Senior AI and Agile Transformation Lead

LMI•Washington, DC

10d

About The Position

LMI is seeking a senior artificial intelligence and Agile transformation expert to guide PMOD’s AI strategy and adoption and lead scaled Agile delivery efforts. The role advises PMOD leadership, program teams, and stakeholders across CBP on AI opportunities, capabilities, limitations, risks, governance, and responsible implementation. It supports the design and implementation of government AI solutions from requirements and architecture through piloting, evaluation, scaling, and sustainment, while coordinating with relevant CBP offices and monitoring applicable federal, DHS, and CBP guidance. The position also leads Agile transformation and scaled delivery for complex technology programs and cross-functional teams. Responsibilities include establishing or restructuring Agile Release Trains (ARTs), facilitating Program Increment (PI) Planning and other scaled ceremonies, coaching Agile roles and stakeholders, managing dependencies and delivery risks, and applying delivery metrics and lifecycle-management tools to improve predictability and performance. The role promotes integration with DevSecOps, automated testing, CI/CD, cybersecurity, and quality engineering, and supports value-stream identification, organizational readiness, and change management. A bachelor’s degree in a relevant field is required, though equivalent relevant experience may be considered. Candidates need at least eight years of relevant delivery experience and three years in an RTE or equivalent scaled Agile leadership role, along with SAFe RTE certification and SAFe Agilist certification or equivalent knowledge. U.S. citizenship and the ability to obtain a CBP Background Investigation are required; an active CBP BI is preferred. The position is located in Washington, DC. 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 establishing a new ART, launching a major Agile transformation, or significantly restructuring an existing ART.
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 (BI).

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 (BI).

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 stakeholders across CBP.
Identify, evaluate, and prioritize AI use cases that support mission outcomes, operational efficiency, decision support, and technology modernization.
Advise stakeholders on AI capabilities, limitations, risks, governance considerations, and responsible implementation practices.
Design and support government AI solutions through 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 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 communicating AI opportunities, status, risks, benefits, and resource needs.
Educate stakeholders through briefings, workshops, demonstrations, and other engagement activities on AI concepts, tools, use cases, risks, and adoption practices.
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, 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, 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 practices with DevSecOps, automated testing, CI/CD pipelines, cybersecurity requirements, and quality engineering.
Support value-stream identification, ART design, organizational-readiness assessments, and change-management activities.