Manager - Air Traffic Strategy Data

United Airlines•Arlington Heights, IL

4d•$102,220 - $133,194•Onsite

About The Position

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. 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.

Requirements

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
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

Nice To Haves

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

Responsibilities

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.
Lead data integration and curation, including requirements definition and testing
Ability to clearly communicate complex issues to leadership and customers