Internship Junior Scrum Master Jobs (NOW HIRING)

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This role also drives continuous improvement across Agile delivery practices by using delivery metrics, team feedback, and operational insights to identify risks, improve planning, and strengthen execution. The IT Scrum Master II is expected to apply practical, hands-on experience with artificial intelligence tools to support backlog refinement, sprint forecasting, risk identification, retrospective analysis, and delivery reporting. This role contributes to the broader adoption of AI-enabled Agile practices by evaluating tools and recommending improvements that enhance team throughput, delivery quality, and Agile maturity across the IT organization. 

Job Functions:

Agile Facilitation 

• Serve as Scrum Master for multiple enterprise application development teams and cross-functional product squads.
• Facilitate Scrum ceremonies, including sprint planning, backlog refinement, daily stand-ups, sprint reviews, retrospectives, and feature planning.
• Guide teams in applying Scrum framework principles, Agile practices, and Love’s enterprise delivery standards.
• Identify, remove, and escalate impediments that impact team productivity, sprint commitments, or delivery timelines.
• Help protect sprint focus by managing scope changes, unplanned work, and competing priorities in partnership with Product Owners and delivery leaders. 

Team Coaching & Development 

• Coach team members and Product Owners on Agile principles, Scrum roles and responsibilities, and self-organization practices
• Actively grow Agile maturity across assigned teams; track progress and recommend targeted improvement actions
• Foster healthy team dynamics, psychological safety, and a culture of accountability and continuous learning
• Mentor junior team members and new Scrum practitioners on ceremonies, artifacts, and Agile mindset 

Backlog & Delivery Management 

• Partner with Product Owners and business stakeholders to ensure product backlogs are prioritized, organized, and supported by clear user stories and acceptance criteria.
• Support the translation of business objectives into epics, features, user stories, and sprint-ready work aligned to enterprise SDLC standards.
• Track, analyze, and report Agile delivery metrics, including velocity, sprint burndown, cumulative flow, cycle time, throughput, and team capacity.
• Support sprint planning and team capacity management to promote realistic commitments and predictable delivery outcomes.
• Monitor cross-team dependencies, delivery risks, and blockers; surface issues early and help drive resolution.
• Stakeholder Communication & Reporting
• Prepare and deliver sprint status updates, delivery summaries, and performance reporting using Agile delivery tools and Microsoft O365 applications.
• Maintain visible, accurate team boards and delivery dashboards to provide stakeholders with transparency into progress, dependencies, and risks.
• Coordinate with Product Owners, delivery leaders, and business stakeholders to support alignment on priorities, timelines, and deliverables.
• Contribute to Agile standards, center-of-excellence efforts, and continuous improvement practices across the IT organization.
• AI-Enabled Delivery & Continuous Improvement
• Use AI-enabled tools to improve backlog analysis, sprint planning, delivery forecasting, risk identification, and team reporting.
• Apply AI-assisted capabilities within Agile platforms such as Azure DevOps, Jira, Microsoft Copilot, or comparable tools to identify trends, summarize delivery information, and support data-informed decision-making.
• Leverage AI insights to evaluate delivery metrics, including velocity trends, cycle time, lead time, defect trends, and team capacity.
• Use AI-supported retrospective analysis to identify recurring issues, improvement themes, and root causes impacting team performance.
• Apply AI writing and summarization tools to support sprint summaries, stakeholder updates, user story drafts, acceptance criteria, and related delivery documentation.
• Evaluate emerging AI capabilities in Agile delivery, project management, and software development practices; recommend adoption where measurable value can be demonstrated.
• Model responsible and effective use of AI tools in alignment with enterprise standards, data protection expectations, and approved technology practices.
• Stay current on AI advancements that may improve Agile delivery, team performance, and software development execution. 

Experience and Qualifications:

• Bachelor's or Master's degree in Computer Science, Information Science, MIS, Business Administration, or a related technology field (preferred)
• Certified Scrum Master (CSM) — required or must obtain within 6 months of hire
• Project Management Professional (PMP) — preferred
• SAFe Agilist (SA) or SAFe Scrum Master (SSM) — a plus
• AI literacy certification or coursework (e.g., Microsoft AI-900, Google AI Essentials, or equivalent) — a plus 
• 3–5 years of Information Technology project support experience within enterprise application development environments
• 2+ years of direct experience as a Scrum Master for fast-paced Agile teams; supporting multiple teams simultaneously strongly preferred
• Demonstrated, hands-on experience using AI tools in a professional Agile or project management context — required
• Experience coordinating cross-functional projects in support of larger digital business strategy and objectives
• Familiarity with enterprise SDLC methodologies and software development project governance
• Experience with CRM or field-operations platforms (Salesforce, ServiceNow, or similar) is a plus

Skills 

• Hard Skills

• • Technical knowledge and domain expertise required to perform the role effectively
  • Agile methodology and Scrum framework — deep, practitioner-level knowledge of ceremonies, artifacts, and roles
  • Azure DevOps — boards, backlogs, sprint planning, queries, and delivery reporting
  • Microsoft Office 365 — Teams, SharePoint, Excel, and PowerPoint for collaboration, documentation, and stakeholder reporting
  • Agile metrics — velocity, sprint burndown, cumulative flow diagrams, cycle time, and throughput analysis
  • AI-powered Agile and PM tools — hands-on proficiency required (e.g., GitHub Copilot, Azure AI, Microsoft Copilot, Atlassian Intelligence, Jira AI, or comparable platforms)
  • Project management tooling — Microsoft Project, Visio, or equivalent for program-level planning and dependency tracking
  • Software Development Lifecycle (SDLC) — working knowledge of development, QA, and release management processes
  • SAFe or other scaled Agile frameworks — familiarity preferred

• Soft Skills

• Behavioral competencies essential for success in this role:
• Facilitation & coaching — earns trust through consistency; draws out team performance without directing
• Influence without authority — drives alignment and accountability across stakeholders at all levels of the organization
• Communication — translates complex delivery status into clear, concise updates for developers, Product Owners, and executives
• Analytical problem-solving — breaks down ambiguous delivery challenges and proposes practical, actionable paths forward
• Adaptability — adjusts approach as team, program, and business needs evolve; comfortable with ambiguity
• Continuous improvement mindset — treats every sprint as a learning opportunity; actively models a culture of kaizen
• Prioritization & time management — manages competing demands across multiple teams without losing focus or quality
• Accountability — takes ownership of outcomes, not just activities; holds teams to their commitments with empathy and firmness 

 Work Environment:

• Prolonged sitting, some bending and stooping
• Eye strain (screen use)
• Manual dexterity sufficient to operate a computer keyboard and calculator
• Occasional lifting of up to 25 pounds
• Requires normal range of hearing and vision
• Additional hours may be necessary 

Note: The items identified above are representative of those commonly associated with this position but are not exhaustive. Employees may encounter 

This job description should not be construed to imply that these requirements are the exclusive standards of the position. All employees may be required to follow any other instructions, cross train in other positions and to perform other duties as required by workloads.