Jobs at Southwest Airlines

Lead strategy, roadmap, and delivery of network planning systems and tools. Partner with internal teams and vendors (e.g., Amadeus) to align requirements, prioritize development, manage implementations, and provide senior leadership communication and analytical guidance.

Provide administrative support for airport Ground Operations: onboard new employees, manage badges/keys/parking, handle station financials and reconciliations, maintain records and schedules, process clerical tasks, coordinate meetings and supplies, and support cross-departmental initiatives to keep the station operating smoothly.

Lead enterprise AI data governance: define standards for data quality, lineage, privacy, security, and responsible use; translate requirements into repeatable processes; partner with cross-functional stakeholders; monitor risks and ensure traceability and compliance for AI systems.

Lead ethnographic research, ideation, concept development, prototyping, and testing to improve customer experience. Translate insights into storyboards, journeys, system maps, and prototypes; run workshops; collaborate cross-functionally and coach teams in human-centered design.

Lead and manage ramp agents to ensure safe, efficient, on-time aircraft arrivals and departures. Oversee equipment readiness, scheduling, training, payroll, attendance, and compliance with safety, labor agreements, and operational procedures. Coordinate with airport teams, forecast disruptions, monitor performance metrics, and complete daily administrative reports.

Lead and manage ramp agents to ensure safe, efficient, and on-time aircraft arrivals/departures. Oversee equipment readiness, scheduling, training, staffing, payroll/attendance, compliance with labor agreements, safety programs, and interdepartmental coordination. Perform administrative duties, report operational status, and enforce performance and safety standards.

Develop and maintain Air Traffic Management applications for Network Operations Control. Design, code, test, document, deploy, and support scalable cloud and microservice solutions, respond to production issues, collaborate with cross-functional teams, mentor junior engineers, and work in an agile environment to ensure reliable operational performance.

Prepare and review federal, state, and international tax returns and provisions, support audits and appeals, research tax positions and savings, compile and present tax data, and participate on projects to improve processes and ensure timely, accurate tax compliance and reporting.

Lead enterprise cash forecasting and balance sheet models; develop quantitative analyses for hedging, capital structure, and financing; support daily treasury operations and investment compliance; build financial planning tools with cross-functional partners; present insights to senior leaders and perform ad hoc financial analyses. On-site at Dallas HQ; extensive domestic and international travel required.

Build and support scalable data pipelines and platform infrastructure for a cloud-based data lake. Implement ETL processes, ensure data quality and governance, automate delivery with CI/CD and containers, collaborate with cross-functional stakeholders, and provide analytics tooling and operational improvements.

Lead and supervise ramp agents to ensure safe, timely aircraft arrivals and departures. Manage scheduling, training, equipment readiness, daily reports, and compliance with safety and labor agreements. Coordinate with airport departments, forecast operational impacts, administer payroll/attendance, and drive performance to meet on-time and service goals.

Lead design, implementation, and lifecycle management of enterprise network infrastructure. Resolve advanced escalations, monitor performance, create network/traffic diagrams, guide junior engineers, manage vendors, and align platform roadmap with Enterprise Architecture.

Lead design, delivery, and operation of cloud-based AI platform services. Provide technical leadership, mentor engineers, drive system design and CI/CD/IaC practices, ensure observability and reliability, manage integrations (data, ML platforms), and support production deployments and incident response.

Serve as the product owner for the Data Lake 2.0 platform: prioritize and maintain the team backlog, create user stories and acceptance criteria, partner with engineering, security, and stakeholders, participate in Scrum/PI planning, and ensure the platform delivers scalable, trusted data capabilities for analytics, AI, and machine learning.

Lead and grow a team of analysts, data engineers, and AI engineers to build AI, ML, analytics, and reporting products. Set strategy and roadmap, prioritize product delivery, partner with business and tech leaders, manage data pipelines and platforms, and recruit/develop talent to improve decision-making and operational outcomes.

Lead the development and operation of AI systems, directing technical architecture, team guidance, and ensuring secure, scalable solutions while mentoring engineers.

Lead design and delivery of scalable, secure AWS-based cloud services for AI platforms. Drive system architecture, IaC, CI/CD, observability, event-driven integrations, mentor engineers, and collaborate with product, security, and architecture teams to improve platform reliability and cost efficiency.

The Product Owner collaborates with stakeholders to define product vision and backlog, driving AI-enabled solutions in an Agile environment.

Lead technical direction for an enterprise cloud DevOps platform: design and implement AWS-based infrastructure-as-code, CI/CD pipelines, automation, governance, and mentor engineering teams to scale AI-enabled developer capabilities.

Design, build, and optimize high-performance data pipelines and scalable data lake infrastructure on cloud. Partner with stakeholders to enable trusted data delivery, analytics, BI, AI/ML, and improve platform reliability, performance, and cost efficiency.