IT Director - Data management

Strategic data and architecture leader who can work closely with data stakeholders and product delivery teams to drive the strategic vision for data analytics and technology architecture.

• Provide visionary leadership and mentorship to a multidisciplinary team of data architects, data engineers, integration engineers, and enterprise architects.
• Oversee the review and analysis of complex data and technology requirements, guiding the prioritization and scoping of user stories to ensure alignment with stakeholder expectations and organizational capabilities.
• Drive the end-to-end development, testing, and implementation of data and technology solutions, ensuring timely delivery and adherence to agreed-upon commitments.
• Champion the exploration and adoption of emerging technologies and industry best practices to continuously advance AutoZone’s technology, data and analytics capabilities.
• Lead the design and architecture of data and analytics solutions across project, product, and program levels, ensuring technical excellence and scalability.
• Facilitate and contribute to both strategic and tactical technology discussions with executive stakeholders, vendors, and customers.
• Foster consensus among stakeholders by providing clear technical leadership on strategy, vision, and implementation approaches.
• Manage and monitor funding approvals and budget expenditures to support data and technology initiatives.
• Ensure all solutions and features are designed and implemented in accordance with established architectural standards and practices, proactively facilitating trade-offs when necessary.
• Conduct proactive capacity planning and monitoring of the data and analytics ecosystem to support and anticipate AutoZone’s growth.
• Bachelors of Science degree required (MIS/CIS degree preferred).
• Extensive knowledge of data analytics platform concepts and implementation for a retail environment.
• Extensive working knowledge of various monitoring, operational, provisioning, performance, support environments and tools.
• 5-10 years of progressive experience in data engineering, architecture roles
• Demonstrated proficiency in data analytics, including exposure to artificial intelligence (AI) and machine learning (ML) modeling
• At least 5 years of managerial experience leading technology teams, with a proven track record of developing and nurturing technical talent.
• Hands-on experience with configuration and tuning of major cloud platform data products is required.
• Strong business acumen and financial management skills.