Experienced Manager of Engineering - Data and AI Architecture for Cloud-Native Solutions

Transforming the Future of Supply Chain with Cutting-Edge Data and AI Solutions At FedEx, we're on a mission to revolutionize the world of logistics and supply chain management. As a leader in the industry, we're committed to harnessing the power of data and artificial intelligence (AI) to drive innovation and efficiency. Our Dataworks team is at the forefront of this effort, and we're seeking a seasoned Manager of Engineering to lead our data and AI architecture initiatives. In this pivotal role, you'll have the opportunity to work closely with executive leadership, business architects, data scientists, platform engineers, and software engineers to shape the future of our data and AI strategy. As a seasoned technical leader, you'll be responsible for architecting and implementing cutting-edge data and AI solutions that accelerate FedEx towards a smarter supply chain. Key Responsibilities Architectural Design Design and implement optimal data and AI architectures, leveraging both open-source and commercial tools to drive business outcomes. Lead the modernization of our platform, data, and application data architectures, transitioning legacy systems to scalable and reliable cloud-native solutions while maintaining business continuity and performance. Ensure the security, reliability, and maintainability of our data and AI infrastructure, safeguarding against security threats and ensuring transparency and accountability. Translate complex technical concepts into actionable insights for senior leadership, ensuring data and AI strategies support broader organizational goals. Stay up-to-date on the latest data and AI technologies and best practices, driving innovation and thought leadership within the organization. Team Management Lead and mentor a team of data architects, data scientists, and other engineering professionals, fostering a culture of innovation and collaboration. Lead cross-functional teams in creating reusable data and AI services that can be leveraged across the enterprise, driving a product engineering mindset within the data and AI organization. Develop and implement data governance policies and procedures, ensuring compliance with regulatory standards and implementing robust security practices. Technology Partnerships Evaluate and select appropriate data and AI technologies and platforms, managing relationships with technology partners and vendors. Collaborate with business stakeholders to ensure data-driven solutions are aligned with business priorities and drive measurable outcomes. Data Governance Champion best practices for data security, governance, and compliance, ensuring adherence to both internal policies and external regulatory standards. Prioritize ethical AI implementation, safeguarding against security threats and ensuring transparency and accountability. Essential Qualifications To succeed in this role, you'll need: A Bachelor's Degree in Information Systems, Computer Science, or a quantitative discipline such as Mathematics or Engineering, and/or equivalent formal training or work experience. A minimum of 7 years of equivalent work experience in measurement and analysis, quantitative business problem-solving, simulation development, and/or predictive analytics. Extensive knowledge in data engineering and machine learning frameworks, including design, development, and implementation of highly complex systems and data pipelines. Strong understanding of the transportation industry, competitors, and evolving technologies. Experience providing leadership in a general planning or consulting setting, with strong oral and written communication skills. Preferred Qualifications To stand out in this role, you'll ideally have: Expertise in Azure services, Databricks, relational databases, document stores, key-value stores, streaming and messaging systems, Lakehouse architecture, data warehouses, ETL pipelines, and AI/ML frameworks (e.g., TensorFlow, PyTorch, etc.). Strong experience with Azure cloud-based data architectures, including data storage, processing, and AI integration. Proven experience modernizing legacy data systems such as JMS, DB2, and Oracle, with a focus on transitioning to cloud-native data platforms. Deep knowledge of integrating AI models into existing data infrastructures and deploying them across hybrid environments. Experience integrating DevOps practices into data pipelines, ensuring automation, efficiency, and continuous delivery of data-driven solutions. What We Offer At FedEx, we're committed to providing a comprehensive benefits package that supports your overall well-being and career growth. Our benefits include: A competitive salary and bonus structure. Health, vision, and dental insurance. Retirement savings plans. Tuition reimbursement. Opportunities for career advancement and professional growth. Our company culture is built on a foundation of diversity, equity, and inclusion. We value diverse perspectives and experiences, and we're committed to creating an inclusive work environment that supports the success of all employees. Why Join Us? By joining our team, you'll have the opportunity to: Work on cutting-edge data and AI projects that drive business innovation and efficiency. Collaborate with a talented team of professionals who are passionate about data and AI. Develop your skills and expertise in a rapidly evolving field. Make a meaningful impact on the future of supply chain management. Ready to Apply? If you're a motivated and experienced technical leader with a passion for data and AI, we encourage you to apply for this exciting opportunity. Please submit your resume and answer our job screening questionnaire by 5 PM CT on December 1st, 2024. At FedEx, we're committed to equal employment opportunity and welcome applications from diverse candidates. We offer reasonable accommodations for qualified individuals with disabilities throughout the application process. Don't miss this chance to join our team and shape the future of supply chain management. Apply now and take the first step towards a rewarding and challenging career! Apply for this job