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