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# Agile Scrum Master/Technical Program Manager

- **Company:** LMI
- **Location:** Tysons, VA, United States
- **Experience:** Expert
- **Salary:** $145,000.0 - $185,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, JIRA, Microsoft Azure, Custom Software, Rapid Prototyping Process, Service Design, Information Technology, Low-code
- **Published:** September 30, 2026
- **Apply:** https://careers-lmi.icims.com/jobs/14649/agile-scrum-master-technical-program-manager/job?mode=apply&apply=yes&in_iframe=1&hashed=-336058770

## About the Role

* Bachelor's degree in business, information technology, engineering, product management, or a related field; equivalent experience may be considered.
 * 8+ years in Agile delivery, technical program management, innovation delivery, product operations, or related work.
 * Experience managing intake pipelines, experiments, prototypes, or rapidly changing portfolios beyond standard sprint administration.
 * Strong backlog, dependency, capacity, flow-metric, facilitation, and stakeholder-management skills.
 * Recommended certification: CSM, PSM, PMI-ACP, SAFe, or comparable Agile delivery credential.
 * Ability to satisfy VA personnel vetting and applicable security, privacy, records, and data-handling requirements.
 * Demonstratedability to apply Agile, Lean, Kanban, or product-delivery practices outside a conventional software sprint model and tailor the method to exploratory work.
 * Experience using flow measures such as cycle time, throughput, work-in-progress, blocked time, and backlog aging to diagnose constraints and improve delivery performance.
 * Strong workshop leadership and decision-facilitation skills with senior business, mission, technical, and government stakeholders who may begin with different assumptions or priorities.
 * Experience partnering with product, HCD/UX, data, engineering, architecture, security, and domain specialists to structure discovery without taking over their subject-matter responsibilities.
 * Ability to turn ambiguous requests into clear next steps, decision questions, owners, timeboxes, and evidence needs whilemaintaininga lightweight operating cadence., * 10+ years coordinating multidisciplinary federal modernization, innovation, data, or product-delivery work.
 * Experience with rapid prototyping, automation, low-code/no-code, HCD research, or measurement-driven pilots.
 * Advanced use of Jira, Azure DevOps, Kanban analytics, or comparable portfolio-flow tooling.
 * Additionalcertification in product management, Lean, design thinking, or technical program management is preferred.
 * Experience in innovation labs, rapid capability development, service design, research-to-prototype environments, or other settings where teams must learn quickly before committing to full implementation.
 * Technical fluency in data, automation, AI-enabled capabilities, APIs, cloud, or low-code platforms sufficient to recognize common feasibility and dependency questions early.
 * Experiencefacilitatingdemonstrations, discovery reviews, innovation showcases, or executive decision sessions where the objective is learning and disposition rather than feature delivery.
 * Product discovery, design-thinking, Lean Startup, service-design, or innovation-management training is useful when paired with strong delivery discipline.

## Description

* Manage intake, prioritization, backlog flow, work-in-progress, and delivery cadence for rapid-turn initiatives.
 * Coordinate discovery, experiments, prototypes, proof-of-concepts, decision points, and handoffs.
 * Track cycle time, throughput, backlog aging, blockers, dependencies, and available capacity.
 * Bring HCD, clinical, data, architecture, engineering, governance, security, change, and QA specialists into work at the right time.
 * Facilitate planning, refinement, reviews, retrospectives, and decision sessions for mixed innovation work.
 * Keep evidence, assumptions, risks, ownership, and technical feasibility visible before work advances.
 * Promote reuse and configuration before custom development and capture reusable lessons for future VA initiatives.
 * Provide concise status, capacity, risk, and demand inputs for program reporting.
 * Design and operate a transparent intake and triage process that captures the problem, intended user, expected value, constraints, ownership, and immediate evidence needs for new requests.
 * Define lightweight experiment plans, hypotheses, success measures, exit criteria, timeboxes, and decision check points appropriate to the maturity and risk of each initiative.
 * Forecast near-term specialist demand and capacity, sequence shared resources across concurrent efforts, and surface resource conflicts before they stall progress.
 * Ensure promising concepts leave rapid discovery with clear evidence, documented assumptions, reusable artifacts, ownership, and an appropriate path into further design, implementation, or sustainment.
 * Create concise decision packages for major checkpoints that summarize the hypothesis, evidence gathered, user feedback, technical findings, risks, cost or effort implications, and recommended next action.
 * Maintain a reusable record of experiments, patterns, decisions, and lessons learned so future teams can build on prior work rather than repeat the same discovery.


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