Safelite
AVP, Data Engineering and AI Innovation
COLUMBUS, OH
Sponsorship not specifiedDetected 3 hours ago
GitSQLBigQuerySnowflakeDatabricksAWSMachine LearningdbtData EngineeringData ScienceData VisualizationLLMsSAPSupply ChainERPLeadershipCommunicationCollaboration
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16Unrated
Cap-exempt (no lottery)0
Sponsors this role0
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
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About the role
- You should apply - even if you don't match every single requirement!
- But beyond the glass, we're so much more.
- Let us be the best place you'll ever work.
Responsibilities
- 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.
- 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
- We'll help you build a fulfilling career and encourage you to have a life.
- 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.
Requirements
- Bachelor's Degree in computer science, analytics, engineering, or related field Required
- 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
- 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)
- Excellent collaboration and communication skills to convey complex data insights to non-technical stakeholders and align initiatives with business goals. (High proficiency)
- Working knowledge of engineering-led BI semantic layers and script-based transformation tools (e.g., dbt, AWS Glue, Talend). (High proficiency)
- Experience applying AI/ML and agentic or generative AI approaches to automate data delivery, quality, and insight generation. (Medium proficiency)
Nice to have
- Master's Degree in computer science, analytics, engineering, business administration, or related field Preferred
Skills
- 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)
- Experience with large enterprise legacy tooling (e.g., mainframe, Informatica, Oracle Business Intelligence, Cognos). (Medium proficiency)
Benefits
- Education Qualifications
- Ability to set strategic vision and drive multi-year data and AI roadmaps aligned with business goals and enterprise strategy. (High proficiency)
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This listing is sourced directly from Safelite's careers page and normalized into a canonical job model.