The Senior Manager of Reliability and Advanced Analytics is responsible for enabling data-driven decision making across the Equipment department. Working with the Engineering team to develop and enhance reporting and analytics around component performance and evaluation, including field trail components.
Conceptualize and build predictive and statistical models to evaluate railcar reliability, maintenance costs, and effectiveness of maintenance programs such as CBM (condition based maintenance). Develop metrics, reporting and dashboards for Equipment department leadership and railroad customers utilizing industry data, such as Comprehensive Equipment Performance Monitoring (CEPM) data, Line of Road Failure data, and wayside detector data. Build machine learning and classification models to gain valuable insights and identify predicative patterns related to railcar and component performance, which can be used to drive operational practices.
RESPONSIBILITIES
- Support Engineering with data analysis for the Field Trial process (monitoring the field performance of components in railcar service) by evaluating performance of new designs or new manufacturers of components applied to TTX railcars
- Develop infrastructure and business processes necessary to develop and iterate machine learning models and solutions
- Develop and enhance advanced analytics and statistical models to evaluate railcar asset health, including component performance and the effectiveness of TTX maintenance programs
- Partner with Engineering to maintain performance benchmarks for components by providing life curves and other reliability or predictive analytics
- Utilize reporting techniques such as Weibull distributions to better understanding component expected life for long term maintenance planning and strategy
- Streamline and automate manual or recurring analytical requests, create a culture of self-service, data-driven decision makers
- Develop metrics, reporting and dashboards for Equipment department leadership as well as railroad customers
- Supervise, develop, and provide guidance to direct reports
- Evaluate commonly used quires and coding logic to determine best practices and implement changes to gain efficiencies
QUALIFICATIONS
- Bachelor or Master’s degree in computer science, statistics, business analytics, engineering or other related degrees
- Minimum of five years’ experience in data analytics, reliability or predictive analytics and data modeling
- Experience with Python, SQL, and SAS required
- Experience with data visualization tools such as Tableau and Power BI
- Strong technical and functional skills including statistical analysis and Data Science
- Familiarity with Microsoft Azure and DAX coding preferred
- Knowledge and understanding of railcar data and reporting preferred, such as industry wayside detector data and equipment health alerts
- A customer service perspective to provide accurate and reliable analyses. Ability to effectively present information and respond to questions from key customers and managers.
- Strong verbal and written communication skills. Team building and problem resolution skills.
- Leadership and management experience preferred
The above job description is intended to describe the general content of and requirements for the performance of this job. It is not to be construed as an exhaustive statement of duties, responsibilities or requirements.
ABOUT US
TTX Company is a leading provider of railcars and related freight car management services to the North American rail industry. TTX’s pool of railcars is ideal for supporting shippers in the intermodal, automotive, paper & forest, metals, machinery, wind energy and other markets where flatcars, boxcars and gondolas are required.
TTX Company is an Equal Employment Opportunity Employer.
ABOUT THE TEAM
What we do:
Provide reliable, cost effective an innovative railcar solutions for the markets we serve.
- Ensure an injury-free work place.
- Build and develop a highly capable team of subject matter experts and leaders at every level in our organization.
- Bring new product and process innovation to the rail car industry.
- Continuously improve our products, processes and systems in a cost effective manner by using modern design techniques and data analytics.
- Achieve, maintain and support cross company alignment with the TTX company mission statement.
TTX Company
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