Description

Our Marketing and Loyalty team is the strategic force behind United’s industry-leading brand and experience, supporting revenue growth by turning customers into lifelong United flyers. Our marketing communications, market research and brand teams drive travelers’ familiarity and engagement with the United brand. Our product, design and service teams bring the signature United brand to life in our clubs and onboard our aircraft, ensuring a seamless, premier experience. And when customers choose United again and again, that’s because the loyalty team has been hard at work crafting an award-winning program. Our loyalty team manages United MileagePlus®, building travel and lifestyle partnerships that customers can engage with every day, and works with our Star Alliance partners to ensure United can take you anywhere you want to go.

Job overview and responsibilities

Exciting opportunity to be a part of a brand new best-in-class data science & analytics team from the world’s best and largest airline. An entrepreneurial and meticulous Senior Data Engineering / Machine Learning Ops Manager who oversees the development of data for measurement and reporting across United’s digital media.

• Responsible for the overall design, development, and implementation of data engineering / ML solutions

• Manage team of data engineers to execute data product roadmap and build reliable data infrastructure and pipelines (ingestion, integration, ETL, real-time connectors) to support measurement and reporting across AdTech products

• Ensure connections with relevant endpoints for data ingestion are built and operate properly

• Collaborate with data scientists, analysts, and other stakeholders to ensure business needs are translated to data needs and requirements

• Manage vertically to ensure clear lines of communication to ensure that stakeholders organization wide are aware of key data and ML developments

• Continuously push ML team to drive value add insights derived from data

• Stay up to date with emerging technologies and best practices in data engineering

United values diverse experiences, perspectives, and we encourage everyone who meets the minimum qualifications to apply. While having the “desired” qualifications make for a stronger candidate, we encourage applicants who may not feel they check ALL of those boxes! We are always looking for individuals who will bring something new to the table!

Qualifications

What’s needed to succeed (Minimum Qualifications):

• Bachelor’s degree in Computer Science, Engineering, Applied Mathematics or a related field

• 5+ years hands-on industry experience in Data Engineering or Machine Learning (or equivalent quantitative job title) with increasing managerial responsibilities

• Profound technical acumen in machine learning, with practical coding skills in Python, Java, and R.

• Experience with ML frameworksand libraries (TensorFlow, Pytorch, Keras, Scikit-Learn, Spark MLib, Langchain etc.), coupled with a solid understanding of data structures, modeling, and software architecture.

• Deep technical knowledge of data engineering and comfort interpreting complex reports

• Strong collaborator with cross-functional teams from tech, design, and business and experience leading teams in an agile setting

• Ability to translate complex business needs to actionable tasks for ML team

• Familiarity with data visualization tools (Power BI, Tableau)

• Ability to communicate and explain data and its implications to various senior stakeholders

• Ability to evaluate different options proactively and to solve problems in an innovative way, developing

• New solutions or combining existing methods to create new approaches

• Must be legally authorized to work in the United States for any employer without sponsorship

• Successful completion of interview required to meet job qualification

• Reliable, punctual attendance is an essential function of the position

What will help you propel from the pack (Preferred Qualifications):

• Advanced Computer Engineering degree

• Experience with AdTech / advertising technology, particularly in designing solutions that enhance ad targeting, measurement, and optimization.

• Familiarity or hands-on experience with generative AI and large language models, understanding their potential impact on machine learning and ad tech innovations.

United Airlines is an equal opportunity employer. United Airlines recruits, employs, trains, compensates and promotes regardless of race, religion, color, national origin, gender identity, sexual orientation, physical ability, age, veteran status and other protected status as required by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions. Please contact JobAccommodations@united.com to request accommodation.

Equal Opportunity Employer - Minorities/Women/Veterans/Disabled/LGBT