Engineering Manager

Takes ownership and responsibility for the support the design, build, test and maintain data pipelines at big data scale. Leads a team responsible for modeling and development to support operations initiatives, strategic programs and new products and solutions. Strong background and experience in the use of advanced descriptive, diagnostic, predictive, prescriptive and ensemble modeling, advanced statistical techniques, and complex mathematical tools. Uses expertise to lead a team that initiates and delivers projects and develops end-to-end solutions that drive business results, including proofs-of-value for new business problems and production-ready solutions for operations and customer-facing products. Understands and ensures development of solutions supporting the movement of data and information assets following API-First / Service-Oriented Architecture principles. Advances Dataworks’ broad capabilities to use and deploy cutting edge data science and machine learning tools in Dataworks projects, platforms and products. Provides expert consultation and thought leadership to senior management. Mentors other team members to drive results and effectively collaborates with cross-functional teams to deliver business goals. About the Role: This is a “manager-doer” role, where familiarity with the details of the work and the tech stack will be essential given the likelihood of being deeply involved in code, design, architectural reviews, and deployment. The ideal candidate will demonstrate a high degree of personal accountability, be value-driven, consistently exhibit a bias to action, demonstrate clarity under conditions of uncertainty and change, and possess a strong sense of outcome orientation! Responsibilities: Lead a team responsible for designing, developing, and maintaining all application software and data pipelines for real-time/batch analysis, modeling, reporting, and data collection, ensuring data reliability, efficiency, and quality. Collaborate effectively with other groups in FedEx Dataworks including Data Science, E-Commerce Products, Supply Chain Solutions, and Platform Engineering to deliver high value platform enhancing capabilities and customer centered solutions. Ensure delivery teams build, deploy, and maintain data processing infrastructure that supports complex analysis across data science, product, application development and strategic teams. Evaluate and implement best practices such as API-First/Service-Oriented Architecture principles, tools and processes for web-based application software, APIs, data access and analysis, including large data sets. Ensure adherence to best practices to ensure reliability, resiliency, security, privacy, and compliance for all data assets. Coach and mentor other team members to drive results and effectively collaborates across cross-functional teams to deliver business goals. Other Skills Considered a Plus: Expertise in software development in the e-commerce and/or supply chain domain Compelling track record of designing and deploying large scale technical solutions that deliver tangible, ongoing value Strong background and experience in the use of advanced descriptive, diagnostic, predictive, prescriptive and ensemble modeling, advanced statistical techniques, and complex mathematical tools Ability to context-switch to provide support to dispersed teams to unblock especially challenging technical obstacles, and to work through problems as they are still being defined A design mindset embracing ambiguity combined with an engineering mindset willing to make rapid, pragmatic decisions to improve performance and accelerate progress. Experience in the transportation industry and understanding of evolving technology. Familiarity with analyzing large-scale structured and unstructured data using Scala and Python. Experience working in Big Data technologies like Spark, Kafka, etc., with a solid understanding of best practices. Development experience within Cloud technologies like Microsoft Azure or Google Cloud platform. Minimum Qualifications: 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. Seven (7) years 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. Extensive knowledge in Information Systems including design, development and implementation of large batch or online transaction-based systems. Strong understanding of the transportation industry, competitors, and evolving technologies. Experience providing leadership in a general planning or consulting setting. Experience as a leader or a senior member of multi-function project teams. Strong oral and written communication skills. A related advanced degree may offset the related experience requirements. Domicile Information: This position can be domiciled anywhere in the United States. The ability to work remotely within the United States may be available based on business need. Application Criteria: Upload current copy of Resume (Microsoft Word or PDF format only) and answer job screening questionnaire by 5 pm Central Time May 1st.. Born out of FedEx, a pioneer that ships nearly 20 million packages a day and manages endless threads of information, FedEx Dataworks is an organization rooted in connecting the physical and digital sides of our network to meet today's needs and address tomorrow's challenges. We are creating opportunities for FedEx, our customers, and the world at large by: Exploring and harnessing data to define and solve true problems; Removing barriers between data sets to create new avenues of insight; Building and iterating on solutions that generate value; Acting as a change agent to advance curiosity and performance. At FedEx Dataworks, we are making supply chains work smarter for everyone. Dataworks does not discriminate against qualified individuals with disabilities in regard to job application procedures, hiring, and other terms and conditions of employment. Further, Dataworks is prepared to make reasonable accommodations for the known physical or mental limitations of an otherwise qualified applicant or employee to enable the applicant or employee to be considered for the desired position, to perform the essential functions of the position in question, or to enjoy equal benefits and privileges of employment as are enjoyed by other similarly situated employees without disabilities, unless the accommodation will impose an undue hardship. If a reasonable accommodation is needed, please contact [email protected].