Chief Digital and Artificial Intelligence Officer (CDAO) - SOF GLSS 2 Program

This position is contingent upon contract award.

Position Summary

The Chief Digital and Artificial Intelligence Officer (CDAO) for the SOF GLSS program provides strategic leadership and operational oversight for all digital modernization, data integration, and AI/ML initiatives supporting U.S. Special Operations Command (USSOCOM). This executive role drives enterprise-wide digital transformation, ensuring data-driven decision-making, mission-aligned AI capabilities, and secure, scalable technology solutions across aviation, ground, and maritime sustainment platforms. The CDAO serves as a key advisor to program leadership, government stakeholders, and technical teams, ensuring digital initiatives are executed with precision, innovation, and compliance.

Key Responsibilities

• Lead the development and execution of the SOF GLSS digital transformation roadmap, aligning with USSOCOM's data and AI strategy.
• Oversee enterprise data governance, ensuring data integrity, accessibility, and security across all mission systems.
• Direct AI/ML solution development for predictive maintenance, logistics optimization, and operational readiness.
• Collaborate with program managers, IT, and engineering teams to integrate digital capabilities into lifecycle sustainment operations.
• Ensure compliance with DoD data policies, cybersecurity frameworks (e.g., RMF, CMMC), and ethical AI guidelines.
• Serve as the primary liaison with USSOCOM's Chief Data and AI Office, ensuring alignment with command-wide digital priorities.
• Evaluate and implement emerging technologies (e.g., edge computing, digital twins, RPA) to enhance mission effectiveness.
• Lead cross-functional teams in agile development cycles, DevSecOps practices, and cloud-native solution delivery.
• Oversee digital performance metrics, dashboards, and reporting to inform leadership and drive continuous improvement.
• Support digital workforce development through training, upskilling, and change management initiatives.
• Manage vendor relationships and technology partnerships to accelerate innovation and ensure interoperability.
• Escalate digital risks and opportunities to executive leadership, providing strategic recommendations for resolution.

Qualifications

• Bachelor's degree in Computer Science, Data Science, Engineering, or related field (Master's or MBA preferred).
• 10+ years of progressive experience in digital transformation, data strategy, or AI/ML leadership roles, preferably supporting DoD or USSOCOM programs.
• Proven experience leading enterprise data and AI initiatives in a defense or government contracting environment.
• Deep understanding of DoD data strategy, AI ethical principles, and digital modernization frameworks.
• Familiarity with cloud platforms (e.g., AWS GovCloud, Azure Government), data lakes, and AI/ML toolchains.
• Strong knowledge of cybersecurity compliance (e.g., NIST 800-53, CMMC, RMF) and data governance best practices.
• Excellent communication skills, with the ability to translate technical concepts into mission impact.
• Proficiency with data visualization, analytics platforms (e.g., Power BI, Tableau), and AI development tools (e.g., Python, TensorFlow, SageMaker).
• Ability to travel to CONUS and OCONUS locations as required.

Preferred Certifications

• Certified Chief Information Security Officer (CCISO) or Certified Information Systems Security Professional (CISSP)
• Certified Analytics Professional (CAP) or equivalent AI/ML certification
• Project Management Professional (PMP) or SAFe Agile certification
• DoD 8570-compliant cybersecurity certifications (e.g., Security+, CEH)

Employee benefits include the following:

• Healthcare coverage
• Life insurance, AD&D, and disability benefits
• Retirement plan
• Wellness programs
• Paid time off, including holidays and leave of absences
• Eligible Tuition Reimbursement
• Learning and Development resources
• Employee assistance resources

Pay and benefits are subject to change at any time and may be modified at the discretion of the company, consistent with the terms of any applicable compensation or benefit plans.