Director - Operational Intelligence

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Description

Responsible for defining and managing the product strategy related to data and analytics that power the transformation of United’s airport and network operations. The Director will own the strategy, requirements and product direction for the foundational data platform integrating operational data across the airline as well as the modeling and optimization capabilities. Partnering with Digital Technology to bring these capabilities to life, this Director will work to define what gets built, manage quality and performance and ensure every capability delivers operational value. This role requires technical fluency to be able to direct data and modeling strategy combined with a product mindset to translate operational needs into clear requirements and development priorities

• Owning the strategy, roadmap and requirements for an integrated operational data foundation. Defining data quality, governance and availability standards. Partnering with technology teams to ensure capabilities are delivered on time, to standard and drive value and impact for operational teams
• Owning the strategy, roadmap and requirements for modeling and optimization capabilities that provide the operation with forward-looking intelligence and actionable decision support. Defining requirements success criteria and validation protocols for all models and analytical products. Partnering with technology teams to develop, test and continuously improve these capabilities
• Owning the decision support and optimization strategy for the NOC and SOC network. Identifying opportunities to augment operational decisions through rules engines, optimization logic, and recommendation frameworks. Maintaining ownership of business logic and operational applications while partnering with DT on technical execution
• Overseeing shared service analytics function, ensuring the team delivers consistent, high-quality analytical support across the broader organization. Aligning analytics priorities with the transformation roadmap and establishing standards for dashboards, reporting, operational metrics, and ad hoc analytical requests. Ensuring analytical outputs are trusted, accessible, and actionable.
• Partnering with peers to ensure that data capabilities, models, and analytical products translate into frontline operational value. Ensuring every capability has a clear path to the people making decisions through integrated tools and interfaces
• Building and developing a high-performing team of product-minded analysts and managers capable of defining requirements, managing development partnerships, and ensuring delivery quality for complex data and modeling capabilities

Qualifications

Required:

• Bachelor’s degree (Quantitative Field – Computer / Data Science, Engineering, Statistics, Operations Research, Business or equivalent)
• 8+ years of relevant experience
• 6 or more years of experience in data strategy, analytics leadership, data product management or related product roles
• Proven ability to build, lead and develop a high-performing team
• Technical fluency in data engineering, data science and modeling concepts – sufficient to credibly define requirements, evaluate approaches and partner with development partners on delivery
• Experience managing technical development partnerships within the organization
• Experience defining data strategy, data quality standards or analytical capability roadmaps for an organization
• Proven ability to translate complex operational needs into clear, actionable technical requirements for development partners
• Strong communication skills with the ability to translate complex data and modeling concepts into business terms for non-technical executives and operational leaders
• Adept at building and managing strategic partnerships with engineering, IT, and data teams
• Demonstrates flexibility, creativity, and innovation in defining analytical solutions and recommendations
• Strong product management orientation — ability to manage roadmaps, backlogs, and delivery timelines for complex technical capabilities
• Able to constructively engage, negotiate, resolve conflict and influence leaders across organizational boundaries
• Models all Core4 principles

Preferred

• Master’s degree (Computer / Data Science, Statistics, Operations Research or related quantitative field)
• Airline operations experience or in-depth experience in complex, real-time operational environments (logistics, supply chain, transportation, etc.)
• Experience with oversight of requirements definition, backlog management and delivery oversight in partnership with technology teams
• Experience with data integration, decision support systems and recommendation engines
• 3+ years of airline business experience preferred
• Expert knowledge of Domestic Network and Network Planning tools (schedule manager, profit manager, FPS data feeds)
• Deep technical knowledge of advanced analytics and demonstrated experience in application of statistics, operations research and machine learning methods

The base pay range for this role is $175,750.00 to $228,818.00.

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 [email protected] to request accommodation.