Chief Digital and Artificial Intelligence Officer (CDAO) - SOF GLSS 2 Program
Role details
Job location
Tech stack
Job description
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., * 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.
Requirements
- 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), Dashboard Cloud-Native Computing Python (Programming Language) Scalability Innovation Agile Methodology Predictive Maintenance Continuous Improvement Process Master Of Business Administration (MBA) Computer Science Ethical Standards And Conduct Microsoft Azure Technology Solutions Tableau (Business Intelligence Software) Amazon Web Services Artificial Intelligence Power BI Performance Metric Change Management Emerging Technologies Data Governance Data Integrity Data Integration Strategic Leadership Robotic Process Automation Project Management Professional Certification Data Science Machine Learning Data-Driven Decision Making Business Metrics Vendor Relationship Management Digital Transformation Employee Assistance Programs Solution Delivery Aviation CompTIA Security+ Government Contracting Data Visualization Data Lakes Data Strategy Upskilling Workforce Development SAFe Agile
Benefits & conditions
- 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. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. On-Site Communication Operations Leadership Cross-Functional Team Leadership, Cyber Security