Remote Scrum Master – Data Management & BI Warehousing

Quantum Technologies. LLC; Dallas (TX); Remote; USD 120,000 - 150,000; Full time

Job summary

Quantum Technologies. LLC is seeking an experienced Scrum Master for Data Management to lead multiple Agile teams focused on data management, BI/Analytics, DWH, data integration, data conversion, MDM, and governance initiatives.

The ideal candidate will coordinate several Scrum workstreams, manage Jira boards, and ensure timely delivery of project and operational activities across complex data environments. Strong stakeholder management and analytical skills are essential.

Qualifications

• Minimum 5 years of experience as a Scrum Master leading Agile teams working on ETL, Data Conversion, and/or Master Data Management (MDM).
• Bachelor's degree is mandatory.
• Experience leading multiple Agile teams and managing multiple Scrum boards.
• Strong experience supporting Business Intelligence (BI) and Data Warehousing projects.
• Must have experience working with data management and analytics environments.
• Must be eligible to work remotely within the United States.

Responsibilities

• Lead multiple Agile teams, coordinate Scrum ceremonies, backlogs, blockers, and delivery.
• Manage Jira boards, track progress, and report status across data initiatives.
• Collaborate with stakeholders to align data governance, quality, and architecture with business goals.

Skills

Scrum & Agile Leadership

Master Data Management

ETL & Data Integration

Data Conversion

Data Lake Platforms

BI & Data Warehousing

Data Quality & Governance

Data Architecture & Modeling

Project Management

Education

Bachelor's degree

Tools

Jira

Job description

Quantum Technologies. LLC is seeking an experienced Scrum Master for Data Management to lead multiple Agile teams focused on data management, BI/Analytics, DWH, data integration, data conversion, MDM, and governance initiatives.

The ideal candidate will coordinate several Scrum workstreams, manage Jira boards, and ensure timely delivery of project and operational activities across complex data environments. Strong stakeholder management and analytical skills are essential.