Senior AI and Agile Transformation Lead

Xenith Solutions•Washington, DC

10d•$145,000 - $165,000

About The Position

Xenith Solutions is seeking a Senior AI and Agile Transformation Lead to support a government contract for the Department of Homeland Security. This senior subject-matter expert and thought leader will guide PMOD’s artificial intelligence strategy and adoption, identify high-value AI opportunities, advise stakeholders on AI capabilities and risks, and support the design and implementation of AI solutions for government customers. The role requires awareness of AI activities and governance across CBP, collaboration across relevant offices and stakeholder groups, and staying current with applicable federal, DHS, and CBP guidance and implementation requirements. The position also leads Agile transformation and scaled Agile delivery for complex technology programs and cross-functional teams. Responsibilities include establishing or restructuring Agile Release Trains, facilitating program-level planning and coordination events, coaching teams and stakeholders in SAFe practices, and improving delivery governance, metrics, and performance. The role uses Agile lifecycle management tools and delivery data to manage dependencies and risks, report to leadership, and integrate Agile practices with DevSecOps, cybersecurity, automated testing, CI/CD, and quality engineering. A bachelor’s degree in a related field is required, although equivalent relevant experience may be considered. SAFe Release Train Engineer certification and SAFe Agilist certification or equivalent demonstrated SAFe knowledge are required. U.S. citizenship and the ability to obtain a CBP Background Investigation are required; an active CBP Background Investigation is preferred.

Requirements

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

Nice To Haves

Active CBP Background Investigation (BI).
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.

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 high-value 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 implementation of government AI solutions, 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 align AI initiatives with applicable policies, procedures, governance processes, and implementation requirements.
Monitor evolving federal, DHS, and CBP AI guidance and translate applicable requirements into program recommendations and delivery actions.
Develop executive-ready briefings, decision papers, recommendations, dashboards, and reports communicating AI opportunities, implementation 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 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 continuously 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 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 for 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.