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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 whatu2019s next. Letu2019s define tomorrow, together. Description The Sr. Manager IT Application Development u2013 Finance Data, Analytics will lead a team that builds and operates cloud-native applications, services, and custom analytics solutions supporting FP&A and Controllership. This role partners closely with Finance stakeholders, Enterprise Data Engineering, and Enterprise AI teams to deliver scalable solutions In addition to delivering new capabilities, this role is accountable for supporting existing finance analytics and traditional reporting, enabling reliable onboarding and ingestion of finance data into the United data hub (UDH). Product delivery, operations, and modernization u2022 Lead delivery of high-quality software applications and custom analytics services that meet finance requirements for reliability, auditability, governance, and performance. u2022 Support and enhance existing finance analytics solutions and traditional reports, ensuring stability through close/forecast cycles and improving performance and maintainability over time. u2022 Deliver modern calculation and insight capabilities that support profitability and cost allocation use cases. u2022 Partner with Data Engineering on ingestion and pipelines; define finance requirements and data contracts, onboard finance data into the UDH, and support production readiness, data quality, cataloging, and governance. u2022 Scale finance adoption of the UDH and self-service analytics through United-approved tools and certified datasets. u2022 Partner with Enterprise AI teams to jointly deliver finance AI use cases (AI/ML, GenAI, Agentic) from concept through production. u2022 Drive predictable delivery through Agile practices, disciplined release management, and strong production support processes. u2022 Partner with Finance leaders as a trusted advisoru2014translating business outcomes into actionable technical strategies and roadmaps. Qualifications Qualifications u2022 Bacheloru2019s degree in Computer Science, Engineering, Information Systems, or related field. u2022 7+ years of progressive IT experience with a strong focus on software engineering / application development, including building cloud-native services or data-intensive applications at enterprise scale. u2022 3+ years of leadership experience managing teams and/or complex cross-functional initiatives. u2022 Demonstrated experience delivering modern cloud-based solutions using AWS and modern engineering practices (CI/CD, DevSecOps, observability). u2022 Strong engineering fundamentals including API/service design, event-driven patterns, resiliency, performance tuning, and secure SDLC practices. u2022 Experience working with modern cloud and analytics technologies such as: + AWS (ECS, Lambda, EventBridge, SQS, S3) + C#/.NET services and API-based integrations + Databricks, Apache Spark, Python + Delta Lake, Unity Catalog (including SQL Serverless capabilities) + Amazon Redshift + Power BI or similar analytics consumption tools u2022 Experience supporting production services and/or analytics platforms (monitoring, incident management, operational readiness). u2022 Foundational knowledge of AI/ML and agentic AI concepts sufficient to lead production use cases with Enterprise AI partners. u2022 Strong stakeholder management skills and ability to translate finance needs into clear technical plans and delivery outcomes. Preferred Qualifications u2022 Masteru2019s degree in a related field. u2022 Experience modernizing or refactoring legacy solutions into cloud-native architectures and operating them at scale. u2022 Experience delivering calculation-intensive or rules-driven finance solutions (allocations, scenario modeling, forecasting, anomaly detection) with explainability and auditability requirements. u2022 Experience with data quality and observability frameworks. u2022 Experience with MLOps/LLMOps and operational monitoring for AI-enabled solutions. u2022 Airline industry experience. The base pay range for this role is $140,600.00 to $183,108.00. 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. 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. Equal Opportunity Employer - Minorities/Women/Veterans/Disabled/LGBT. 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 to request accommodation.