Manager, Data Sciences & Analytics at RTD in District Shops

Manager, Data Sciences & Analytics

Location: District Shops

Please complete the application in its entirety. Include all previous employment so that it may be taken into consideration. Please include a resume attachment with submittal of your application. Resume should document months and years with your dates of employment. Failure to submit a complete and timely application may result in the rejection of your application. Applicants are responsible for ensuring that application materials are received before the closing date and time listed.

At Regional Transportation District (RTD), We make lives better through connections!

When you join RTD, you will be among dedicated employees exhibiting RTD's values of passion, respect, diversity, trustworthiness, collaboration, and ownership. RTD is committed to an inclusive and diverse workplace. As part of our diversity value statement, we encourage our employees to honor diversity in thought, people, and experience. Come join RTD on this great journey to be the trusted leader in mobility, delivering excellence and value to our customers and community.

RTD Employee Benefits: https://www.rtd-denver.com/careers/benefits

(RTD Represented Employee Benefits: Please refer to the Labor Agreement included in the above link for details.)

The Manager, Data Sciences and Analytics manages the development and application of data science methodologies, mathematical modeling, and other analytical optimization techniques to support RTD’s Asset Management program. This position develops and interprets information that assists with decision making, policy formulation, and other Asset Management functions.

DUTIES & RESPONSIBILITIES:

Data Management and Analytics

• Analyzes and interprets Asset Management information and evaluates results to assess and identify alternative solutions to support strategic decision making.
• Gathers and interprets rich data sets, solving challenging questions and communicating insights and findings to stakeholders.
• Develops, designs, and implements new data relationships, applications, and system solutions.
• Estimates the quantifiable characteristics of events or information and creates sampling plans. Develops instruments to estimate sizes, distances, and quantities for determining time, costs, resources, or materials required.
• Identifies and monitors key performance indicators (KPIs) and other metrics used to evaluate asset performance and effectiveness, and recommends the actions needed to improve or correct performance.
• Oversees mission-critical Asset Management data warehouses and analytical systems, ensuring the quality, integrity, consistency, and availability of asset data.

People Power Management

• Maintains appropriate staffing levels and reviews progress to ensure the quality and quantity of work meet standards and deadlines for deliverables to meet program goals and objectives.
• Recruits staff to include interviewing, hiring, assigning work, training, coaching, and counseling to ensure consistent application of Employee Guidelines, processes, and procedures.
• Conducts performance reviews and holds employees accountable for optimal performance of their responsibilities.
• Fosters a safety-first culture, prioritizing prevention, accountability, and continuous improvement.
• Takes action to advance the goals of Equal Employment Opportunity, Small/ Disadvantaged Business Enterprise, Title VI and ADA Plans, thereby ensuring RTD's hiring programs, work environment, contracting and procurement practices, and transit services/programs are fair, equal, and non-discriminatory.

All other job-related duties, as assigned.

QUALIFICATIONS:

Required Qualification:

• Bachelor’s degree in Business Administration, Decision Science, Mathematics, Analytics, Engineering, or a similar discipline.
• A minimum of three (3) years of experience in statistical analysis or data analysis- the ability to compile, code, categorize, calculate, tabulate, audit, and verify information and/or data.
• A minimum of five (5) years of experience with data analytics and/or data visualization applications.
• A minimum of two (2) years of experience in a supervisory position.

Preferred Qualifications:

Master’s degree preferred.

OR:

An equivalent combination of education, experience, knowledge, skills, and abilities.

Key Competencies & Characteristics:

• Proficiency in economic and accounting principles and practices, analysis and reporting of financial data.
• Proficiency in business and management principles involved in strategic planning, resource allocation, human resources modeling, leadership techniques, production methods, and coordination of people and resources.
• Ability to interpret the meaning of information for others — translating or explaining what information means and how it can be used.
• Ability to manage time and workload effectively, which includes planning, organizing, and prioritizing with attention to detail.
• Proficient with Microsoft Office Suite.
• Strong verbal and written communication skills, including the ability to communicate specialized information to diverse audiences.
• Ability to apply analytical reasoning and sound judgement to interpret complex information, identify trends and underlying issues, evaluate alternative solutions, and develop innovative approaches to improve processes and decision-making.
• Proficiency in research and data analysis with close attention to detail and problem-solving skills.
• Ability to lead and develop staff, including setting clear expectations, providing coaching and feedback, and fostering a high-performing, inclusive team culture.

WORKING ENVIRONMENT AND PHYSICAL REQUIREMENTS:

The work environment and physical demands described here are representative of those required by an employee to perform the essential functions of this job with or without reasonable accommodations.

The work environment is a typical office environment with minimal exposure to excessive noise or adverse environmental issues.

CAREER MAP:

We are considering all applications for this position up until the position close date of 9/24/2026 at 11:59 PM MT. For consideration, please be sure to apply before the posting end date.

Pay Range:

$129,870.00 - $183,441.75 Annual

EEO POLICY AND ADA ACCOMMODATIONS

RTD is proud to be an Equal Opportunity Employer, supporting diversity, equity, and inclusion in the workplace. All applicants will be considered for employment regardless to the race, sex, disability status or any other characteristic protected by law and we encourage candidates from all identities, backgrounds, and abilities to apply. Therefore, in all aspects of the employment process, we provide employment opportunities to all qualified applicants without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity or expression, pregnancy, medical condition related to pregnancy, creed, ancestry, national origin, marital status, genetic information, or military status, or any other protected status in accordance with applicable law. RTD is committed to the full inclusion of all qualified individuals. As part of this commitment, our agency will assist individuals who have a disability with any reasonable accommodation requests related to employment, including completing the application process, interviewing, pre-employment testing, participating in the employee selection process, promotions, and/or to perform essential job functions where the requested accommodation does not impose an undue hardship. If you have a disability and require a reasonable accommodation, please reach out to our Employment ADA Coordinator Kris Frazier at adarequests@rtd-denver.com, or the Talent Acquisition team rtd.ta@rtd-denver.com.

To learn more or see our EEO policy, please visit our EEO page at: https://www.rtd-denver.com/open-records/reports-and-policies/eeo-policy

RTD posts a compensation range that represents a good faith estimate of what RTD anticipates paying for the position at the time of posting. Starting salary is based on the candidate’s relevant and verified education, training and work experience. Applicants should submit all relevant and verifiable education, training and work experiences at the time of application.