Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
JobTailor Logo

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.
Cars Commerce

VP, Head of Data

Cars Commerce

Lead the enterprise data organization at Cars Commerce to modernize and integrate data functions. Drive architectural stabilization, governance clarity, and decision velocity across business operations.

Posted 4/16/2026full-timeRemote • 🇺🇸 United StatesLead💰 $252,800 - $328,650 per yearWebsite

About the role

Key responsibilities & impact
  • Lead enterprise data organization through modernization and integration
  • Unify Data Engineering, Data Science, Revenue Analytics, and Business Intelligence into a high-performing organization
  • Drive architectural stabilization and governance clarity across the company
  • Execute a multi-year modernization plan to democratize data consumption
  • Improve decision velocity and revenue-driving capability through trusted data
  • Establish clarity across departments on trusted performance indicators
  • Oversee applied data science initiatives and ensure models integrate into product functions

Requirements

What you’ll need
  • 15+ years of progressive data leadership experience, with 5+ years at the VP/SVP level leading multidisciplinary organizations across data engineering, analytics, and data science
  • Demonstrated history influencing C-suite leaders and public company Boards to secure investment and deliver enterprise-scale data transformation initiatives
  • Strong foundational experience in database architecture, data engineering, or data platform design
  • Demonstrated ability to steer and evaluate enterprise data platform decisions across storage, compute, orchestration, and semantic modeling
  • Experience selecting and evolving data stack components based on business needs and scalability requirements
  • Working understanding of the systems, data infrastructure, and experimentation frameworks for AI/ML initiatives
  • Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical discipline, or equivalent practical experience
  • Advanced degree (e.g., MS, MBA) is a plus but not required.

Benefits

Comp & perks
  • Medical, Dental & Vision Healthcare Plans
  • New Hire Stipend for Home Office Set-Up
  • Generous PTO
  • Paid Holidays, Floating Holiday, Volunteer Day, Recharge Day

ATS Keywords

✓ Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data engineeringdata sciencerevenue analyticsbusiness intelligencedatabase architecturedata platform designdata stack componentsAI/ML initiativessemantic modelingorchestration
Soft Skills
leadershipinfluencingcommunicationorganizational claritydecision-makingcollaborationstrategic planninggovernancemodernizationperformance evaluation
Certifications
Bachelor’s degree in Computer ScienceBachelor’s degree in EngineeringBachelor’s degree in MathematicsMaster’s degree (MS)MBA