FA701421R0005 - VAULT Support IDIQ - Solicitation

The purpose of this contract is to obtain contracted subject matter expert support (SME) to advise on and/or perform: data preparation and architecture, development of agile algorithmic solutions, evaluate and/or execute data governance and data maturity models; and conduct data analytics using state of the art mathematical and machine learning/artificial intelligence techniques and other data analytic lines of research/effort aligned with Air Force enterprise guidance and governance.

This requirement is derived from the SAF/CO mission directive mandating the CDO and the broader Air Force community to utilize data as a strategic asset. The Air Force Chief Data Officer’s primary role is to ensure that timely high-quality data is available to internal and external stakeholders in order to fulfill mission requirements. SAF/CO Strategy Division is responsible for setting the vision and goals for change, and providing the enabling architecture, standards, governance, and inform AF-wide talent management plans that will empower Airmen and the systems they operate to leverage and act upon quality data at speed and scale. As such, they maintain and update the strategic framework for ensuring the AF data is secure, visible, accessible, understandable, linked, and trusted with and across every function, mission area, and domain of operations to deliver decision advantage. SAF/CO Operations Division is responsible for establishing and leveraging appropriate enterprise environment(s), and operating the resulting Air Force Data Lab to validate and mature processes to operationalize data. They work in collaboration with strategic partners to leverage data to support, enhance and execute the mission. They partner with appropriate analytic organizations to conduct unique use cases, peer review, programmatic development, and technological assessments to provide capabilities that inform the decision-making process and enable data-driven decisions. 

Amendment 01 includes Q&As as well as the resulting modified attachments.

The purpose of this contract is to obtain contracted subject matter expert support (SME) to advise on and/or perform: data preparation and architecture, development of agile algorithmic solutions, evaluate and/or execute data governance and data maturity models; and conduct data analytics using state of the art mathematical and machine learning/artificial intelligence techniques and other data analytic lines of research/effort aligned with Air Force enterprise guidance and governance.

This requirement is derived from the SAF/CO mission directive mandating the CDO and the broader Air Force community to utilize data as a strategic asset. The Air Force Chief Data Officer’s primary role is to ensure that timely high-quality data is available to internal and external stakeholders in order to fulfill mission requirements. SAF/CO Strategy Division is responsible for setting the vision and goals for change, and providing the enabling architecture, standards, governance, and inform AF-wide talent management plans that will empower Airmen and the systems they operate to leverage and act upon quality data at speed and scale. As such, they maintain and update the strategic framework for ensuring the AF data is secure, visible, accessible, understandable, linked, and trusted with and across every function, mission area, and domain of operations to deliver decision advantage. SAF/CO Operations Division is responsible for establishing and leveraging appropriate enterprise environment(s), and operating the resulting Air Force Data Lab to validate and mature processes to operationalize data. They work in collaboration with strategic partners to leverage data to support, enhance and execute the mission. They partner with appropriate analytic organizations to conduct unique use cases, peer review, programmatic development, and technological assessments to provide capabilities that inform the decision-making process and enable data-driven decisions. 

Questions are due to Lt Stoermer and Mr. Warren no later than 4 November 2020 @ 1600 EST.