SENIOR ADVISOR CHIEF DIGITAL AND ARTIFICIAL INTELLIGENCE OFFICER

U.S. Department of Defense; Quantico (VA); On-site; USD 90,000 - 130,000; Full time

Job summary

The U.S. Department of Defense is seeking an information technology professional to advance enterprise data management, architecture, and governance across the agency.

This senior role emphasizes standardized data workflows, policy development, and ensuring data is visible, trustworthy, and secure across systems. You will lead AI/ML integrations into enterprise operations, establish governance for rapid yet responsible deployment, and deliver digital services enabling multi-stakeholder solutions

Qualifications

• IT-related experience meeting the four competencies: attention to detail, customer service, oral communication, problem solving.
• Proven expertise in data management strategy, governance and data architecture.

Responsibilities

• Lead enterprise data standardization efforts and policy development to guarantee data visibility and interoperability.
• Drive AI/ML integration into enterprise operations with governance for rapid, responsible deployment.

Skills

Data governance

AI governance

Job description

TECHNICAL QUALIFICATIONS (TQs):

The Defense Counterintelligence and Security Agency (DCSA) is a separate Agency of the Department of War (DoW) under the direction, authority, and control of the Under Secretary of War for Intelligence and Security (USW (I&S)). This position is placed in the Office of the Chief Information Officer (CIO) and reports to the Chief Information Officer.

There is NO requirement to prepare a narrative statement specifically addressing the Technical Qualifications (TQs). However, to meet the minimum qualification requirements for this position, you must show that you possess the TQS within your resume - NOT TO EXCEED 2 PAGES. Resumes over the 2-page limit, will be disqualified.

Technical Qualifications:

1. Demonstrated expert-level experience in establishing, implementing, and continuously evolving an enterprise-wide data management strategy, data architecture, and governance framework. This includes leading repeatable data standardization efforts, designing data workflows aligned with the Federal Data Lifecycle, and establishing formal policies to guarantee that large-scale agency data is visible, accessible, linked, trustworthy, interoperable, and secure.
2. Demonstrated technical expertise in leading the integration of Artificial Intelligence (AI), Machine Learning (ML), and advanced analytics capabilities into enterprise operations. This includes directing the exploration of data to uncover trends and opportunities for automation, establishing rigorous AI governance frameworks to ensure rapid and responsible technology adoption, and delivering enabling digital services to support multi-stakeholder solution deployment.

Requirements for the 2210 series as listed below:

Experience must be IT related; the experience may be demonstrated by paid or unpaid experience and/or completion of specific, intensive training (for example, IT certification), as appropriate. For all positions individuals must have IT-related experience demonstrating each of the four competencies listed below.

• Attention to Detail - Is thorough when performing work and conscientious about attending to detail.
• Customer Service - Works with clients and customers (that is, any individuals who use or receive the services or products that your work unit produces, including the general public, individuals who work in the agency, other agencies, or organizations outside the Government) to assess their needs, provide information or assistance, resolve their problems, or satisfy their expectations; knows about available products and services; is committed to providing quality products and services.
• Oral Communication - Expresses information (for example, ideas or facts) to individuals or groups effectively, taking into account the audience and nature of the information (for example, technical, sensitive, controversial); makes clear and convincing oral presentations; listens to others, attends to nonverbal cues, and responds appropriately.
• Problem Solving - Identifies problems; determines accuracy and relevance of information; uses sound judgment to generate and evaluate alternatives, and to make recommendations.