AI-Driven Data Platform Leader

belron

Columbus (OH)

On-site

USD 180,000 - 270,000

Full time

6 days ago
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Job summary

Safelite AutoGlass seeks an AVP, Data Engineering and AI Innovation to lead enterprise data strategy, modernize the platform, and champion AI-enabled analytics. You will build high-performing teams and partner with supply chain, field operations, and finance to deliver trusted data assets and governance.

Executive leader with 10+ years in data roles and 7–9 years in leadership will drive self-service analytics and enterprise data management at scale, ensuring data quality and security across the

Qualifications

  • Bachelor's degree in computer science, analytics, engineering, or related field.
  • Master's degree in related fields preferred.
  • 10+ years in data engineering/analytics with leadership experience.

Responsibilities

  • Set and drive the multi-year strategic vision for enterprise data and AI initiatives.
  • Modernize the data platform and decommission legacy integrations.
  • Lead change management and stakeholder engagement across the business.
  • Build and grow high-performing data/BI teams with strong collaboration.
  • Reimagine data warehousing for AI-enabled self-service and trusted assets.
  • Pilot and scale AI/ML capabilities and data agents for automated delivery.

Skills

Strategic vision
Multi-year roadmaps
Leadership
SQL proficiency
Python
Cloud data warehousing
Data governance
BI tools (Tableau/PowerBI)
Communication

Education

Bachelor's degree in CS/Analytics/Engineering
Master's degree preferred

Tools

Snowflake
Databricks
BigQuery
Tableau/PowerBI
Excel

Job description

Safelite AutoGlass seeks an AVP, Data Engineering and AI Innovation to lead enterprise data strategy, modernize the platform, and champion AI-enabled analytics. You will build high-performing teams and partner with supply chain, field operations, and finance to deliver trusted data assets and governance.

Executive leader with 10+ years in data roles and 7–9 years in leadership will drive self-service analytics and enterprise data management at scale, ensuring data quality and security across the

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