Senior AI and Agile Transformation Lead

LMI•Washington, DC

11d•$170,000 - $205,000

About The Position

LMI is seeking a Senior AI and Agile Transformation Lead to guide PMOD’s artificial intelligence strategy and adoption. The role serves as a senior AI subject-matter expert and advisor, bringing experience designing and implementing AI solutions for government customers. The lead identifies high-value AI opportunities, educates stakeholders on AI capabilities and risks, and coordinates with stakeholders across CBP. The position requires awareness of CBP’s AI activities, governance structures, applicable guidance, and implementation requirements. The position also provides scaled Agile transformation and delivery leadership for complex technology programs and cross-functional teams. Responsibilities include establishing or restructuring Agile Release Trains, leading Agile ceremonies and planning, coaching teams and stakeholders, managing delivery governance and dependencies, and using delivery metrics and lifecycle management tools to support predictable outcomes. The role promotes integration with DevSecOps, automated testing, CI/CD, cybersecurity, and quality engineering practices. The position is based in Washington, DC. U.S. citizenship and the ability to obtain a CBP Background Investigation are required; an active CBP BI is preferred. The target salary range is $170,000–$205,000.

Requirements

Bachelor’s degree in Information Technology, Computer Science, Engineering, Business Administration, or a related field; equivalent relevant experience may be considered.
At least 8 years of experience in Agile software delivery, technical program management, or enterprise technology delivery.
At least 3 years of experience as an RTE or in an 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.
SAFe Release Train Engineer (RTE) certification.
SAFe Agilist (SA) certification or equivalent demonstrated SAFe knowledge.
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, 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.
U.S. citizenship and ability to obtain a CBP Background Investigation.

Nice To Haves

SAFe Practice Consultant (SPC) certification.
Experience establishing ARTs within federal government, Department of Defense, or other complex mission-focused organizations.
Experience working 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 transformations where organizational structures, team responsibilities, and delivery processes are evolving.
Active CBP Background Investigation.

Responsibilities

Lead the development, refinement, and execution of PMOD’s AI strategy, adoption approach, and implementation roadmap.
Serve as a senior AI subject-matter expert and trusted advisor to PMOD leadership, program teams, and CBP stakeholders.
Identify, evaluate, and prioritize high-value AI use cases that support mission outcomes, operational efficiency, decision support, and technology modernization.
Advise stakeholders on AI capabilities, limitations, risks, governance, and responsible implementation practices.
Design and support implementation of government AI solutions, from requirements definition and solution architecture through piloting, evaluation, scaling, and sustainment.
Maintain awareness of CBP AI activities, capabilities, governance structures, and office roles to promote coordination and reduce duplication.
Collaborate with business, technical, cybersecurity, privacy, legal, procurement, data, and program-management stakeholders to align AI initiatives with applicable requirements.
Monitor evolving federal, DHS, and CBP AI guidance and translate requirements into practical recommendations and delivery actions.
Develop executive briefings, decision papers, recommendations, dashboards, and reports on AI opportunities, status, risks, benefits, and resource needs.
Educate stakeholders through briefings, workshops, demonstrations, and other engagement activities focused on AI concepts, tools, use cases, risks, and adoption.
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 and supporting delivery structures as appropriate.
Plan, facilitate, and improve 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, and continuous improvement.
Establish and maintain delivery cadences, governance practices, performance metrics, reporting processes, and escalation mechanisms.
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 for backlog management, planning, dependency tracking, reporting, and performance analysis.
Apply flow metrics, capacity planning, forecasting, and delivery-performance data to identify improvements and inform leadership decisions.
Promote integration of Agile delivery 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 in evolving delivery environments.