Data Engineering Managers (ESG & Commercial)

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.

Position 1: Manager, Data Engineering (ESG)

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 Environmental, Social, Governance (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 Sustainability and ESG data strategy. The Data Engineering Manager will be responsible for end-to-end solution design, development, and execution, while ensuring compliance with relevant regulations. They are passionate about leading multiple data driven initiatives in the supply chain and have a strong understanding of risk management practices and compliance audit processes. 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. Also collaborate with the compliance teams to design and maintain robust controls and risk mitigation strategies.

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!

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.

Position 2: Manager, Data Engineer (Commercial)

Job Description:

We are seeking a dynamic and innovative Manager of Data Engineering to lead the development and operation of advanced data and AI platforms that drive our commercial organization's success. This role will focus on delivering scalable and high-performance data and AI solutions to support Sales, Marketing, Customer Experience, and Revenue management teams. The ideal candidate will have a strong background in data engineering, AI/ML, and experience leading cross-functional teams to create impactful business outcomes. They will have a strong Understanding of commercial processes and how data and AI can be leveraged to drive business value. The Data Engineering Manager will be responsible for end-to-end solution design, development, and execution. Passionate about managing multiple data driven initiatives and has the proven ability to lead and inspire technical teams, with a focus on delivering results in a fast-paced environment. 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.

Skills/Abilities: Same as above ESG manager role

Domicile/Relocation 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 needs.

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 current? ?starting 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 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?

Additional Details: ?Application Criteria: Upload current copy of Resume (Microsoft Word or PDF format only) and answer job screening questionnaire by 5pm Central Time on 12/1/2024.?

FedEx Dataworks is an Equal Opportunity/Affirmative Action employer. 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.

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].

Apply Job!