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Asset Management and Maximo Role-Based Training Service

Chicago, IllinoisIllinoisDue Friday, June 26, 2026
Client
Chicago, Illinois
RFP Number
EDUCATION-17165
Posted
5/30/2026
Category
Subsistence, Education or Training Supplies and Services
Budget
Looking for Proposals
NAICS
Set-aside
Contact

Description

AI Generated

Metra, a government transit authority located in Chicago, Illinois, is seeking a vendor to provide asset management and Maximo role-based training services. The agency needs to identify gaps, usability issues, process inefficiencies, and opportunities for improvement to facilitate widespread adoption of the Maximo system. To achieve this, the agency requires a full evaluation of its asset management workflows and a plan to maintain and improve operational efficiency. The scope of work includes conducting interviews with subject matter experts and stakeholders across Metra's districts to gather insights. The selected vendor must develop a framework for delivering role-specific training to employee groups in various field locations at various hours. This training program must improve operational efficiency key performance indicators identified in a pre-training assessment and adhere to industry best practices, Metra policies, and all regulations. The project covers collaboration across multiple business units, including maintenance, capital, planning, budget, procurement, human resources, grants, information technology, risk, and safety. The agency requires a complete and accurate inventory of capital assets, including lifecycle details necessary to support maintenance, planning, and reporting. Requested delivery methods for the training include classroom instruction, simulations, job aides, on-the-job learning, and interactive e-learning modules. Eligible bidders must be onshore organizations based in the United States. Performance of the work may take place onsite or offsite. The contract period will span one year, and the agency is currently looking for proposals to establish the budget. Bidders must submit all questions no later than June 05, 2026.

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