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Manager, Engineering

FedEx

FedEx

Software Engineering
Memphis, TN, USA
Posted on Jul 11, 2024

Description

About FedEx Dataworks:

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.

Summary:

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.

Job Description:

We are actively seeking a highly skilled and motivated Data Engineering Manager to lead our dynamic teams in developing and managing robust data solutions that support FedEx's Sustainability and ESG initiatives. The ideal candidate will have a strong background in data engineering, a passion for sustainability, and the ability to collaborate with cross-functional teams to drive our ESG data strategy. The Data Engineering Manager will be responsible for end-to-end solution design, development, and execution. Passionate about managing multiple data driven initiatives in the supply chain, e-commerce, operations optimization, and network optimization spaces. They will lead a team of data engineers that identify and deliver value for highly complex data-driven initiatives. Applies intuitive and professional understanding of industry-relevant Data Science, Analytics and Machine Learning Technology and frameworks to build innovative solutions leveraging the latest advancements in cloud computing. Works closely in collaboration with other functional areas such as decision science, product design, and other enterprise teams/business partners.

This is a “manager and doer” role, where familiarity with the details of the work and the tech stack will be essential. Likelihood of being deeply involved in code, design, data/business architectural reviews, and deployment. The ideal candidate will demonstrate a high degree of personal accountability, value-driven, consistently exhibit a bias to action, demonstrate clarity under conditions of uncertainty and change, and possess a strong sense of outcome orientation!

Job Description/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.

  • Ensure data accuracy, integrity, and security in all ESG-related data processes.

  • Develop and implement strategies for data collection, storage, and analysis to support ESG reporting and decision-making.

  • Stay up-to-date with industry trends and best practices in ESG data management and integrate them into our data engineering processes.

  • Work closely with the sustainability team to align data engineering efforts with the company’s ESG goals and initiatives.

  • 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.

  • Manage project timelines, resources, and budgets to ensure successful project delivery.

  • Communicate effectively with senior management and other stakeholders to provide updates on project progress and key metrics

Skills/Abilities:

  • Proven experience in data engineering, with a focus on ESG or sustainability data preferred.

  • Familiarity with ESG frameworks, standards, and reporting requirements· Compelling track record of designing and deploying large scale technical solutions that deliver tangible, ongoing value

  • Strong background and experience in the use of sophisticated 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.

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 salary information represents the job level minimum and the job level maximum. 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 factors permitted 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: Annual Range $135,360 - $203,040

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 July 15, 2024.

EEO Statement - FedEx Dataworks is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, genetics disability, or protected Veteran status. 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 DataworksTalentAcquisition@corp.ds.fedex.com


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:

Pay:

Additional Details:


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 DataworksTalentAcquisition@corp.ds.fedex.com.