Senior Director, Data Technology.

Isn't it time you bragged about where you work? At CARFAX, we do every day. We pride ourselves on being mission-focused on helping to grow a brand built on accuracy and integrity. We care deeply about our products and our customers. We’re more than just a company: We help millions of consumers make more informed decisions every day. We know that our teammates are our most valuable asset, and we value a balanced life while tackling challenging projects in a fast-paced environment. 

The Senior Director, Data Technology will lead the transformation of a legacy data technology organization into a modern, cloud-native platform that powers products, analytics, and AI-driven insights. This senior leader will partner with Product and Engineering leadership to define technology strategy, build a high-performing organization, and unlock greater business value from data.

The Role: This leader will execute the technology strategy for a unified data platform, modernizing legacy technologies into an AWS cloud-native ecosystem. The role bridges Technology, Product, and the business to create trusted data, reusable intelligence, and scalable capabilities that power products, analytics, and AI. Success requires a builder mindset, strong organizational leadership, and the ability to drive change across teams while fostering a collaborative One-platform culture.

Top Strategic Priorities

• Lead Data Platform Transformation Across North America and Europe
• Modernize Cloud-Native Data Capabilities
• Build a High-Performing Organization
• Unlock Greater Business Value from Data

 Key Responsibilities

• Partner closely with enterprise teams, as well as CARFAX product and technology leaders to align data strategies with broader product and business priorities.
• Execute a unified data platform strategy within CARFAX businesses aligned to long-term business objectives.
• Lead the migration from legacy on-premises technologies to AWS cloud-native services.
• Modernize downstream data platforms, business rules, and interpretation capabilities.
• Expand AI and advanced analytics to generate new data insights and reusable intelligence.
• Improve data quality, reliability, scalability, and operational excellence.
• Build engineering leadership capability, succession depth, and a high-performing organization.
• Lead organizational change while fostering an inclusive, collaborative culture across teams and regions.

Qualifications

• 12+ years leading data engineering, software engineering, or data technology organizations.
• Proven success leading enterprise data platforms and cloud transformation initiatives.
• Deep AWS and modern data platform expertise.
• Experience partnering with Product and executive stakeholders.
• Track record of building engineering leaders and leading organizational change.
• Strong understanding of AI, advanced analytics, and large-scale data ecosystems.

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