AVP, Data Engineering and AI Innovation

belron; Columbus (OH); On-site; USD 180,000 - 270,000; Full time

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

A Brief Overview

The AVP, Data Engineering and AI Innovation will provide executive leadership across Safelite's data engineering, data solutions, and AI data agent teams, setting and driving the strategic vision to build, modernize, and continuously evolve the enterprise data platform and centrally managed data assets. This business-facing technical leader will reimagine what self-service analytics and enterprise data asset management look like in an AI-enabled organization, ensuring the business is served with trusted, timely, and governed data and BI assets that confer actionable, data-driven outcomes. The leader will build and grow high-performing teams of data engineers, BI developers, and AI/data-agent practitioners, expanding their skill sets and building cohesiveness across the function while championing innovation, collaboration, and disciplined data quality, security, and governance. The expected result is a scalable, AI-forward data organization that empowers embedded analysts and business partners across supply chain, field operations, and finance with a single source of truth.

What you will do

• Set and drive the multi-year strategic vision and roadmap for enterprise data engineering and data solutions, reimagining self-service analytics and enterprise data asset management as AI-enabled capabilities that scale across the organization.
• Provide technical leadership to continually modernize the data platform, finalizing the decommissioning of legacy data integrations and technologies.
• Lead the transition to new data assets and ways of working through effective change management and sustained stakeholder engagement.
• Build, manage, and develop high-performing teams of data and analytics engineers, growing their skill sets and forging cohesiveness into a robust engine for delivering trusted data.
• Reimagine the role of the data warehouse in embedded-analyst self-service, creating governed, intuitive assets and a single source of truth that empower embedded analysts and business users across the enterprise to work responsibly within AI-native tooling.
• Champion AI innovation, piloting and scaling AI/ML and agentic capabilities (e.g., data agents) that automate data delivery, data quality, and insight generation.
• Own enterprise data asset management and contributions to the engineering-led semantic layer to enable scalable, governed reporting across the enterprise.
• Partner with business stakeholders across supply chain, field operations, and finance to translate needs into data-driven solutions while upholding data quality, security, and governance standards.
• Act as a trusted advisor to executive leadership, providing strategic recommendations that drive competitive
• Performs other duties as assigned
• Complies with all policies and standards

Education Qualifications

• Bachelor's Degree in computer science, analytics, engineering, or related field Required
• Master's Degree in computer science, analytics, engineering, business administration, or related field Preferred

Experience Qualifications

• 10+ years hands-on experience in data engineering, data science, business intelligence, or analytics Required
• 7-9 years in a data leadership role, which involved creating and implementing a comprehensive data strategy and building and managing data engineering and/or BI organizations Required

Skills and Abilities

• Ability to set strategic vision and drive multi-year data and AI roadmaps aligned with business goals and enterprise strategy. (High proficiency)
• Proven ability to reimagine self-service analytics and enterprise data asset management to leverage emerging technology and best-in-class patterns. (High proficiency)
• Ability to provide strategic guidance and build cohesiveness among data engineers, data architects, and data analysts. (High proficiency)
• Deep knowledge and experience with advanced SQL concepts. (High proficiency)
• Hands-on experience with cloud data warehouses (e.g., Snowflake, Databricks, BigQuery) and relational databases. (High proficiency)
• Deep knowledge of Python. (High proficiency)
• Experience with Tableau, PowerBI, or an equivalent BI visualization tool, and Excel. (High proficiency)
• Excellent collaboration and communication skills to convey complex data insights to non-technical stakeholders and align initiatives with business goals. (High p