Performance Work Statement - DAMES IDIQ - Draft

FA7014‐XX-X-XXXX

PERFORMANCE WORK STATEMENT

FOR

Data & AI Mission Expert Services (DAMES) IDIQ
AT

PENTAGON

28 September 2026

DRAFT

FA7014‐XX-X-XXXX

1.0

1.1

1.2

2.1

2.2

2.3

2.4

2.5

2.6

2.6.1

5.0
GOVERNMENT FURNISHED PROPERTY, EQUIPMENT, MATERIAL,
5.1

Government Furnished Property, Equipment, Material, Information, or Services. .. 15

FA7014‐XX-X-XXXX

1.0

2.0

FA7014‐XX-X-XXXX

SECTION I

1.0 DESCRIPTION OF SERVICES

1.1 General. The Department of the Air Force Chief Data and Artificial Intelligence (AI) Officer (DAF CDAO in SAF/CND), pursuant to 10 U.S.C. § 9014 and 44 U.S.C. § 3520, and as authorized by Headquarters Air Force Mission Directives (HAF MDs), assists the Secretary of the Air Force (SecAF), Chief of Staff of the Air Force (CSAF), and Chief of Space Operations (CSO) in leading, reviewing, and ensuring the optimization of data and Artificial Intelligence (AI) integration across all domains. To support these statutory and operational mandates, the DAF CDAO requires highly specialized Subject Matter Expert (SME) support. This Data & AI Mission Expert Services (DAMES) contract will provide advanced data analytics and AI integration to support the warfighting and business missions of the DAF. 1.1.1 Scope. The scope of this effort is to provide SMEs to perform data preparation, data architecture, agile algorithm solutions, data governance, and conduct data analytics using stateof-the-art mathematical, machine learning, and comprehensive AI techniques. 1.2 Background. This requirement is derived from DAF CDAO Mission Directives and Data and AI Strategies mandating the broader DAF community to utilize data and AI as strategic assets. The DAF CDAO's primary role is to ensure that timely high-quality data and AI capabilities are available to internal and external stakeholders in order to fulfill mission requirements. Guided by Visible, Accessible, Understandable, Linked, Trustworthy, Interoperable, and Secure (VAULTIS) data principles DAF CDAO is pursuing the creation of a robust and agile data ecosystem to empower decision-makers at all echelons, treating data as a strategic asset accessible by self-service tools. The DAF’s data landscape is being modernized by streamlining data discovery and accessibility, enhancing data trust and interoperability, and increasing data-driven decision-making. Likewise, the DAF is moving to an AI-first force leveraging intelligent automation, predictive analytics, and autonomous capabilities made possible by the proliferation of big data, cloud computing, and deep learning which requires a