Director, Data Engineering & Analytics (Unfilled)

O'Reilly Auto Parts - Springfield, MO

Full-time - Senior

Springfield, MO

Motor Vehicle and Parts Dealers

About the position

The Director of Data Engineering & Analytics is responsible for leading the strategic execution of data initiatives at O'Reilly, focusing on leveraging data as a governed asset. This role encompasses overseeing data engineering, business intelligence, enterprise data warehousing, and analytics, while collaborating with various business areas to deliver comprehensive data solutions. The Director will establish a strong engineering discipline, manage a diverse team, and drive the implementation of key technology and architecture decisions across the data platform ecosystem.

Responsibilities

• Provide strong leadership and vision for the organization's data platform and analytics initiatives.
• Demonstrate knowledge of data warehouse principles, analytics, and reporting.
• Build and lead high-performing teams in data engineering and analytics.
• Encourage teamwork and knowledge sharing across departments and countries.
• Establish engineering best practices, emphasizing data quality and governance.
• Manage projects to deliver data solutions on time and within budget.
• Foster a data-driven culture and promote data literacy throughout the organization.
• Create a comprehensive business intelligence and analytics strategy aligned with business goals.
• Design and implement scalable data infrastructure to support international operations.
• Provide technical guidance and mentorship to the data engineering and analytics team.
• Develop change management plans to drive adoption of new data solutions.
• Implement data governance framework to manage data access and compliance.

Requirements

• Bachelor's Degree in Computer Science, Information Technology, or Engineering.
• 10+ years of experience in data warehouse, data migration, data engineering, and analytics.
• 6+ years of successful data engineering or analytics team management experience.
• 5+ years managing a team of data analysts/engineers/scientists.
• 3+ years managing a team of architect/principal/staff/lead level team members.
• Deep understanding of SQL and related databases.
• Experience with cloud data warehouse platforms and data streaming tools.
• Strong understanding of data architecture and design principles.
• Experience with data visualization and BI tools like Tableau, Looker, Domo.

Nice-to-haves

• Advanced degree in Computer Science, Information Technology, or related field.
• Domain experience in retail and the auto parts industry.
• Experience with medallion architecture/data tiers.
• Knowledge of advanced analytics and machine learning techniques.
• Hands-on experience with GCP, AWS, or Azure cloud platforms.

Benefits

• Health insurance
• 401k plan
• Paid holidays
• Flexible scheduling
• Professional development opportunities