Manager - Predictive Safety Data (Hybrid)

United Airlines•Chicago, IL

1d•$112,480 - $146,540•Hybrid

About The Position

As an airline, safety is our most important principle. And our Corporate Safety team is responsible for making sure safety is top of mind in every action we take. From conducting flight safety investigations and educating pilots on potential safety threats to implementing medical programs and helping prevent employee injuries, our team is instrumental in running a safe and successful airline for our customers and employees. Job overview and responsibilities As the Manager for Predictive Safety Data, you play a critical role in ensuring safety is at the core of everything we do at United. Our team is integral for ensuring a safe workplace for our employees and travel experience for our customers. This role is responsible for supporting the development and implementation of a cohesive safety data strategy and supporting the Director of SMS in growing United's Safety Data Management programs. This includes data engineering to establish a scalable data infrastructure, by creating and maintaining highly integrated corporate safety data sources, identifying opportunities for prescriptive and predictive use cases, developing key safety metrics thorough data analysis, providing actionable data driven insights, and building out comprehensive business intelligence tools and dashboards. With the objective of reducing safety risk and improving our safety culture. This position will lead and coordinate with a team of data managers and subject matter experts from across the enterprise. This position will work closely with Digital Technology teams to leverage the latest in Data Science, focusing on data ingestions and transformations and data analytics improvements. This role requires an individual with excellent analytical abilities and strong business acumen. While leading others, this role requires someone capable of being strategic, collaborative, and hands-on with safety data.

Requirements

Bachelor's degree
Data Science, Math, Statistics, Operations Research, Computer Science, Engineering, or related field required
At least 3-5 years of experience in business intelligence, analytics, and/or data engineering
Deep understanding of data structures, relationships, and efficient transformations
Familiarity with all parts of the data ecosystem -- acquisition, engineering, storage, management, analysis, visualization, and deployment
Knowledge and application of data visualization best practices
Proven comfort working with massive data sets
Proficiency writing complex queries and procedures using both traditional and modern technologies/ languages (i.e. SQL, Python, Spark, etc.)
Data visualization skills using one or more reporting tools (i.e. Spotfire, Tableau, Palantir, etc.) to produce meaningful, elegant, automation, reporting and dashboards
Ability to learn from subject matter experts and then design a data/technology solution that connects business processes with quantifiable outcomes
Excellent interpersonal, verbal, written and presentation skills
Proven problem solving and organizational skills
Ability to quickly understand complex systems and explain them to varied audiences
Ability to work independently, and handle stress in a fast paced, multi-task-oriented atmosphere
Demonstrated advanced use of Microsoft Word, Microsoft Excel, Microsoft PowerPoint, Microsoft OneNote, Microsoft Teams
Position may require some travel at times, up to 10% around the United system, to gain and support front line insights
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
Work experience in the field of transportation safety, aviation management or aviation safety
Experience with JavaScript, D3, HTML, CSS / front-end development
Knowledge of UI/UX design principles
Involvement with agile technology development
Background integrating data outputs into production-level IT applications
Exposure to statistical and analytical methods

Responsibilities

Develop and implement predictive/prescriptive data strategies for Safety Data Management and streamlining processes
Collaborate with Digital Technology and Operational Safety teams, such as Aviation Safety, Operations Risk, Corporate Medical, Operations Safety, and divisional safety departments, to analyze, predict and reduce safety risks and provide measurable solutions
Partner with Digital Technology team to enhance safety management databases and develop streamlined and comprehensive data analytics workstreams
Support United’s SMS with predictive data analytics by assisting in the design and develop of statistical models and improved data collection based on the operating needs of the organization
Areas of focus will include, but are not limited to: Predictive and prescriptive analytics Data Visualizations Modeling and coding of data Reporting and automation Consulting with data customers