Project Manager/Scrum Master

Mandatory Skills - Project Management, Scrum Master, Agile/Scrum, Stakeholder Management, Requirement Gathering, Jira, Confluence, SDLC Desired Skills - SAFe, Kanban, Product Owner exposure, Change Management, Data Analysis, Healthcare/IT domain Job Description - • Strong experience working as Scrum Master and Project Manager in Agile environments • Lead Scrum ceremonies including sprint planning, stand‑ups, reviews, and retrospectives • Drive Agile best practices and ensure team adherence to Scrum framework • Manage end‑to‑end project delivery including scope, timelines, risks, and dependencies • Work closely with business stakeholders to gather, analyze, and document requirements • Convert business requirements into user stories with clear acceptance criteria • Maintain and prioritize product backlog in coordination with stakeholders • Identify and remove impediments impacting team productivity and delivery • Track sprint progress, velocity, and ensure predictable delivery outcomes • Manage stakeholder communication, reporting, and expectations • Coordinate across cross‑functional teams including Dev, QA, and Product • Facilitate UAT planning and ensure smooth release management • Monitor risks, issues, and implement mitigation strategies • Utilize Jira and Confluence for tracking, documentation, and reporting • Drive continuous improvement through retrospectives and process optimization • Strong experience interacting with clients and senior leadership • Ability to handle multiple projects and teams simultaneously • Ensure adherence to SDLC, governance, and compliance standards • Excellent communication, leadership, and problem‑solving skills Provide your feedback on BizChat Proven experience architecting and delivering systems using agentic IDEs Ability to: • Define architectural intent that agents can follow • Break features into agent executable tasks • Govern AI autonomy (guardrails, permissions, reviews) • Integrate agentic workflows into CI/CD pipelines Experience supervising AI agents across: • Multi service systems • Legacy modernization • Large codebases / monorepos Strong understanding of: • Security implications of autonomous code execution • Compliance, auditability, and traceability •AI assisted SDLC operating models Core Responsibility: • Guide effective use of agentic IDEs for complex, multi-module or cross-service changes • Establish review practices and quality checks for AI-generated code • Mentor team members on balancing autonomy, correctness, and maintainability in AI-assisted development • Design system architectures that support AI-augmented and agentic development workflows • Define guardrails, standards, and governance for the use of autonomous coding agents • Evaluate impact of agentic IDEs on SDLC, CI/CD pipelines, security posture, and technical debt