Senior Manager – Operations Excellence and Analytics

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Description

At United, we have some of the best aircraft in the world. Our Technical Operations team is full of aircraft maintenance technicians, engineers, planners, ground equipment and facilities professionals, and supply chain teams that help make sure they’re well taken care of and ready to get our customers to their desired destinations. If you’re ready to work on our planes, join our Tech Ops experts and help keep our fleet in tip-top shape.  

Job Overview and Responsibilities

This Senior Manager will add quantitative sophistication to business decisions by turning data into information and information into insight. This person will also partner with business owners to pursue analytical opportunities within maintenance planning, supply chain, aircraft health monitoring, aircraft engineering, maintenance execution, and maintenance programs, among other areas. Additionally, this person will demonstrate analytical aptitude while scoping strategic projects that link business problems and quantitative methods. This role also leads the Standards and Excellence analytics capability and the performance governance system behind it - KPI design, dashboard and data product roadmaps, and benefits realization routines - partnering with Digital Technology, Process Standards, Continuous Process Improvement, Projects & Execution and Change Management so insight translates into measurable operational and financial results.                        

• Manager a team of 3-4 data analysts by guiding them on modeling techniques, approaches, and methodologies
• Parter with business teams throughout Technical Operations and United to uncover previously unknown opportunities that can be solved quantitatively; define use cases and manage the analytics portfolio based on value, complexity, and business need
• Ensure alignment and prioritization with business objectives and initiatives - help business owners make faster, smarter decisions; translate the Standards and Excellence strategy into the analytics strategy, metric architecture, and dashboard and data product roadmap
• Design KPIs and objective functions to unify disparate business units, aligning goals and incentives; establish and maintain KPI governance, metric definitions, data quality controls, review cadences, ownership routines, and sustainment mechanisms so analytics products remain trusted, actionable, and embedded in ongoing business performance management
• Build and deliver presentations that explain drivers of operational performance, including recommendations on how to improve outcomes; translate complex analysis into executive-ready stories, recommendations, and decisions
• Execute solutions to business problems using data analysis, data mining, optimization, statistical modeling, and machine learning techniques; identify trends, root causes, and constraints in operational and financial data
• Translate analytical models directly into business actions while keeping in mind constraints of existing systems and processes; partner with Digital Technology, and platform teams to design, build, and activate data assets, dashboards, and decision-support tools, connecting delivered work to measurable operational and financial outcomes

• Encourage development and sharing of internal best practices and foster collaboration with internal and external teams

   

NOTE: This position is located at the CSC-Willis Tower in Chicago, IL and considered as a hybrid role working 3 days in office, however that may evolve with the needs of the company. 

Qualifications

What’s needed to succeed (Minimum Qualifications):

 

• Bachelor's degree in a quantitative field such as Mathematics, Statistics, Operations Research, Economics, Computer Science, Engineering or related work experience
• 5+ years of experience in data science and/or analytics
• 2+ years of experience in a leadership/supervisory role
• Experience with the following multiple areas: exploratory data analyses, feature engineering, clustering, regressions, tree methods, supervised and unsupervised learning, reinforcement learning, neural networks, natural language processing, simulation, optimization, and other parametric and nonparametric classification methods
• Expertise in at least one quantitative analysis package - i.e. Python, R, etc.
• Proficiency in writing complex queries and procedures using SQL
• Data visualization skills using one or more reporting tools - i.e. Spotfire, Tableau, ggplot2, etc.