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Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow-people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level.

Job Description:

The Manager of Data Engineering role is organizationally under Finance & Accounting, within the Decision Support Tower. Particularly, this role will report into the Business Intelligence & Advanced Analytics space. This role will support advanced analytics, data science and machine learning projects and initiatives. The ideal candidate will possess a robust background in data engineering, showcasing expertise in cloud technologies, data architecture, data modeling, data pipeline development, and data governance. Candidates should also possess solid familiarity with data science best practices, machine learning algorithms and languages, and data visualization.

This position leads the development of batch and real-time data pipelines utilizing various data analytics processing frameworks in support of data science, advanced analytics, machine learning and AI practices. This position leads and participates in the integration of data from various data sources, both internal and external. This position performs extract, transform, load (ETL), data conversions, and facilitates data cleansing and enrichment. This position leads others and manages projects within the department and supports Leadership by planning and championing the execution of broad advanced analytics initiatives aimed at delivering value to internal and external stakeholders. This position contributes to and supports synthesizing disparate data sources to create reusable and reproducible data assets. This position also supports the data science community working through analytical model feature tuning.

RESPONSIBILITIES

• Leads the development and design of the data engineering projects and guides the team to build solutions by leveraging a software/application solution used for statistical modeling and analysis, data warehousing and cloud solutions, and building data pipelines.

• Provides leadership for data engineering projects and data engineering maintenance and support.

• Recommends analytic reporting tools/technologies and leads adoption of emerging technology products and tools.

• Directs integration of data for data engineering projects.

• Leads project efforts with the technology solutions to perform proof of concept (POC) analysis.

• Leads team to provide data warehousing solutions.

• Guides the team to organize the data for reporting, analytics, and data mining.

-Guides the team in building Data APIs to enable data scientists and business intelligence analysts to query the data.

• Conducts code reviews developed in programming language used for statistical analysis and modeling such as Python/R/SQL/Java/Scala/C++.

• Leads the implementation strategy and backup and recovery procedures.

• Define how we instrument, prioritize, and store data that powers AI/ML solutions

• Collaborate with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility, and fostering data-driven decision making across Finance.

• Work closely and collaborate with data scientists to share your passion for staying on top of tech trends, experimenting with and learning new technologies, and participate in internal and external technology communities.

QUALIFICATIONS

• Strong background in managing data transformation programs, showcasing expertise in navigating data landscapes, implementing innovative solutions, and driving tangible business outcomes.

• Possess experience in developing and implementing both tactical and strategic solutions, demonstrating the ability to address immediate needs while also contributing to long-term organizational goals with innovative and forward-thinking approaches. Strong understanding of the data interconnections between organizations' operational and business functions.

• Strong understanding of data life cycle stages - data collection, transformation, analysis, storing the data securely, providing data accessibility.

• Strong understanding of the data environment to ensure that it can scale for the following demands: Throughput of data, increasing data pipeline throughput, Analyzing large amounts of data, real-time predictions, insights and customer feedback, data security, data regulations, and compliance.

• Evaluates and provides guidance on analytic reporting technologies (Preferred experience in Power BI, SAS, Looker, Alyterx, and/or similiar tools)

• Strong experience in Cloud services platform tech stack (Preferred experience in Google Cloud Plaform, Google BigQuery, Vertex AI, Gemini AI) and all the data life cycle stages.

• Understanding of machine learning algorithms which help data scientists make predictions based on current and historical data.

• Knowledge of algorithms and data structures and ability to perform data filtering and data optimization. Experience with machine learning packages, such as Tensorflow and Pytorch, and have proven experience in designing / developing AI / ML models

• Bachelor's degree in MIS, mathematics, statistics, or computer science, international equivalent, or equivalent job experience.

Additional Information:

• Job Grade: 30G

• Internal posting will close on September 21st, 2024

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $116,600/year to $189,600/year. Pay is based on several factors including but not limited to, market location and may vary depending on job-related knowledge, skills, and education/training and a candidate's work experience. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance.

Hired applicants may be eligible for Medical/prescription drug coverage, Dental & Vision Benefits, Flexible Spending Account, Health Savings Account, Dependent Care Flexible Spending Account, Basic and Supplemental Life Insurance & Accidental Death and Dismemberment, Disability Income Protection Plan, Employee Assistance Program, Educational Assistance Program, 401(k) retirement program, Vacation, Paid Holidays and Personal time, Paid Sick/Family and Medical Leave time as required by law, Discounted Employee Stock Purchase Program.

This position offers an exceptional opportunity to work for a Fortune 50 industry leader. If you are selected, you will join our dynamic technology team in making a difference to our business and customers. Do you think you have what it takes? Prove it! At UPS, ambition knows no time zone.

Employee Type:

Permanent

UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.

Company: UNITED PARCEL SERVICE

Category: Info Services Management

Requisition Number: R24029375

Location: Atlanta,Georgia