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4897

Chief Engineer, Tie Data Analytics

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Chief Engineer, Tie Data Analytics

Apply
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Job ID: req4897
Job Category: Corporate
Location: Hamel, MN, US

Job Title: Chief Engineer, Tie Data Analytics

FLSA Status: Exempt

Department: Digital Service Delivery

Reports to: Director, Digital Service Delivery

Flex Work Eligible! This position qualifies for the Flexible Work Policy. Employees receive 75 workdays annually to work remote! The initial amount of days is prorated for the first year based on start date. 

GENERAL DESCRIPTION/PURPOSE:

The Chief Engineer, Tie Data Analytics is a global leadership position responsible for performing assessments of data quality for Loram’s Aurora inspection technology, developing analytical modules for automated dataset analysis, and creating user-friendly reports to disseminate results directly to Loram digital service customers. Additional responsibilities include tracking raw data quality, reporting problematic trends for intervention, developing new algorithms to evaluate data, and ultimately developing predictive modeling for data-driven solutions. This role also oversees the integration of new analytical processes into internally developed software applications. The Chief Engineer, Tie Data Analytics will manage the inspection technology team, including Data Processing Technicians, the Aurora Data Analysts, and Engineers.

ESSENTIAL JOB FUNCTIONS:

Product Strategy, Design and Analysis

  • Suggest and debate alternative methods to solve technical problems and meet changing market opportunities by developing new or enhancing existing product and service offerings in Tie inspection.
  • Stay abreast of technical developments in the industry by reviewing technical publications and participating in relevant industry meetings and events. Where feasible, participate in industry events to gain Loram recognition within the industry and promote services provided.
  • Effectively identify and communicate key market and product information that will help other Loram stakeholders make reasonable and forward-thinking decisions
  • Develop and apply data analysis techniques to evaluate, automate and maintain data and system to scale capabilities while upholding quality requirements.
  • Simulate what-if scenarios to improve decision-making, perform root cause analysis for troubleshooting, and determine data trends to predict future states.
  • Express knowledge of fundamental data analysis techniques and continue to learn and apply advanced analysis methodologies.

Data Exploration

  • Integrate disparate datasets over time, location, and source, including historical data, external customer data, and data from existing and emerging sources.
  • Monitor data quality and quantity, conducting creative and real-world analyses to isolate problems.
  • Stay current with emerging techniques through continuing education, trade publications, and industry conferences.
  • Communications

Business and Customer Management

  • Develop and cultivate effective relationships with customers and other industry leaders.
  • Work with customers to determine areas of opportunities, support and/or encourage railroads’ efforts in justifying and expanding budgets for Loram’s products and services and assist in the development and execution of customer contractual requirements.
  • Educate and train key railroad personnel on proper application and evaluation techniques. Develop analytical techniques and reports in order to communicate and demonstrate quality and effectiveness of Loram services.

Leadership and Talent Development

  • Holds team members accountable to collaborate openly and inclusively with peers in other departments and/or subsidiaries to ensure productive and positive employee experience for all Loram employees
  • Promote a culture of innovation, strategic thinking, and operational excellence across all departments.
  • Implement performance management practices that drive efficiency, alignment, and professional development within the organization.

REQUIRED QUALIFICATIONS:

Education Bachelor’s Degree in Mathematics, Statistics, Engineering, Computer Science, or a related field.

Experience: 5+ years of experience working with technical data analysis and customer engagement.

Licenses/Certifications: Maintain Railroad Certifications and safety training

PREFERRED QUALIFICATIONS:

Education:

  • Master’s Degree or Advanced Technical Degree preferred.

Experience:

  • 5+ years of supervisory experience preferred.

 

WORKING CONDITIONS:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of the role. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

  • Office deskwork requiring sitting, walking, using phone & computer
  • May lift up to 30 lbs. occasionally
  • Up to 30% of travel including international
  • Can tolerate variable and sometimes challenging conditions during visits or inspections of company equipment in a railroad environment.

Benefits for this role include a comprehensive package with company-sponsored medical, dental, and vision insurance; Health Savings Account (HSA) and Flexible Spending Account (FSA) options; wellness programs; basic life and AD&D insurance; voluntary life insurance; company paid short-term and long-term disability coverage; 401(k) retirement plan including an employer match of 150% up to the first 6% you contribute to the Plan; Employee Assistance Program (EAP); behavioral health support; and leaves of absence. Additional benefits include tuition reimbursement, payroll charity contributions, adoption assistance and optional plans such as legal, critical illness, and hospitalization.

Loram determines compensation based on factors such as skills, competencies, education, and/or experience. Certain positions may be eligible for an annual bonus and paid time off in addition to base compensation.

Starting pay for the position is between $117,000-$146,250

Loram is an Equal Opportunity Employer and will make all employment-related decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, age, disability, marital status, familial status, status with regard to public assistance, membership or activity in a local commission, protected veteran status, or any other status protected by applicable law.

 

#LI-HYBRID
#LI-KK1

Apply
Return to Search Results
Job ID: req4897
Job Category: Corporate
Location: Hamel, MN, US

DESCRIPTION

Job Title: Chief Engineer, Tie Data Analytics

FLSA Status: Exempt

Department: Digital Service Delivery

Reports to: Director, Digital Service Delivery

Flex Work Eligible! This position qualifies for the Flexible Work Policy. Employees receive 75 workdays annually to work remote! The initial amount of days is prorated for the first year based on start date. 

GENERAL DESCRIPTION/PURPOSE:

The Chief Engineer, Tie Data Analytics is a global leadership position responsible for performing assessments of data quality for Loram’s Aurora inspection technology, developing analytical modules for automated dataset analysis, and creating user-friendly reports to disseminate results directly to Loram digital service customers. Additional responsibilities include tracking raw data quality, reporting problematic trends for intervention, developing new algorithms to evaluate data, and ultimately developing predictive modeling for data-driven solutions. This role also oversees the integration of new analytical processes into internally developed software applications. The Chief Engineer, Tie Data Analytics will manage the inspection technology team, including Data Processing Technicians, the Aurora Data Analysts, and Engineers.

ESSENTIAL JOB FUNCTIONS:

Product Strategy, Design and Analysis

  • Suggest and debate alternative methods to solve technical problems and meet changing market opportunities by developing new or enhancing existing product and service offerings in Tie inspection.
  • Stay abreast of technical developments in the industry by reviewing technical publications and participating in relevant industry meetings and events. Where feasible, participate in industry events to gain Loram recognition within the industry and promote services provided.
  • Effectively identify and communicate key market and product information that will help other Loram stakeholders make reasonable and forward-thinking decisions
  • Develop and apply data analysis techniques to evaluate, automate and maintain data and system to scale capabilities while upholding quality requirements.
  • Simulate what-if scenarios to improve decision-making, perform root cause analysis for troubleshooting, and determine data trends to predict future states.
  • Express knowledge of fundamental data analysis techniques and continue to learn and apply advanced analysis methodologies.

Data Exploration

  • Integrate disparate datasets over time, location, and source, including historical data, external customer data, and data from existing and emerging sources.
  • Monitor data quality and quantity, conducting creative and real-world analyses to isolate problems.
  • Stay current with emerging techniques through continuing education, trade publications, and industry conferences.
  • Communications

Business and Customer Management

  • Develop and cultivate effective relationships with customers and other industry leaders.
  • Work with customers to determine areas of opportunities, support and/or encourage railroads’ efforts in justifying and expanding budgets for Loram’s products and services and assist in the development and execution of customer contractual requirements.
  • Educate and train key railroad personnel on proper application and evaluation techniques. Develop analytical techniques and reports in order to communicate and demonstrate quality and effectiveness of Loram services.

Leadership and Talent Development

  • Holds team members accountable to collaborate openly and inclusively with peers in other departments and/or subsidiaries to ensure productive and positive employee experience for all Loram employees
  • Promote a culture of innovation, strategic thinking, and operational excellence across all departments.
  • Implement performance management practices that drive efficiency, alignment, and professional development within the organization.

QUALIFICATIONS

REQUIRED QUALIFICATIONS:

Education Bachelor’s Degree in Mathematics, Statistics, Engineering, Computer Science, or a related field.

Experience: 5+ years of experience working with technical data analysis and customer engagement.

Licenses/Certifications: Maintain Railroad Certifications and safety training

PREFERRED QUALIFICATIONS:

Education:

  • Master’s Degree or Advanced Technical Degree preferred.

Experience:

  • 5+ years of supervisory experience preferred.

WORKING CONDITIONS:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of the role. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

  • Office deskwork requiring sitting, walking, using phone & computer
  • May lift up to 30 lbs. occasionally
  • Up to 30% of travel including international
  • Can tolerate variable and sometimes challenging conditions during visits or inspections of company equipment in a railroad environment.

Benefits for this role include a comprehensive package with company-sponsored medical, dental, and vision insurance; Health Savings Account (HSA) and Flexible Spending Account (FSA) options; wellness programs; basic life and AD&D insurance; voluntary life insurance; company paid short-term and long-term disability coverage; 401(k) retirement plan including an employer match of 150% up to the first 6% you contribute to the Plan; Employee Assistance Program (EAP); behavioral health support; and leaves of absence. Additional benefits include tuition reimbursement, payroll charity contributions, adoption assistance and optional plans such as legal, critical illness, and hospitalization.

Loram determines compensation based on factors such as skills, competencies, education, and/or experience. Certain positions may be eligible for an annual bonus and paid time off in addition to base compensation.

Starting pay for the position is between $117,000-$146,250

Loram is an Equal Opportunity Employer and will make all employment-related decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, age, disability, marital status, familial status, status with regard to public assistance, membership or activity in a local commission, protected veteran status, or any other status protected by applicable law.

 

#LI-HYBRID
#LI-KK1

ABOUT

Loram Maintenance of Way, Inc. logo

Based in Hamel, Minnesota, Loram Maintenance of Way, Inc. designs and builds some of the most sophisticated railway maintenance equipment in the world, delivering high quality products and services to our global customers. This is made possible by employees who are passionate about delivering advanced equipment, innovative solutions, and unrivaled customer service.

For more information about Loram go to:

www.loram.com/about

Loram Technologies, Inc. logo

Based in Georgetown, Texas, Loram Technologies, Inc. provides innovative solutions for the railroad industry. From our friction management application systems to our Aurora® track inspection systems, our products are technologically advanced, safer, more efficient, and more productive than traditional maintenance methods.

For more information about LTI go to:

http://www.loramtechnologies.com

Loram is proud to be an Equal Opportunity Employer of Minorities, Females, Protected Veterans, and Individuals with Disabilities.

Job Title: Chief Engineer, Tie Data Analytics

FLSA Status: Exempt

Department: Digital Service Delivery

Reports to: Director, Digital Service Delivery

Flex Work Eligible! This position qualifies for the Flexible Work Policy. Employees receive 75 workdays annually to work remote! The initial amount of days is prorated for the first year based on start date. 

GENERAL DESCRIPTION/PURPOSE:

The Chief Engineer, Tie Data Analytics is a global leadership position responsible for performing assessments of data quality for Loram’s Aurora inspection technology, developing analytical modules for automated dataset analysis, and creating user-friendly reports to disseminate results directly to Loram digital service customers. Additional responsibilities include tracking raw data quality, reporting problematic trends for intervention, developing new algorithms to evaluate data, and ultimately developing predictive modeling for data-driven solutions. This role also oversees the integration of new analytical processes into internally developed software applications. The Chief Engineer, Tie Data Analytics will manage the inspection technology team, including Data Processing Technicians, the Aurora Data Analysts, and Engineers.

ESSENTIAL JOB FUNCTIONS:

Product Strategy, Design and Analysis

  • Suggest and debate alternative methods to solve technical problems and meet changing market opportunities by developing new or enhancing existing product and service offerings in Tie inspection.
  • Stay abreast of technical developments in the industry by reviewing technical publications and participating in relevant industry meetings and events. Where feasible, participate in industry events to gain Loram recognition within the industry and promote services provided.
  • Effectively identify and communicate key market and product information that will help other Loram stakeholders make reasonable and forward-thinking decisions
  • Develop and apply data analysis techniques to evaluate, automate and maintain data and system to scale capabilities while upholding quality requirements.
  • Simulate what-if scenarios to improve decision-making, perform root cause analysis for troubleshooting, and determine data trends to predict future states.
  • Express knowledge of fundamental data analysis techniques and continue to learn and apply advanced analysis methodologies.

Data Exploration

  • Integrate disparate datasets over time, location, and source, including historical data, external customer data, and data from existing and emerging sources.
  • Monitor data quality and quantity, conducting creative and real-world analyses to isolate problems.
  • Stay current with emerging techniques through continuing education, trade publications, and industry conferences.
  • Communications

Business and Customer Management

  • Develop and cultivate effective relationships with customers and other industry leaders.
  • Work with customers to determine areas of opportunities, support and/or encourage railroads’ efforts in justifying and expanding budgets for Loram’s products and services and assist in the development and execution of customer contractual requirements.
  • Educate and train key railroad personnel on proper application and evaluation techniques. Develop analytical techniques and reports in order to communicate and demonstrate quality and effectiveness of Loram services.

Leadership and Talent Development

  • Holds team members accountable to collaborate openly and inclusively with peers in other departments and/or subsidiaries to ensure productive and positive employee experience for all Loram employees
  • Promote a culture of innovation, strategic thinking, and operational excellence across all departments.
  • Implement performance management practices that drive efficiency, alignment, and professional development within the organization.
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Loram is an Equal Opportunity Employer and will make all employment-related decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, age, disability, marital status, familial status, status with regard to public assistance, membership or activity in a local commission, protected veteran status, or any other status protected by applicable law.

  • 3900 Arrowhead Drive
  • Hamel, MN 55340 USA
  • 1-800-328-1466

Loram is committed to protecting the identity and personal information of any potential employee. Loram applicants will only be contacted by Loram employees with an authentic Loram email address ending in @loram.com. We encourage you to verify the identity of any individual who claims to be a member of the Loram team by confirming the email address is @loram.com with no additional characters or letters. We will never request financial information or a financial commitment as part of the recruitment process. If you have a question about the authenticity of any communication claiming to be from Loram, please contact loramrecruiting@loram.com. Reports can be submitted online at www.loram.ethicspoint.com or by calling 1-844-635-4640.

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