Specialist Tech Business Analysis (Scrum Master)

As a Scrum Master, you will play a crucial role in leading Agile teams working on cutting-edge data and AI-driven initiatives, ensuring seamless delivery of projects that align with AT&T s data strategy.

Roles and Responsibilities

• Create product roadmap and project plan.
• Organize and facilitate Scrum team meetings including Release and Sprint planning, Daily Standups, Backlog Grooming, Sprint Demo and Retrospectives.
• Support in developing, maintaining, and grooming Product Backlog.
• Remove impediments and manage dependencies, risks, and issues during Sprint execution.
• Provide inputs and clarify business and technical requirements during project and release planning.
• Utilize JIRA, Confluence wiki and Microsoft office tools for product management.
• Lead the team in embracing Test-Driven Development and DevOps principles & practices for software development.

Skills Required:

• Strong experience in Agile frameworks (Scrum, Kanban, SAFe, LeSS) for complex data projects.
• Expertise in facilitating Agile ceremonies and ensuring smooth execution.
• Proficiency in Agile metrics and reporting (burn-down charts, velocity tracking).
• Excellent problem-solving, conflict-resolution, and stakeholder management skills.
• Hands-on experience with Agile tools (JIRA, Azure DevOps, Rally, Confluence).
• Strong leadership, communication, and Agile coaching experience at the enterprise level.
• Ability to influence leadership and drive Agile maturity assessments.

Technical Qualifications:

Preferred:

• Bachelors degree in Computer Science, Information Systems, or a related field.
• 5 + years in a scaled Agile development team.
• Experience in high-tech, software, or telecom industries is a plus.
• Strong analytical skills to translate insights into impactful product initiatives.
• Experience in software development with exposure to Azure, Snowflake, Databricks, Python, PowerBI and data visualization tools.
• Knowledge of DevOps, CI/CD, and cloud-based data solutions (AWS, Azure, GCP).
• Experience with large-scale data pipelines, AI/ML, and cloud computing in an Agile environment.