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This Government Contract opportunity from Government of Canada was posted on May 14, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

Enterprise Data Strategy and Data Solutions Development

Closed
Canada

Contract Overview

Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

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NAICS: 541519
New
Integration with Permitting and Licensing SystemsThe contract seeks the implementation of API-level integrations between NSPIRE NextGen and external permitting and licensing systems as a single, non-recurring deliverable. This effort is aimed at enabling seamless data exchange between HUD’s housing compliance platform and third-party government databases that manage building permits and licensing records, improving efficiency and accuracy in regulatory compliance reporting. The work is classified under NAICS code 541519, indicating it falls within other computer-related services, and is structured as a subcontract under the Department of Housing and Urban Development’s Office of the Chief Information Officer. Performance is expected to occur in Washington, D.C., with a zip code of 20410, reflecting the central administrative location of the procuring agency. The solicitation was posted on June 29, 2026, with a firm response deadline of July 10, 2026, at 6:00 PM Eastern Time, indicating a tight turnaround for proposers to submit qualified bids. The contract does not specify a set-aside status or organization type restrictions, meaning it is open to any eligible subcontractor. Though no point of contact is listed, potential responders can access further details through the eBuy portal at the provided URL. The initiative is part of HUD’s broader modernization goals to digitize and automate regulatory workflows, with this integration serving as a foundational step toward interoperability across federal housing and community development systems.
Department of Housing and Urban Development

POSTED

about 17 hours ago

DEADLINE

in 10 days

AI Contract Overview

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The contract seeks a subcontractor to design and implement enterprise data architectures, data governance frameworks, and integration solutions that align with federal data standards. The work will focus on developing scalable and compliant data systems to support the operational and strategic needs of the Parks Canada Agency within the Government of Canada. The scope emphasizes the creation of robust data management capabilities that ensure consistency, security, and interoperability across federal data ecosystems, requiring deep expertise in enterprise data strategy and adherence to government-wide data policies. The opportunity is posted under NAICS code 541519 and is classified as a subcontract, with a response deadline of June 11, 2026. Performance is expected to be centered in the National Capital Region. The contract does not specify any set-aside provisions or eligibility criteria, and no point of contact is listed. Interested parties must submit proposals via the Government of Canada’s procurement portal before the deadline to be considered for award.

General Info

Designing federal-compliant enterprise data architectures and governance for Parks Canada in NCR.

Agency

Government of Canada → Parks Canada AgencyView Agency

NAICS

541519 - Other Computer Related ServicesView NAICS

Place of Performance

National Capital Region (NCR), CAN

Set-Aside

NONE

Documents

(0)

No documents available

AI Contract Breakdown

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Timeline

PhaseClosed
Posted

subcontract

Response Deadline

Deadline has passed

Submission Closed

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Organization & Contact Information

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AgencyGovernment of Canada → Parks Canada Agency
ContactsNo contacts available
OfficeN/A
Organization / Agency
Government of Canada → Parks Canada Agency
View Agency Profile
Office AddressN/A
ContactsNo contact information available

Full Description

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Design and implement enterprise data architectures, data governance frameworks, and integration solutions aligned with federal data standards.