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.