LMI is seeking a Senior AI and Agile Transformation Lead who is a deep subject-matter expert and thought leader in the effective use of artificial intelligence. The individual will help guide PMOD’s AI strategy and adoption; bring broad experience designing and implementing AI solutions for government customers; identify high-value AI opportunities; and educate stakeholders on AI capabilities, functionality, risks, and practical applications. The individual should also have a strong understanding of AI activities and capabilities across CBP, including the roles and efforts of relevant offices. They must be able to collaborate effectively across CBP and remain current on applicable AI guidance, governance processes, procedures, and implementation requirements. This position requires U.S. citizenship and the ability to obtain a CBP Background Investigation (BI) is required; active CBP BI preferred.

LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.

Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors—helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.

• Lead the development, refinement, and execution of PMOD’s artificial intelligence strategy, adoption approach, and implementation roadmap.
• Serve as a senior AI subject-matter expert and trusted advisor to PMOD leadership, program teams, and stakeholders across CBP.
• Identify, evaluate, and prioritize high-value AI use cases that support mission outcomes, operational efficiency, decision support, and technology modernization.
• Advise stakeholders on practical AI capabilities, limitations, risks, governance considerations, and responsible implementation practices.
• Design and support the implementation of AI solutions for government customers, including requirements definition, solution architecture, pilot execution, evaluation, scaling, and sustainment.
• Maintain awareness of CBP AI activities, capabilities, governance structures, and relevant office roles to promote coordination and reduce duplicative efforts.
• Collaborate with business, technical, cybersecurity, privacy, legal, procurement, data, and program-management stakeholders to ensure AI initiatives align with applicable policies, procedures, governance processes, and implementation requirements.
• Monitor evolving federal, DHS, and CBP AI guidance and translate applicable requirements into practical program recommendations and delivery actions.
• Develop executive-ready briefings, decision papers, recommendations, dashboards, and reports that clearly communicate AI opportunities, implementation status, risks, benefits, and resource needs.
• Educate and enable stakeholders through briefings, workshops, demonstrations, and other engagement activities focused on AI concepts, tools, use cases, risks, and adoption practices.

Agile Transformation and Delivery Responsibilities

• Lead Agile transformation efforts and provide scaled Agile delivery leadership for complex technology programs and cross-functional teams.
• Establish, launch, mature, or restructure Agile Release Trains (ARTs) and supporting delivery structures, as appropriate.
• Plan, facilitate, and continuously improve Program Increment (PI) Planning events, Inspect and Adapt sessions, Scrum of Scrums, ART syncs, and other scaled Agile ceremonies.
• Coach Product Owners, Scrum Masters, delivery teams, technical leads, and government stakeholders on SAFe principles, Agile roles, ceremonies, planning practices, and continuous-improvement methods.
• Establish and maintain delivery cadences, governance practices, performance metrics, reporting processes, and escalation mechanisms for Agile programs.
• Manage cross-team dependencies, delivery risks, impediments, and stakeholder issues to support predictable, integrated delivery.
• Use Agile lifecycle management tools, such as Jira and Azure DevOps, to support backlog management, planning, dependency tracking, delivery reporting, and performance analysis.
• Apply flow metrics, capacity planning, forecasting, and delivery-performance data to identify improvement opportunities and inform leadership decisions.
• Promote integration of Agile delivery practices with DevSecOps, automated testing, CI/CD pipelines, cybersecurity requirements, and quality-engineering practices.
• Support value-stream identification, ART design, organizational-readiness assessments, and change-management activities in evolving delivery environments.

Professional Experience

• Bachelor's degree in Information Technology, Computer Science, Engineering, Business Administration, or a related field; equivalent relevant experience may be considered.
• 8+ years of experience in Agile software delivery, technical program management, or enterprise technology delivery.
• 3+ years of experience serving as an RTE or equivalent Agile delivery leadership role in a scaled Agile environment.
• Demonstrated experience standing up a new ART, launching a major Agile transformation, or significantly restructuring an existing ART.
• Proven experience planning and facilitating PI Planning events involving multiple Agile teams and cross-functional stakeholders.
• Experience coaching Scrum Masters, Product Owners, and Agile delivery teams.
• Experience establishing delivery cadences, governance practices, metrics, and program-level reporting.
• Experience managing cross-team dependencies, delivery risks, and complex stakeholder relationships.
• Strong understanding of software development lifecycles, Agile planning, integration, testing, and release management.

Required Certifications

• SAFe Release Train Engineer (RTE) certification.
• SAFe Agilist (SA) certification or equivalent demonstrated SAFe knowledge.

Technical and Methodological Competencies

• Strong working knowledge of SAFe principles, roles, events, and ART execution practices.
• Experience using Agile lifecycle management platforms such as Jira, Azure DevOps, or similar tools.
• Understanding of Agile flow metrics, capacity planning, forecasting, and delivery performance management.
• Familiarity with DevSecOps, continuous integration/continuous delivery (CI/CD), and modern software engineering practices.
• Ability to translate complex delivery information into concise, actionable executive-level reporting.
• Strong facilitation, coaching, conflict resolution, and organizational change management skills.

Preferred Qualifications

• SAFe Practice Consultant (SPC) certification.
• Experience establishing ARTs within federal government, Department of Defense, or other complex mission-focused organizations.
• Experience working in environments with multiple contractors, government stakeholders, and distributed Agile teams.
• Familiarity with government program management, contractual deliverables, cybersecurity requirements, and compliance-driven delivery environments.
• Experience establishing ART performance dashboards using Power BI, Jira, Azure DevOps, or comparable reporting tools.
• Experience integrating Agile delivery with automated testing, DevSecOps pipelines, and quality engineering practices.
• Demonstrated ability to support value stream identification, ART design, and organizational readiness assessments.
• Experience supporting Agile transformation initiatives where organizational structures, team responsibilities, and delivery processes are still evolving.
• U.S. citizenship and ability to obtain a CBP Background Investigation (BI) is required; active CBP BI preferred.

Target salary range: $170,000 - $205,000

Disclaimer: 

The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.