DescriptionThe
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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