Senior Technical Task Lead - Artificial Intelligence & Digital T

Are you a dynamic leader with a passion for driving digital transformation and adoption of artificial intelligence in cutting-edge research environments? We are seeking a Senior Technical Task Lead with experience in Artificial Intelligence (AI) & Digital Transformation efforts to become the face of our critical contract supporting the Air Force Research Laboratory (AFRL) Digital Capabilities Directorate. This role is perfect for a strategic thinker and proactive problem solver who thrives on innovation and collaboration.

Responsibilities:

Leadership & Strategic Management

• Act as the primary on-site liaison between AFRL stakeholders and our talented team, ensuring seamless communication and project alignment.
• Drive program success by participating in strategic meetings and maintaining robust relationships with government and contractor personnel.
• Lead the coordination of diverse AI talent and engineering resources across multiple AFRL organizations and technical directorates.

Technical Excellence & Innovation

• Champion the delivery of high-quality AI solutions that propel research, experimentation, and innovation initiatives.
• Guide cross-functional teams in providing expert support across key technical areas, ensuring alignment with AFRL's mission and goals.

Reporting & Compliance

• Deliver timely and insightful reports on project progress and outcomes to key stakeholders.
• Ensure compliance with all contractual and documentation requirements, maintaining excellence in project execution.

People & Resource Management

• Lead Stakeholder Engagements and work collaboratively with a diverse set of functionals (engineering, scientists, researchers, program managers, etc.)
• Foster a stable and high-performing team environment with a focus on rapid personnel deployment and effective onboarding.
• Collaborate with our corporate and technical leads to address staffing needs and minimize turnover.

Requirements:

• Active Secret clearance with the Ability to obtain Top Secret clearance within 30 days of notification

• 10+ years of experience in either commercial or government settings delivering AI/ML project support and technical leadership to a wide range of stakeholders

• Minimum 5+ years of direct experience working with AFRL in technical or program management capacity

• Experience working in secure government research environments

• Knowledge of NISPOM, OPSEC, and AFRL-specific security protocols

• Understanding of Science & Technology Protection Plans

• Exceptional program management and leadership skills in AFRL context

• Strong written and verbal communication abilities with government stakeholders

• Experience managing cross-functional, geographically distributed teams

• Proven ability to work with AFRL senior leadership and technical personnel

• Understanding and proficiency in key AFRL's mission areas, including Digital Transformation, Agile Development; Artificial Intelligence; Modeling & Simulation; Software Engineering; Cyber Security; Testing - DT&E & OT for AI systems; Data Collection & Analysis; Risk Management; Systems Engineering, Security, Maintenance & Sustainment . While expertise in all areas is not mandatory, a strong ability to identify and leverage internal resources is essential.

• Demonstrated understanding of AFRL organizational structure, culture, and operational requirements

• Proven track record of successful project delivery within AFRL environment

• Established relationships with AFRL technical and functional directorate

Preferred:

• Master's degree in relevant technical field

• Experience with multiple AFRL directorates and programs

• Experience with AFRL's Digital Capabilities Directorate specifically

• Certifications in PMP, Agile, or other relevant project management certification

• Background in defense research and development acquisition processes

• Knowledge of Air Force Research and Development planning processes

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), national origin, disability, veteran status, age, genetic information, or other legally protected status.