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Data, Analytics, and Ai Capability Partner Tender - 142062743

The QUEENSLAND RAIL has issued a Tender notice for the procurement of a Data, Analytics, and Ai Capability Partner in the Australia. This Tender notice was published on 26 May 2026 and is scheduled to close on 18 Jun 2026, with an estimated Tender value of Refer Document. Interested bidders can access detailed Tender information, eligibility criteria, and complete bidding documents by referencing TOT Ref No. 142062743, while the tender notice number is VP511128 and Registering on the platform.

Procurement Summary

Country: Australia

Summary: Data, Analytics, and Ai Capability Partner

Deadline: 18 Jun 2026

Posting Date: 26 May 2026

Other Information

Notice Type: Tender

TOT Ref.No.: 142062743

Document Ref. No.: VP511128

Competition: ICB

Financier: Self Financed

Purchaser Ownership: Public

Tender Value: Refer Document

Purchaser's Detail

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Tender Details

Data, Analytics, and Ai Capability Partner
Queensland Rail is seeking to establish a partnership with a supplier for the ongoing provision of data, reporting, analytics, data and AI governance, and AI automation services. Queensland Rail is embarking on a digital transformation journey. Key to this journey are data, Artificial Intelligence (AI) and analytics capabilities and technologies that better enable Queensland Rail to leverage data as a strategic asset and AI as a strategic enabler. While Queensland Rail has foundational technologies in place (see Scope of Services, Attachment A), there is a growing requirement to leverage these technologies and mature organisational data capabilities.Supporting this transformation are internal Data & Automation and Data & AI Governance teams with the following high-level responsibilities:• Supporting the delivery of new and existing data, analytics, data & AI governance and AI capabilities and solutions.• Supporting internal teams in the production of data visualisations and data science initiatives.• Promoting the value of data, analytics and AI and driving an uplift in data and AI literacy.• Producing strategic and operational data, analytics and AI artefacts, roadmaps, standards and governance frameworks.• Safely and reliably implementing AI whilst upholding new and existing governance frameworks.These responsibilities need to be scaled in response to business demand and often involve new technologies. As such, there is a reliance on industry partners for assistance. There ...

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