Project Manager Scrum Master - Full Time

Job Description

Scrum Master / Project Manager

Location: Berkeley Heights, New Jersey

Full Time

• Job Summary: We are seeking a dynamic and experienced Scrum Master cum Project Manager.
• This role combines agile leadership with traditional project management to ensure the successful planning, execution, and delivery of data migration from legacy systems to modern platforms.
• The ideal candidate will have a strong understanding of agile methodologies, data migration strategies, stakeholder management, and cross-functional team coordination.
• Key Responsibilities: Scrum Master Responsibilities: Facilitate daily stand-ups, sprint planning, retrospectives, and other Agile ceremonies. Coach the team on Agile principles and practices to ensure continuous improvement. Remove impediments and foster a collaborative team environment. Track and report sprint progress, velocity, and other Agile metrics.
• Ensure alignment between product owners, development teams, and stakeholders. Project Manager Responsibilities: Define project scope, goals, deliverables, and timelines in collaboration with stakeholders.
• Develop and maintain detailed project plans, risk registers, and communication plans. Monitor and report on project progress, risks, and issues to leadership.
• Required Skills & Qualifications: Proven 7+ years of experience as a Scrum Master and Project Manager in data migration or similar IT projects. Strong understanding of Agile/Scrum frameworks and project management methodologies.
• Experience with data migration tools, ETL processes, and cloud platforms (Good to Have).
• Excellent communication, leadership, and stakeholder management skills.
• Proficiency in tools like Jira, Confluence, MS Project, or equivalent. Bachelor’s degree in computer science, Information Technology, or related field; certifications like CSM, PMI-ACP, or PMP are a plus.
• Preferred Qualifications: Experience in regulated industries (e.g., finance, healthcare) with data governance requirements.
• Familiarity with data quality, cleansing, and validation techniques. Ability to manage hybrid teams across geographies and time zones.