predictive modeling
Shape roadmap for experimentation
Shape roadmap for AI-driven insights
Mentor data engineering talent
Coach data engineering talent
Grow data engineering talent
Mentor data science talent
Coach data science talent
Grow data science talent
Establish engineering practices
Establish architecture practices
Establish delivery quality practices
Establish scalability practices
Establish governance practices
Establish operational excellence practices
Collaborate with engineering leaders
Collaborate with cross-functional teams
Act as senior thought partner
Advise on data strategy
Advise on technical tradeoffs
Advise on investment priorities
How You'll Work.
Team & Collaboration
Cross-functional teams; Engineering leaders; Business leaders; Functional leaders; Ops partners; Sales partners; Marketing partners; Product partners; Engineering partners
Communication Scope
Stakeholder management; Executive presence
Process & Methodology
Roadmap planning
Full Job Description
About the Role IAA is seeking a Director of Data Engineering & Data Science to lead a highly visible, business-critical function at the intersection of data, analytics, machine learning, and business transformation. This leader will define and drive the vision, architecture, and execution for IAA’s data engineering and data science capabilities, ensuring the organization can scale advanced analytics, BI, forecasting, machine learning, and AI solutions that directly support business growth and operational excellence. This role requires a strong technical leader and business problem solver who can partner across a broad set of stakeholders including Operations, Business, Sales, Marketing, Product, and Engineering. The ideal candidate brings deep expertise in the Azure BI and data ecosystem, strong people leadership, and the ability to translate complex business needs into practical, scalable data and AI solutions. This position reports directly to the VP of Engineering and is a critical, high-visibility leadership role within the organization. What You’ll Do - 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 - Guide the design and implementation of robust pipelines, semantic models, dashboards, self-service analytics, forecasting solutions, and machine learning systems - Help shape the roadmap for advanced analytics, predictive modeling, experimentation, and AI-driven insights - Mentor, coach, and grow data engineering and data science talent while raising the technical bar across t
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