Join the Team Revolutionizing Data and AI Architecture at FedEx
FedEx is seeking an exceptional Manager, Engineering - Data and AI Architecture to lead our data and AI strategy, leveraging cutting-edge technologies to drive business growth and innovation. As a key member of our engineering team, you will be responsible for designing, building, and maintaining large-scale data pipelines, leading a team of data architects and engineers, and collaborating with cross-functional teams to deliver business-driven solutions.
About FedEx and the Industry
FedEx is a world leader in logistics and transportation, with a strong commitment to innovation and customer satisfaction. The company operates in a rapidly evolving industry, where data-driven solutions and AI technologies are crucial for staying ahead of the competition. As a Manager, Engineering - Data and AI Architecture, you will play a vital role in shaping the future of data and AI at FedEx, working closely with executive leadership, business architects, data scientists, and other stakeholders to drive business growth and transformation.
Key Responsibilities
Architectural Design
- Design and implement optimal data and AI architectures, leveraging open-source and commercial tools, to drive business growth and innovation.
- Lead 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, adhering to industry best practices and regulatory standards.
- 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, identifying opportunities for innovation and improvement.
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, promoting a product engineering mindset within the data and AI organization.
- Develop and implement effective team management strategies, ensuring alignment with business objectives and priorities.
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.
- Identify opportunities for strategic partnerships and collaborations, driving innovation and growth.
Data Governance
- Develop and implement data governance policies and procedures, ensuring compliance with regulatory standards and internal policies.
- Prioritize ethical AI implementation, safeguarding against security threats and ensuring transparency and accountability.
- Champion best practices for data security, governance, and compliance, promoting a culture of data-driven decision-making.
Requirements and Qualifications
Essential Qualifications
- Bachelor's Degree in Information Systems, Computer Science, or a quantitative discipline such as Mathematics or Engineering.
- 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.
- Strong understanding of the transportation industry, competitors, and evolving technologies.
- Experience providing leadership in a general planning or consulting setting, with a proven track record of success.
Preferred Qualifications
- Advanced degree in a related field, such as Computer Science, Information Systems, or Engineering.
- Experience with cloud-native data platforms, such as Azure, and data governance frameworks.
- Knowledge of AI/ML frameworks, such as TensorFlow, PyTorch, and scikit-learn.
- Experience with DevOps practices and tools, such as Jenkins, Docker, and Kubernetes.
Skills and Competencies
- 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.
- 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.
Career Growth Opportunities and Learning Benefits
At FedEx, we are committed to the growth and development of our employees. As a Manager, Engineering - Data and AI Architecture, you will have opportunities to:
- Lead and mentor a team of data architects and engineers, developing their skills and expertise.
- Collaborate with cross-functional teams to drive business growth and innovation.
- Stay up to date on the latest data and AI technologies and best practices, identifying opportunities for innovation and improvement.
- Develop and implement effective team management strategies, ensuring alignment with business objectives and priorities.
Work Environment and Company Culture
At FedEx, we pride ourselves on a culture of innovation, collaboration, and customer satisfaction. As a Manager, Engineering - Data and AI Architecture, you will be part of a dynamic team that is passionate about using data and AI to drive business growth and transformation. We offer:
- A remote work environment, with opportunities for flexible work arrangements.
- A competitive salary and benefits package, including health, vision, and dental insurance, retirement, and tuition reimbursement.
- A culture of innovation and collaboration, with opportunities for professional growth and development.
Compensation and Benefits
The compensation range for this role is $11,280.00 - $16,920.00 per month, depending on experience and qualifications. In addition to salary, we offer a comprehensive benefits package, including:
- Health, vision, and dental insurance.
- Retirement savings plan.
- Opportunities for bonuses and other incentives.
How to Apply
If you are a motivated individual ready to contribute to a thriving team, we encourage you to apply now! Please submit your resume and cover letter, and answer the job screening questionnaire by 5 PM CT on December 15th, 2024.
Equal Employment Opportunity
FedEx is an equal opportunity employer, committed to diversity and inclusion. We welcome applications from qualified candidates of all backgrounds and perspectives.
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