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.

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