Director of Data Solutions

Does this position interest you? You should apply – even if you don’t match every single requirement! We're known as an auto glass company. That's the focus of what we do. But beyond the glass, we're so much more. We'll help you build a fulfilling career and encourage you to have a life. Let us be the best place you'll ever work.

Does this position interest you? You should apply – even if you don’t match every single requirement! We're known as an auto glass company. That's the focus of what we do. But beyond the glass, we're so much more. We'll help you build a fulfilling career and encourage you to have a life. Let us be the best place you'll ever work.

A Brief Overview

The Director of Data Solutions will lead the IT Analytics Engineering and Data Science teams to develop, maintain, and evolve Safelite's comprehensive data warehouse infrastructure and enterprise-facing data solutions. This position will ensure data from key systems is secure, available, and modeled effectively to meet the operational and strategic needs of the company; manage a high-performing team of data experts, creating opportunities to enhance their skill sets; and drive the development of advanced data science models and analytics solutions to unlock key business initiatives. The expected result is a robust, reliable, and scalable self-service data environment that supports data-driven decision-making throughout the organization.

What you will do

• Guide the team through hands-on instruction in implementing and optimizing warehouse builds, workflow orchestration, and asset deployment infrastructure to streamline analytics engineering processes, accelerate speed to deployment, improve monitoring and alerting, and decrease downtime.

• Manage and mentor a team of analytics engineers, data architects, and data science professionals, fostering a culture of continuous improvement and technical excellence.

• Provide technical leadership and strategic vision to guide the decommissioning of legacy data pipelines and transition to forward-looking cloud technologies, ensuring a streamlined and efficient migration process that minimizes disruption and maximizes operational efficiency.

• Provide strategic guidance and build cohesiveness among data scientists and analytics engineering teams to create a robust engine for delivering data warehouse enhancements that feed data science and machine learning models.

• Lead the team in analyzing customer behavior, pricing, and conversion patterns to make actionable recommendations using statistical models, data mining, and machine learning algorithms.

• Guide the build-out of requisite tooling (e.g., dbt, Git) and a corresponding training curriculum to empower embedded advanced analysts throughout the organization to contribute to the enterprise data warehouse in a controlled and governed fashion.

• Collaborate with Data Engineering to build out the company's BI infrastructure and strategy, enhancing governance through semantic layer implementation to ensure a single source of truth and scaled updating and version control for BI assets throughout the organization.

• Collaborate with peers and leaders throughout the engineering organization to move toward a proactive, repeatable process for monitoring and integrating source system changes into downstream data pipelines and reporting assets.

• Establish and maintain deployment infrastructure for machine learning assets, ensuring robust, scalable, and efficient deployment pipelines that support the operationalization of machine learning models across the organization.

• Manage costs associated with running data infrastructure and operations.

• 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

Experience Qualifications

• 10+ years hands on experience in a data engineering, data science, or analytics related role Required

• 4-6 years in a data leadership role, which involved creating and implementing a comprehensive data strategy; experience building and managing data engineering organizations. Required

Skills and Abilities

• Deep knowledge and experience with advanced SQL concepts, including window functions, CTEs, nested queries, and other similar techniques. (High proficiency)

• 7+ years of hands-on experience with cloud data warehouses (e.g., Snowflake, Redshift, BigQuery) and relational databases. (High proficiency)

• Strong collaboration skills to work with cross-functional teams, intuit data needs from warehouse modeling to insights delivery, and integrate solutions into business processes. (High proficiency)

• Ability to align data science and analytics engineering initiatives with business goals and drive strategic decision-making. (High proficiency)

• Excellent communication skills to convey complex data insights to non-technical stakeholders. (High proficiency)

• Ability to provide strategic guidance and build cohesiveness among data scientists, data architects, and analytics engineers. (High proficiency)

• Experience with Python or a similar programming language, Tableau or an equivalent BI visualization tool, and Excel. (High proficiency)

• Ability to collaborate through code-management/version control tools like GitHub Enterprise (for peer reviews, feature branches, resolving conflicts, and commits). (High proficiency)

• Prior experience with large enterprise legacy tooling (e.g., mainframe, Informatica, Oracle Business Intelligence, Cognos). (Medium proficiency)

• Exposure to data pipeline and workflow management tools (e.g., Airflow, Dagster). (Medium proficiency)

• Experience with script-based analytics transformation tools (e.g., dbt, AWS Glue, Talend). (Medium proficiency)

• Understanding of multi-step ETL and ELT jobs/data pipelines and experience working with job scheduling systems, with the ability to reverse engineer and refactor existing technical projects. (Medium proficiency)

Our people are passionate about what they do, the product they sell, and the customers they serve. If you're looking for an opportunity to be a part of a work family that values collaboration, innovation and dedication, we're the right company for you.

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Internal Associates: Already a member of the Safelite team? Apply through your Workday account by searching 'Find Open Jobs'.
Diversity: Safelite welcomes everyone. We value our diverse workforce and suppliers, and we’re proud to be an equal opportunity employer. Learn more at Safelite.com/Careers.

Benefit amounts are estimates only. Actual values will depend on benefit elections during enrollment.

This position description is not all inclusive for every aspect of this role. Reasonable accommodation will be made for individuals covered by ADA, ADEA, FMLA and other laws and regulations in accordance with their requirements. Physical and mental demands are not and should not be construed to be job qualification standards, but are illustrated to help the employer, employee and/or applicant identify tasks where reasonable accommodations may need to be made when an otherwise qualified person is unable to perform the job's essential duties because of an ADA disability. Other qualifications may be required to ensure employment eligibility in accordance with local laws and regulations and with Safelite Group, Inc. policies and practices.

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