Manager, Data Engineering & Analytics - Remote Position

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Job Description:

The Manager of Data Engineering & Analytics (Lead Data Engineer) role is organizationally under Finance & Accounting, within the Decision Support Tower. Particularly, this role will report into the Business Intelligence & Advanced Analytics space. The ideal candidate will possess a robust background in data engineering, showcasing expertise in cloud technologies, data architecture, data modeling, data integration data pipeline development.

Candidates should possess solid familiarity with data science best practices, machine learning algorithms and languages, and data visualization. The ideal candidate will increase awareness about available data and democratize access to it across the company.

As a data engineering manager, the ideal candidate will possess key technical expertise in building data assets, as well as driving a strong vision for how data engineering can proactively create a positive impact on the business. This role will enable exploration and access for analytics, visualization, machine learning, and data product development efforts across Finance.

This position will work directly with the lead data engineer and team of data scientists. The ideal candidate will connect the dots between the development environment and the project solutioning environment.

The development environment will include:

• 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.
• Integration of data from various data sources, both internal and external.
• Extract, transform, load (ETL), data conversions, and facilitates data cleansing and enrichment.
• This position contributes to and supports synthesizing disparate data sources to create reusable and reproducible data assets.

The project solutioning environment will include:

• Lead and manage projects within the department and support leadership by planning and championing the execution of broad advanced analytics initiatives aimed at delivering value to internal and external stakeholders.
• Support the data science community working through analytical model feature tuning. 
• 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.
• Empower the business by creating value through the increased adoption of data, data science and business intelligence landscape

RESPONSIBILITIES 

• Management of Data Engineering: Evolve the architectural capabilities and maturity of the data platform by engaging with enterprise architects and strategic internal and external partners. Proactively drive impact and engagement while bringing others along. Define how we instrument, prioritize, and store data that powers AI/ML solutions
• Analytics: Apply expertise in data model development, data analytics, and data visualization tools to introduce innovative ways to answer critical business questions efficiently and effectively. Guide the team to organize the data for reporting, analytics, and data mining. 
• Data Development Lifecycle: 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. Develop and optimize procedures to productionalize datasets, data models, and data science models.
• Cross-Collaboration: 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. Recommend analytic reporting tools/technologies and leads adoption of emerging technology products and tools. 

Required Qualifications:  

• Minimum 4-5 years of experience in hands-on execution of data transformation programs, showcasing expertise in navigating data landscapes, implementing innovative solutions, and driving tangible business outcomes.
• Strong understanding of data life cycle stages - data collection, transformation, analysis, storing the data securely, and providing data accessibility.
• Advanced experience in data environments 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.
• Minimum 3-4 years of 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.
• Minimum 1-2 years of management experience, leading teams and projects, both directly and indirectly.
• Strong experience in Cloud services platform tech stack (Preferred experience in Google Cloud Platform, Google BigQuery, Vertex AI, Gemini AI) and all the data life cycle stages.
• Coding expertise in SQL, BigQuery SQL, Python, and R.
• A Bachelor’s degree in MIS, mathematics, statistics, or computer science, international equivalent, or equivalent job experience.
• Familiarity with data modeling and data visualization tools (Power BI, SAS, Looker, Alteryx, and similar tools)
• 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
• A Bachelor’s degree in MIS, mathematics, statistics, or computer science, international equivalent, or equivalent job experience. 

Preferred Qualifications:

• 1-2 years of experience with Google Cloud Platform (GCP) including Google BigQuery, BQ Machine Learning, Vertex AI, and Looker.
• Expert SQL coder
• Strong understanding of data interconnections between operational and business functions. Ability to connect the dots between the technical landscape and business landscape.
• Hands-on experience with data modeling and data visualization tools (Power BI, SAS, Looker, Alteryx, and similar tools)
• Healthy level of curiosity, desire to experiment, and willingness to challenge the status quo and ask the hard questions.
• A Master’s degree in MIS, mathematics, statistics, computer science, analytics, data science, international equivalent, or equivalent job experience.

Additional Information:

• Job Grade: 30G
• UPS will not provide sponsorship for this position

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.

Employee Type:

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

Other Criteria:

UPS is an equal opportunity employer. UPS does not discriminate on the basis of race/color/religion/sex/national origin/veteran/disability/age/sexual orientation/gender identity or any other characteristic protected by law.

Basic Qualifications:

Must be a U.S. Citizen or National of the U.S., an alien lawfully admitted for permanent residence, or an alien authorized to work in the U.S. for this employer.