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