Manager Air Traffic Strategy Data

The Manager of ATS Data at United Airlines is responsible for leading the technical architecture and real-time air traffic data solutions, supporting operational decision-making and enterprise applications. This role oversees data ingestion, streaming interfaces, and data processing pipelines, ensuring data standards and governance are established. Key responsibilities include monitoring data health, collaborating with business units, and representing United’s operational needs in the National Airspace System. The position requires a bachelor’s degree in Computer Science, Engineering, or related field, with at least 4 years’ experience in large cloud environments and Big Data technologies. Proficiency in Java, Scala, Python, SQL, NoSQL databases, and cloud-based data warehousing services is essential. The role is based in the United States, with up to 10% travel and a base salary range of $102,220 to $133,194. The Manager of ATS Data at United Airlines serves as the technical lead for the FAA System Wide Information Management (SWIM) data portfolio, driving the design and implementation of real-time air traffic data solutions. This role is responsible for leading the architecture of data ingestion, streaming interfaces, and data processing pipelines, while establishing data standards and governance. The position requires close collaboration with Digital Technology, Data Engineering, and Air Traffic Strategy teams to develop cloud-based solutions and APIs, and to create real-time dashboards in PowerBI. Compensation ranges from $102,220 to $133,194 per year, with eligibility for bonuses, long-term incentives, and a comprehensive benefits package including medical, dental, vision, life, and 401(k) benefits. Achieving our goals starts with supporting yours. Grow your career, access top-tier health and wellness benefits, build lasting connections with your team and our customers, and travel the world using our extensive route network.

Come join us to create what’s next. Let’s define tomorrow, together.

Description

Our Network Operations team works around the clock running United’s global operation, safely, reliably and efficiently. From dispatching and routing our fleet to coordinating with maintenance line planning and crew scheduling, this team makes caring connections with our internal customers and ultimately, United’s customers. From pushback to landing, the Network Operations team is the eyes and ears on the ground no matter where in the world your United flight takes you.

Job overview and responsibilities

The Manager of ATS Data serves as the technical lead for United's FAA System Wide Information Management (SWIM) data portfolio, responsible for designing and implementing real-time air traffic data solutions that support operational decision-making and enterprise applications.

This role leads the architecture of SWIM data ingestion, streaming interfaces, and data processing pipelines while establishing data standards, governance practices, and ensuring high-quality, scalable data products across the enterprise. The position is responsible for monitoring data health and integrity across the SWIM ecosystem, proactively identifying discrepancies and partnering across business units to resolve data quality, availability, and performance issues. Proficiency in programming languages (Java, Scala, Python, SQL) and cloud-based data warehousing services, to work closely with Digital Technology, Data Engineering, and Air Traffic Strategy teams to design cloud-based solutions and APIs while developing real-time dashboards in PowerBI.

As United's technical liaison with the FAA, this role collaborates on SWIM services, system enhancements, and emerging modernization initiatives while representing United's operational needs in the evolution of the National Airspace System. The Manager of ATS Data is an exceptional communicator with strong analytical skills who can translate complex technical concepts into business solutions, build cross-organizational relationships, and drive innovation in air traffic data architecture and data analytics.

• Collaborate with and across teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
• Utilize programming/scripting languages like Java, Scala, Python and SQL and NoSQL databases and Cloud based data warehousing services such as Redshift
• Coordinate business requirements definitions and interface, communications, leadership presentations, clarifying strategy and priorities.
• Portfolio management, coordinating with Data Engineering, Data Science, and other Digital Technologies teams to align on priorities, and tracking progress against goals.
• Act as a data subject matter expert to guide and support various enterprise teams on data centric solutions including but not limited to security, performance, reliability, maintainability and well-formed architecture.

Qualifications

What’s needed to succeed (Minimum Qualifications):

• Bachelor's degree in Computer Science, Engineering or related discipline or equivalent experience
• 4+ years of experience with large cloud environments, Big Data technologies
• Experience working on large-scale/high visibility projects
• Subject matter expert in Big Data, AWS technology
• Understanding of all aspects of data architectures, data dictionaries, and data lineages in a large-scale enterprise environment
• Demonstrable experience with distributed data warehousing and data processing systems such as Redshift
• Proficient with programming / scripting languages like Java, Scala, Python and SQL and NoSQL databases and Cloud based data warehousing services such as Redshift
• Deep knowledge of traditional data warehousing (models, practices, and processes), cloud-based data warehouses, data lakes, and data streaming
• Exceptional system design abilities, including high-scale ETL/ELT pipelines including leveraging python
• Experience with or solid understanding of data pipelines and event-driven architectures (Kinesis, Kafka)
• Proficient with AWS Cloud technologies (i.e. S3, Lambda, Dynamo, EC2), Python, Spark, and Hadoop
• Experience in Machine learning and/or predictive analytics
• Advanced knowledge of software lifecycles and testing automation
• Demonstrated ability to think critically and provide strategic insight and analysis to solve problems and make improvements
• Ability to make PowerBI dashboards
• Lead data integration and curation, including requirements definition and testing
• Ability to clearly communicate complex issues to leadership and customers
• Up to 10% travel
• 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):

• Master's degree
• 2+ years of experience in the aviation industry
• Cloudera/Hadoop Certification or AWS Developer/Big Data Analytics certification a plus
• Knowledge of FAA SWIM

The base pay range for this role is $102,220.00 to $133,194.00.
The base salary range/hourly rate listed is dependent on job-related, factors such as experience, education, and skills. This position is also eligible for bonus and/or long-term incentive compensation awards.

You may be eligible for the following competitive benefits: medical, dental, vision, life, accident & disability, parental leave, employee assistance program, commuter, paid holidays, paid time off, 401(k) and flight privileges.

United Airlines is an Equal Opportunity Employer. We recruit, employ, train, compensate, and promote without regard to race, color, religion, national origin, gender identity, sexual orientation, disability, age, veteran status, or any other protected category under applicable law. We provide reasonable accommodations for applicants and employees with disabilities. To request an accommodation, contact [Job Accommodations@united.com](mailto:Job Accommodations@united.com)

Our Network Operations team works around the clock running United’s global operation, safely, reliably and efficiently. From dispatching and routing our fleet to coordinating with maintenance line planning and crew scheduling, this team makes caring connections with our internal customers and ultimately, United’s customers. From pushback to landing, the Network Operations team is the eyes and ears on the ground no matter where in the world your United flight takes you.

Job overview and responsibilities

The Manager of ATS Data serves as the technical lead for United's FAA System Wide Information Management (SWIM) data portfolio, responsible for designing and implementing real-time air traffic data solutions that support operational decision-making and enterprise applications.

This role leads the architecture of SWIM data ingestion, streaming interfaces, and data processing pipelines while establishing data standards, governance practices, and ensuring high-quality, scalable data products across the enterprise. The position is responsible for monitoring data health and integrity across the SWIM ecosystem, proactively identifying discrepancies and partnering across business units to resolve data quality, availability, and performance issues. Proficiency in programming languages (Java, Scala, Python, SQL) and cloud-based data warehousing services, to work closely with Digital Technology, Data Engineering, and Air Traffic Strategy teams to design cloud-based solutions and APIs while developing real-time dashboards in PowerBI.

As United's technical liaison with the FAA, this role collaborates on SWIM services, system enhancements, and emerging modernization initiatives while representing United's operational needs in the evolution of the National Airspace System. The Manager of ATS Data is an exceptional communicator with strong analytical skills who can translate complex technical concepts into business solutions, build cross-organizational relationships, and drive innovation in air traffic data architecture and data analytics.

• Collaborate with and across teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
• Utilize programming/scripting languages like Java, Scala, Python and SQL and NoSQL databases and Cloud based data warehousing services such as Redshift
• Coordinate business requirements definitions and interface, communications, leadership presentations, clarifying strategy and priorities.
• Portfolio management, coordinating with Data Engineering, Data Science, and other Digital Technologies teams to align on priorities, and tracking progress against goals.
• Act as a data subject matter expert to guide and support various enterprise teams on data centric solutions including but not limited to security, performance, reliability, maintainability and well-formed architecture.

What’s needed to succeed (Minimum Qualifications):

• Bachelor's degree in Computer Science, Engineering or related discipline or equivalent experience
• 4+ years of experience with large cloud environments, Big Data technologies
• Experience working on large-scale/high visibility projects
• Subject matter expert in Big Data, AWS technology
• Understanding of all aspects of data architectures, data dictionaries, and data lineages in a large-scale enterprise environment
• Demonstrable experience with distributed data warehousing and data processing systems such as Redshift
• Proficient with programming / scripting languages like Java, Scala, Python and SQL and NoSQL databases and Cloud based data warehousing services such as Redshift
• Deep knowledge of traditional data warehousing (models, practices, and processes), cloud-based data warehouses, data lakes, and data streaming
• Exceptional system design abilities, including high-scale ETL/ELT pipelines including leveraging python
• Experience with or solid understanding of data pipelines and event-driven architectures (Kinesis, Kafka)
• Proficient with AWS Cloud technologies (i.e. S3, Lambda, Dynamo, EC2), Python, Spark, and Hadoop
• Experience in Machine learning and/or predictive analytics
• Advanced knowledge of software lifecycles and testing automation
• Demonstrated ability to think critically and provide strategic insight and analysis to solve problems and make improvements
• Ability to make PowerBI dashboards
• Lead data integration and curation, including requirements definition and testing
• Ability to clearly communicate complex issues to leadership and customers
• Up to 10% travel
• 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):

• Master's degree
• 2+ years of experience in the aviation industry
• Cloudera/Hadoop Certification or AWS Developer/Big Data Analytics certification a plus
• Knowledge of FAA SWIM

Equal Opportunity Employer
The University of Missouri System is an Equal Opportunity Employer. Equal Opportunity is and shall be provided for all employees and applicants for employment on the basis of their demonstrated ability and competence without unlawful discrimination on the basis of their race, color, national origin, ancestry, religion, sex, pregnancy, sexual orientation, gender identity, gender expression, age, disability, or protected veteran status, or any other status protected by applicable state or federal law. This policy applies to all employment decisions including, but not limited to, recruiting, hiring, training, promotions, pay practices, benefits, disciplinary actions and terminations. For more information, visit https://www.umsystem.edu/ums/hr/eeo.

• All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, religion, sex, pregnancy, sexual orientation, gender identity, gender expression, age, disability, or protected veteran status, or any other status protected by applicable state or federal law. Achieving our goals starts with supporting yours. Grow your career, access top-tier health and wellness benefits, build lasting connections with your team and our customers, and travel the world using Responsibilities
• Responsible for designing and implementing real-time air traffic data solutions that support operational decision-making and enterprise applications.
• Lead efforts to establish data standards, governance practices, and ensure high-quality, scalable data products across the enterprise.
• Take ownership of monitoring data health and integrity, proactively identifying discrepancies and partnering across business units to resolve data quality, availability, and performance issues.
• Collaborate cross-functionally to design cloud-based solutions and APIs with Digital Technology, Data Engineering, and Air Traffic Strategy teams.
• Deliver high-quality real-time dashboards in PowerBI and work closely with business units to translate complex technical concepts into business solutions.
• Play a key role in shaping data centric solutions, including security, performance, reliability, maintainability, and well-formed architecture.
• Coordinate business requirements definitions, interface communications, leadership presentations, and strategy clarification.
• Lead efforts to manage the data portfolio, aligning with Data Engineering, Data Science, and Digital Technologies teams to track progress against goals.
• Act as a data subject matter expert to guide and support enterprise teams on data-centric solutions. Skills
• Proficiency in programming and scripting languages such as Java, Scala, Python, and SQL, as well as NoSQL databases and cloud-based data warehousing services like Redshift.
• Experience with distributed data warehousing and data processing systems, including Redshift.
• Deep knowledge of traditional data warehousing models, practices, and processes, as well as cloud-based data warehouses, data lakes, and data streaming.
• Exceptional system design abilities, including high-scale ETL/ELT pipelines using Python.
• Experience with or solid understanding of data pipelines and event-driven architectures such as Kinesis and Kafka.
• Proficiency with AWS Cloud technologies, including S3, Lambda, Dynamo, and EC2, as well as Spark and Hadoop.
• Experience in machine learning and/or predictive analytics.
• Advanced knowledge of software lifecycles and testing automation.
• Ability to lead data integration and curation, including requirements definition and testing.
• Strong communication skills for clearly presenting complex issues to leadership and customers. Education
• A bachelor's degree in Computer Science, Engineering, or a related discipline, or equivalent experience, is required.
• A master's degree is preferred.