Kansas City Southern Railway Superintendent - Mechanical Reliability & Engineering in Kansas City, Missouri

Superintendent - Mechanical Reliability & Engineering

Tracking Code

219882-021

Job Description

Job Summary:

This position is responsible for leading enterprise wide efforts to leverage data to improve how our Mechanical assets (locomotives and rail cars) are maintained and utilized to reduce service interruptions and increase overall fleet reliability and network safety. This work will include: statistical analysis of test and field data, numeric model development of physical systems (working with fleet and component OEMs, detector systems OEMs, and KCS’ Operating and IT departments), and predicative reliability forecasting.

This level position looks beyond existing methodologies and own function to define and resolve complex issues; Leads a broad functional area through subsidiary leaders, or highly analytical or technical professionals, focusing on strategic work; Participates in the interview/selection process, provides training and mentorship, offers career development guidance, and is engaged in performance management; Adapts and executes business plans for departments or functional area; Contributes to business unit strategy; Translates business unit/company objectives into functional strategic plans that impact operating results of the business unit/company; Secures and deploys resources to achieve results aligned with business unit/company goals, commitments, and financial responsibilities; Has responsibility of planning, staffing, budgeting, managing expense priorities, and recommending and implementing changes to methods.

Job Duties:

  • Builds, tests and/or deploys locomotive and car reliability and predictive maintenance models and tools.

  • Extracts usage profiles and statistics from rolling stock and locomotive fleet to develop analytical models and KPIs for fleet.

  • Leads KCS efforts related to wayside detection and other anomaly detection tools.

  • Works with internal and external stakeholders to brainstorm and implement new algorithmic approaches to improve maintenance practices and safety.

  • Researches, analyzes and identifies root causes of Mechanical service interruption trends and train incidents, and partners with Locomotive and Car operations efforts to develop initiatives to address root causes and reduce frequency.

  • Seeks out and implements ways to automate and accelerate development of mechanical related data driven products.

  • Establishes the department’s technical vision and leads aspects with internal and external technological development.

  • Operates KCS’ Mechanical Assistance Center (“MAC Desk”) which provides 24*7 remote support for service interruptions in the US and Mexico.

  • Manages overall Mechanical Asset Health and Quality.

  • Directs and manages full-scale mechanical / wayside detection project plans and project life-cycles after the design/engineering phase and executes field deployment, testing and post installation technical support. The role includes deployment of our systems in the field to ensure efficient execution of field installations in addition to successful maintenance of installed systems over time.

  • Provides engineering expertise in the areas of wayside detection site selection, preparation, design engineering, and maintenance.

  • Ensures all company field procedures and protocols are observed thorough, timely, and efficient documentation of mechanical quality and reliability processes.

  • Exemplifies KCS Vision, Values, and Culture in each and every interaction with team, clients, and stakeholders.

Basic Qualifications:

  • Bachelor's degree from an accredited university or college

  • Minimum ten (10) years of relevant professional experience, including leading and managing complex projects or programs with outcome focused deliverables.

  • Minimum three (3) years of managerial experience

  • Note: Applicable studies and work history may be taken into account in lieu of degree and experience requirements

Preferred Requirements:

  • Bachelor of Science in engineering, computer science, statistics or related discipline.

  • Minimum of 5 years of experience in a data analysis position or equivalent experience.

  • Advanced knowledge of predictive analytics models and approaches.

  • Experience with rail technologies and operations – understanding of on board, wayside or other anomaly detection approaches and challenges.

  • Experience quantifying results through Key Performance Indicators (KPIs).

  • Excellent communication, problem solving, and analytical skills.

The duties listed are representative of the job; however, it in no way states or implies that these are the only duties a person may be required to perform. The omission of specific statements of duties does not exclude them from the position if the work is similar, related or is an essential function of the position.

We are proud to be an EEO/AA employer/Veteran/Disabled. We maintain a drug-free workplace and perform pre-employment substance abuse testing.

Job Location

Kansas City, Missouri, United States

Position Type

Full-Time/Regular