Sr Specialist Data Analysis(Scrum Master)

Job Description:

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:

·          Bachelor’s 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.

Shift timing (if any): 12.30 to 9.30 IST(Bangalore)/1:00-10:00 pm (Hyderabad)

Work mode: Hybrid (3 days mandatory in office)

Weekly Hours:

40

Time Type:

Regular

Location:

IND:KA:Bengaluru / Innovator Building, Itpb, Whitefield Rd – Adm: Intl Tech Park, Innovator Bldg

It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities.