Deputy PM Change Management

About the role

Koniag IT Systems LLC, a Koniag Government Services company, is seeking a Deputy PM/Change Management Lead with a TS/SCI security clearance to support KITS and our government customer at Langley Air Force Base, VA.

Responsibilities

• Serve as the primary alternate to the Contractor Program Manager (CPM), assuming full PM responsibilities during absences, leave, or surge periods
• Maintain comprehensive awareness of all program activities, milestones, risks, and stakeholder relationships to ensure seamless continuity
• Represent the contractor in government meetings, governance forums, and stakeholder engagements when CPM is unavailable
• Lead coordination with ACC Wings for training schedules, facility access, and on-site support visits
• Manage Mobile Training Team (MTT) deployment logistics, travel planning, and resource allocation
• Cook up and coordinate with Wing Points of Contact (POCs) to align adoption activities with operational tempo and mission priorities
• Facilitate cross-functional dependencies between training, technical, and support teams
• Identify and respond to surge requirements (e.g., major exercises, leadership transitions, compressed timelines)
• Mobilize additional resources and adjust priorities to meet critical mission windows
• Ensure no degradation of service during high-demand periods
• Monitor program risks and issues from a holistic perspective, identifying organizational and cultural barriers to success
• Escalate issues requiring CPM, COR, or CO involvement with recommended courses of action
• Build and maintain trusted relationships with Wing Commanders, Deputy Commanders, and Group Commanders across ACC
• Represent contractor interests in ACC governance bodies (Data/AI Councils, Change Control Boards) as directed by the CPM
• Design and document the comprehensive change management strategy for ACC-wide AI/RPA adoption, aligned with Prosci ADKAR methodology and Air Force culture
• Create the adoption framework that defines: Stakeholder engagement models (leadership, users, champions), Communication strategies and channels, Training and enablement approaches, Resistance management and mitigation tactics, Success metrics and feedback loops, Sustainment and continuous improvement processes
• Create standardized playbooks, toolkits, and templates are executable at ACC A3 Directorate and wing level
• Ensure framework is adaptable to diverse ACC A3 Directorate and wing cultures, mission sets, and operational environments
• Design and lead enterprise-wide adoption campaigns that build awareness, generate excitement, and drive engagement with AI/RPA capabilities
• Develop campaign themes, messaging, and visual identity in collaboration with Engagement & KM Specialist
• Create multi-channel campaign strategies (digital newsletters, posters, videos, leadership talking points, success stories)
• Establish campaign metrics and track effectiveness across the ACC A3 Directorate and wings
• Design and facilitate monthly ACC-wide user forums (virtual and in-person)
• Create agenda frameworks, discussion guides, and facilitation toolkits for forums
• Create and nurture a community of practice for AI/RPA users across ACC
• Design and facilitate quarterly solution-a-thons where cross-functional teams identify operational challenges and prototype AI/RPA solutions
• Develop event frameworks including: Problem statement definition and prioritization, Team formation and facilitation, Technical mentorship and support, Pitch and demo formats, Winner selection criteria and recognition
• Coordinate logistics, participant recruitment, and government SME involvement
• Track solution-a-thon outcomes and transition promising prototypes to development pipeline
• Identify pockets of resistance across ACC (individuals, units, or functional communities)
• Conduct root cause analysis to understand resistance drivers (fear, misunderstanding, cultural factors, workload concerns)
• Develop tailored interventions to address resistance: One-on-one engagement with skeptical leaders, Targeted education addressing misconceptions, Early involvement in solution design, Success story sharing from similar roles/units
• Monitor sentiment and adjust strategies based on feedback
• Develop and execute stakeholder engagement plans for key audiences: ACC A3 Directorate and Wing Commanders and Senior Leaders, Executive briefings, ROI discussions, strategic alignment, Group Commanders and Squadron Commanders, Operational integration, resource allocation, priority setting, Functional Leads (A1, A2, A3, A4, A5, A6), End Users (Airmen and Civilians), Training, support, community building, feedback collection, Champions and Early Adopters, Recognition, empowerment, peer advocacy
• Tailor messaging, communication channels, and engagement frequency to each audience
• Establish mechanisms to collect, analyze, and act on user feedback across all touchpoints
• Design and implement surveys, focus groups, and listening sessions
• Analyze adoption metrics, support tickets, and usage patterns to identify improvement opportunities
• Translate feedback into actionable recommendations for training, platform enhancements, or process changes
• Close the loop with users by communicating how their feedback drove improvements
• Position AI/RPA adoption as cultural evolution, not just technology deployment
• Foster a culture of experimentation, learning, and continuous improvement
• Address cultural barriers
• Position AI/RPA adoption as cultural evolution, not just technology deployment
• Foster a culture of experimentation, learning, and continuous improvement
• Address cultural barriers
• Position AI/RPA adoption as cultural evolution, not just technology deployment
• Foster a culture of experimentation, learning, and continuous improvement
• Address cultural barriers
• Position AI/RPA adoption as cultural evolution, not just technology deployment
• Foster a culture of experimentation, learning, and continuous improvement
• Address cultural barriers
• Position AI/RPA adoption as cultural evolution, not just technology deployment
• Foster a culture of experimentation, learning, and continuous improvement
• Address cultural barriers
• Position AI/RPA adoption as cultural evolution, not just technology deployment
• Foster a culture of experimentation, learning, and continuous improvement
• Address cultural barriers
• Position AI/RPA adoption as cultural evolution, not just technology deployment
• Foster a culture of experimentation, learning, and continuous improvement
• Address cultural barriers
• Position AI/RPA adoption as cultural evolution, not just technology deployment
• Foster a culture of experimentation, learning, and continuous improvement
• Address cultural barriers
• Position AI/RPA adoption as cultural evolution, not just technology deployment
• Foster a culture of experimentation, learning, and continuous improvement
• Address cultural barriers
• Position AI/RPA adoption as cultural evolution, not just technology deployment
• Foster a culture of experimentation, learning, and continuous improvement
• Address cultural barriers
• Position AI/RPA adoption as cultural evolution, not just technology deployment
• Foster a culture of experimentation, learning, and continuous improvement
• Address cultural barriers
• Position AI/RPA adoption as cultural evolution, not just technology deployment
• Foster a culture of experimentation, learning, and continuous improvement
• Address cultural barriers
• Position AI/RPA adoption as cultural evolution, not just technology deployment
• Foster a culture of experimentation, learning, and continuous improvement
• Address cultural barriers
• Position AI/RPA adoption as cultural evolution, not just technology deployment
• Foster a culture of experimentation, learning, and continuous improvement
• Address cultural barriers
• Position AI/RPA adoption as cultural evolution, not just technology deployment
• Foster a culture of experimentation, learning, and continuous improvement
• Address cultural barriers
• Position AI/RPA adoption as cultural evolution, not just technology deployment
• Foster a culture of experimentation, learning, and continuous improvement
• Address cultural barriers
• Position AI/RPA adoption as cultural evolution, not just technology deployment
• Foster a culture of experimentation, learning, and continuous improvement
• Address cultural barriers
• Position AI/RPA adoption as cultural evolution, not just technology deployment
• Foster a culture of experimentation, learning, and continuous improvement
• Address cultural barriers
• Position AI/RPA adoption as cultural evolution, not just technology deployment
• Foster a culture of experimentation, learning, and continuous improvement
• Address cultural barriers
• Position AI/RPA adoption as cultural evolution, not just technology deployment
• Foster a culture of experimentation, learning, and continuous improvement
• Address cultural barriers
• Position AI/RPA adoption as cultural evolution, not just technology deployment
• Foster a culture of experimentation, learning, and continuous improvement
• Address cultural barriers
• Position AI/RPA adoption as cultural evolution, not just technology deployment
• Foster a culture of experimentation, learning, and continuous improvement
• Address cultural barriers
• Position AI/RPA adoption as cultural evolution, not just technology deployment
• Foster a culture of experimentation, learning, and continuous improvement
• Address cultural barriers
• Position AI/RPA adoption as cultural evolution, not just technology deployment
• Foster a culture of experimentation, learning, and continuous improvement
• Address cultural barriers
• Position AI/RPA adoption as cultural evolution, not just technology deployment
• Foster a culture of experimentation, learning, and continuous improvement
• Address cultural barriers
• Position AI/RPA adoption as cultural evolution, not just technology deployment
• Foster a culture of experimentation, learning, and continuous improvement
• Address cultural barriers
• Position AI/RPA adoption as cultural evolution, not just technology deployment
• Foster a culture of experimentation, learning, and continuous improvement
• Address cultural barriers
• Position AI/RPA adoption as cultural evolution, not just technology deployment
• Foster a culture of experimentation, learning, and continuous improvement
• Address cultural barriers
• Position AI/RPA adoption as cultural evolution, not just technology deployment
• Foster a culture of experimentation, learning, and continuous improvement
• Address cultural barriers
• Position AI/RPA adoption as cultural evolution, not just technology deployment
• Foster a culture of experimentation, learning, and continuous improvement
• Address cultural barriers
• Position AI/RPA adoption as cultural evolution, not just technology deployment
• Foster a culture of experimentation, learning, and continuous improvement
• Address cultural barriers
• Position AI/RPA adoption as cultural evolution, not just technology deployment
• Foster a culture of experimentation, learning, and continuous improvement
• Address cultural barriers
• Position AI/RPA adoption as cultural evolution, not just technology deployment
• Foster a culture of experimentation, learning, and continuous improvement
• Address cultural barriers
• Position AI/RPA adoption as cultural evolution, not just technology deployment
• Foster a culture of experimentation, learning, and continuous improvement
• Address cultural barriers
• Position AI/RPA adoption as cultural evolution, not just technology deployment
• Foster a culture of experimentation, learning, and continuous improvement
• Address cultural barriers
• Position AI/RPA adoption as cultural evolution, not just technology deployment
• Foster a culture of experimentation, learning, and continuous improvement
• Address