Project Manager Scrum Master & Data Projects R1012518

Industry Group: Automotive.

Job Title : Project Manager Scrum Master & Data Projects - R1012518

Location : Plano TX (Local to Dallas area in client office 3days/wk.)
Duration : 12 Months Contract (Potential for extension)

Pay Rate : $55 - $60

Custom Skill Requirements:

1. Project Management
2. Scrum/Agile
3. Data analytics

Qualifying Questions:

1. Do you have strong project manager experience
2. Are you Scrum Master certified
3. Can you lead end-to-end project delivery
4. Do you have a good understanding of data platforms data pipelines cloud environments (AWS/Azure/GCP) and BI/reporting tools

Job Description:

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.

1. 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.

1. 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.

1. 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.

1. 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.