Job Description
Title- Project Manager & Scrum Master - Data Engg projects in cloud environments (AWS/Azure/GCP)
Location- Dallas ,TX in client office 3days/wk.
Term: Contract
Mandatory Skills: Need a strong project Manager who can lead end-to-end project delivery and has the ability to work in a fast-paced and dynamic environment.
Should have good understanding of data platforms, data pipelines, cloud environments (AWS/Azure/GCP), and BI/reporting tools.
Scrum certified Preferred.
Role Summary
We are seeking an experienced Project Manager / Scrum Master to lead and deliver data-centric projects across our organization. This role combines strong project management and Agile expertise with hands-on experience coordinating data engineering, analytics, cloud, and integration teams. The ideal candidate can drive cross-functional execution, ensure timely delivery, and communicate effectively with both technical and business stakeholders.
Key Responsibilities
1. Project Management & Delivery
- Lead end-to-end project delivery for data engineering, data platform, analytics, and governance initiatives.
- Develop and manage project plans, timelines, budgets, scopes, and risks.
- Coordinate dependencies across data, engineering, cloud, product, and business teams.
- Ensure successful delivery of data pipelines, migrations, dashboards, integrations, and cloud platform enhancements.
2. Scrum Master Responsibilities
- Facilitate Agile ceremonies: daily standups, sprint planning, grooming, retrospectives, and demos.
- Coach teams on Agile best practices and foster a high-performing, collaborative environment.
- Remove impediments and ensure smooth sprint execution.
- Track team velocity, sprint progress, and process improvements.
3. Stakeholder Management
- Work closely with business owners, data leads, analysts, and executives to gather requirements and ensure alignment.
- Communicate project status, risks, and dependencies clearly and proactively.
- Manage expectations and ensure transparency around scope and timelines.
- Bridge the gap between technical teams and business functions.
4. Data Project Coordination
- Understand data concepts such as ETL/ELT, data quality, reporting, data lakes/warehouses (no hands-on coding required).
- Work with data engineers and architects to ensure technical feasibility and accurate estimation.
- Oversee data validation, UAT cycles, and production readiness activities.
- Ensure data governance, privacy, and compliance considerations are included in project workflows.
5. Continuous Improvement & Governance
- Promote standard PMO practices, documentation, and project governance frameworks.
- Identify process improvement opportunities across teams and drive adoption.
- Support capacity planning, resource management, and cross-team coordination.
Required Skills & Experience
Project & Agile Skills
- 5+ years of project management experience, with at least 2+ years managing data or analytics projects.
- Strong knowledge of Agile/Scrum methodologies and best practices.
- Proven ability to deliver complex, multi-team data or cloud projects.
- Experience managing distributed and cross-functional teams.
Technical & Domain Knowledge
- Good understanding of data platforms, data pipelines, cloud environments (AWS/Azure/GCP), and BI/reporting tools.
- Ability to interpret technical concepts and translate them into business language.
- Familiarity with tools such as Jira, Confluence, MS Project, Smartsheet, or equivalent.
Soft Skills
- Excellent communication, presentation, and documentation skills.
- Strong stakeholder management and conflict-resolution abilities.
- Highly organized, detail-oriented, and proactive in identifying risks and issues.
- Ability to work in a fast-paced, dynamic environment.
Preferred Qualifications
- Certified Scrum Master (CSM), PMI-ACP, PMP, or equivalent certifications.
- Experience in data modernization, cloud data platform implementation, or enterprise analytics programs.
- Experience in regulated industries (finance, healthcare, insurance) is a plus.
Why Join Us?
- Lead high-impact data initiatives that directly support strategic decision-making.
- Work with talented data engineers, analysts, architects, and product leaders.
- Strong culture of collaboration, growth, and continuous improvement.
- Opportunities for professional development and certification support.
Job Tags
Contract work, Work at office,