Manager, Engineering (Data and AI Architecture) - FedEx Corporation

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.

As the Manager Engineering - Data and AI Architecture, you will be responsible for leading the architecture, and implementation of the organization's data and AI strategy. You will work closely with executive leadership, business architects, data scientists, platform engineers, software engineers and other stakeholders to ensure that Data and AI initiatives are accelerating FedEx towards a smarter supply chain. This role requires deep expertise in data architecture, AI technologies, and cloud native as well as legacy systems. The successful candidate will have a strong platform and product engineering mindset with accompanying experience in data governance, compliance, and operational excellence.

Job Description / Responsibilities 

Architectural Design: 

• Identify and implement the optimal data and AI architecture, leveraging both open-source and commercial tools. 
• Drive the modernization of 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. 
• 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. 

Team Management: 

• Lead and mentor a team of data architects, data scientists, and other engineering professionals. 
• Foster a culture of innovation and collaboration within the data and AI team. 
• Lead cross-functional teams in creating reusable data and AI services that can be leveraged across the enterprise, fostering a product engineering mindset within the data and AI organization.  

Technology Partnerships: 

• Evaluate and select appropriate data and AI technologies and platforms. 
• Manage 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: 

• Develop and implement data governance policies and procedures. 
• Prioritize ethical AI implementation by safeguarding against security threats and ensuring transparency and accountability. 
• Champion best practices for data security, governance, and compliance, ensuring adherence to both internal policies and external regulatory standards. 

Skills / Abilities

• Technologies: 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.).  
• Cloud Expertise: Strong experience with Azure cloud-based data architectures, including data storage, processing, and AI integration.  
• On-Prem Expertise: Proven experience modernizing legacy data systems such as JMS, DB2 and Oracle, with a focus on transitioning to cloud-native data platforms.  
• AI/ML Integration: Deep knowledge of integrating AI models into existing data infrastructures and deploying them across hybrid environments.  
• Data Governance and Security: Expertise in data governance, ensuring compliance with regulatory standards and implementing robust security practices across both cloud and on-prem environments.  
• DevOps for Data: Experience integrating DevOps practices into data pipelines, ensuring automation, efficiency, and continuous delivery of data-driven solutions.  

Minimum Education

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.

Minimum 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.

Knowledge, Skills and Abilities

Preferred Qualifications:

Pay Transparency: This compensation range is provided as a reasonable estimate of the current starting salary range for this role across all potential locations. If this opportunity includes multiple job levels, the range is a reasonable estimate of the currentstarting salary for the lowest level to the current starting salary of the highest level. Actual starting pay would be determined by experience relative to the job, market level, pay at the location for this job and other job-related factorspermitted by law. An employee may be eligible for additional pay, premiums, or bonus potential. The Company offers eligible employees health, vision and dental insurance, retirement, and tuition reimbursement.

Pay: U.S Pay Range: $11,280.00 - 16,920.00 (Monthly)

Additional Details: Application Criteria: Upload a current copy of Resume (Microsoft Word or PDF format only) and answer job screening questionnaire by 5 PM CT on December 23rd, 2024.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Reasonable accommodations are available for qualified individuals with disabilities throughout the application process. Applicants who require reasonable accommodations in the application or hiring process should contact recruitmentsupport@fedex.com.

Applicants have rights under Federal Employment Laws:

• Equal Employment Opportunity is the Law
• EEO is the Law Supplement
• Pay Transparency Policy
• Family and Medical Leave Act (FMLA)
• Employee Polygraph Protection Act

E-Verify Program Participant: Federal Express Corporation participates in the Department of Homeland Security U.S. Citizenship and Immigration Services' E-Verify program (For U.S. applicants and employees only). Please click below to learn more about the E-Verify program:

• E-Verify Notice (bilingual)
• Right to Work Notice (English) / (Spanish)