The Sr. Scrum Master leads Agile delivery for AI and data modernization projects, facilitates Agile ceremonies, manages teams, and ensures compliance with project governance standards.
            Who is Element?
We serve as a partner at the intersection of innovation and our clients' needs, efficiently crafting meaningful user experiences for government and commercial customers. By breaking complex problems down into their fundamental elements, we create modern digital solutions that drive efficiency, maximize taxpayer dollars, and deliver essential outcomes that serve the people. 
Why Work at Element?
Make an impact that resonates-join our vibrant team and discover how you can improve lives through digital transformation.  Our talented professionals bring unparalleled energy engagement, setting a higher standard for impactful work. Be a part of our team and shape a better future. 
Position Summary
Element is seeking a Sr. Scrum Master to support a state-level Artificial Intelligence and Data Modernization initiative. The ideal candidate will have extensive experience leading Agile delivery for complex, multi-team environments—particularly within government, public sector, or large-scale AI/data projects.  This individual will play a key role in ensuring that Agile principles are effectively applied to drive high-quality, value-driven outcomes in alignment with the technology modernization and AI adoption roadmap.
Key Responsibilities
- Facilitate Agile ceremonies (Daily Standups, Sprint Planning, Reviews, Retrospectives) across multiple teams delivering AI, machine learning, or data-focused solutions.
 - Partner with, analyst, and Technical Leads to refine product backlogs and prioritize deliverables aligned with agency goals.
 - Coach and mentor teams and stakeholders in Agile principles, frameworks (Scrum, Kanban, SAFe), and best practices.
 - Remove impediments, manage risks, and promote continuous improvement across teams and stakeholders.
 - Collaborate with the program director and technical teams to ensure compliance with project governance and reporting standards.
 - Track key Agile metrics (velocity, burndown, team capacity) and communicate progress to program leadership.
 - Foster a culture of transparency, accountability, and data-driven decision-making.
 - Support organizational change management and Agile maturity initiatives tied to AI adoption.
 - Facilitate sprint planning and delivery cycles that incorporate governance checkpoints, security validation, and accessibility reviews (WCAG 2.1, Section 508) before production release.
 - Coordinate cross-functional sprint teams to integrate FAIR-compliant data practices, ensuring transparency and traceability of datasets across development iterations.
 - Manage Agile delivery within sandbox and phased rollout environments, ensuring that testing, training, and adoption milestones align with MassTech’s oversight and approval process.
 - Track delivery metrics tied to program performance (e.g., sprint velocity, % acceptance test coverage, % FAIR validation success) and provide data-driven dashboards to program leadership.
 - Collaborate with governance and security leads to ensure sprint outcomes align with Zero Trust, AI fairness, and ethical AI principles embedded in project objectives.
 - Support multilingual content readiness and documentation workflows to promote accessibility and inclusivity across user communities and stakeholder groups.
 
Minimum Qualifications
- Bachelor’s degree in Computer Science, Information Systems, Business, or related field.
 - 8+ years of experience as a Scrum Master, Agile Project Manager, or Delivery Lead and 3+ years leading Agile delivery in AI, data analytics, or enterprise technology transformation projects.
 - Proven experience working within or alongside state or federal government agencies.
 - Strong knowledge of Agile frameworks (Scrum, Kanban, SAFe, LeSS) and related tools (JIRA, Azure DevOps, VersionOne).
 - Excellent written, communication, facilitation, and stakeholder management skills.
 - Ability to manage multiple teams and priorities in a matrixed environment.
 - Experience managing Agile delivery in regulated or compliance-driven environments (HIPAA, NIST, StateRAMP, or equivalent).
 - Familiarity with FAIR principles, accessibility standards (WCAG 2.1 Level AA), and inclusive design practices in Agile workflows.
 - Proven ability to facilitate sprint cycles supporting phased rollout, sandbox testing, and stakeholder validation in public-sector technology programs.
 - Certified Scrum Master (CSM, PSM I/II, or equivalent).Experience with Agile/Scrum methodologies.
 - US Citizenship or Permanent Residency required.
 - Must reside in the Continental US.
 - Depending on the government agency, specific requirements may include public trust background check or security clearance.
 
Preferred Qualifications
- Experience with AI model lifecycle management, data governance, or cloud platforms (AWS, Azure, GCP).Familiarity with state procurement and contracting environments.
 - SAFe Agialist (SA), PMI-ACP, or PMP certification.
 - Background in business process automation or data engineering environments.
 - Experience using Atlassian tools (Jira, Confluence) or equivalent Agile project management platforms.
 - Experience delivering Agile frameworks that integrate compliance, security, and ethical AI checkpoints into development pipelines.
 - Knowledge of metadata governance and data lifecycle management to support reproducible and auditable AI model development.
 
Location
Be in your Element. We are a remote-first company based in Washington, DC.
Element is an equal opportunity employer  All qualified applicants will receive consideration for employment without regard to age, ancestry, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, marital status, protected veteran status, or any other legally protected class. 
We believe in a world where solutions we build improve the lives of those who use them.
Top Skills
Agile
AWS
Azure
Azure Devops
GCP
JIRA
Kanban
Safe
Scrum
Versionone
Wcag 2.1
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