Director, Data Engineering – Data Science Engineering

This is a fully remote position, open to applicants in Illinois.

📋 Description

• Oversee the Data Engineering and Data Science Engineering operations for IAA, establishing the technical vision, delivery strategy, and operational rhythm.

• Develop and enhance scalable data platforms, BI architecture, and ML-enablement capabilities utilizing the Azure data and analytics stack.

• Lead the strategy and execution across Microsoft Fabric, Synapse, Power BI, Azure BI technologies, and contemporary cloud data platforms.

• Collaborate with business and functional leaders to address high-impact problems across Operations, Sales, Marketing, Product, and other critical areas.

• Direct the design and execution of robust data pipelines, semantic models, dashboards, self-service analytics, forecasting solutions, and machine learning systems.

• Contribute to shaping the roadmap for advanced analytics, predictive modeling, experimentation, and AI-driven insights.

• Mentor, coach, and develop data engineering and data science talent while elevating the technical standards across the team.

• Establish and promote strong engineering practices concerning architecture, delivery quality, scalability, governance, and operational excellence.

• Work closely with engineering leaders and cross-functional teams to ensure that data and AI solutions align with platform, product, and business priorities.

• Serve as a senior thought partner to leadership regarding data strategy, technical trade-offs, and investment priorities.

⛳️ Requirements

• Demonstrated experience leading Data Engineering, BI, Analytics, and/or Data Science Engineering teams at the Director level or equivalent.

• Extensive knowledge of the Azure BI/data technology stack, including:

• Microsoft Fabric

• Azure Synapse Analytics

• Power BI

• Additional Azure data and analytics services

• Strong comprehension of data engineering architecture, modern analytics platforms, and scalable data pipelines.

• Solid background in data science, machine learning, and model operationalization.

• Proven capability to address complex business challenges through data, analytics, and technical leadership.

• Exceptional mentoring, coaching, and people leadership abilities with experience in nurturing high-performing technical teams.

• Outstanding communication and stakeholder management skills; adept at collaborating with a diverse range of technical and non-technical partners, including Ops, Business, Sales, Marketing, Product, and Engineering.

• Ability to thrive in a fast-paced, high-visibility environment with multiple priorities and stakeholders.

• Strong executive presence and the capability to link technical decisions to business outcomes.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health benefits, including medical, dental, and vision coverage.

• Opportunities for professional development and continuous learning.

• Flexible work arrangements to support work-life balance.

• Engaging work environment with a focus on innovation and collaboration.