IN-Manager_Scrum Master_Data and Analytics_Advisory_Bangalore

Line of Service
Advisory

Industry/Sector
Not Applicable

Specialism
Data, Analytics & AI

Management Level
Manager

Job Description & Summary
At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.


*Why PWC

At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us.

At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. "


Job Description & Summary: A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.

Responsibilities:

· Lead and coach multiple Scrum teams delivering AI and data solutions across cloud platforms · Facilitate Agile ceremonies: sprint planning, daily stand-ups, retrospectives, and reviews · Awareness on Application of SAFe principles to coordinate across Agile Release Trains (ARTs) and manage dependencies · Collaborate with Product Owners, AI Engineers, Cloud Architects, and Data Scientists · Drive delivery excellence by removing impediments and optimizing team velocity · Track sprint progress, KPIs, and milestones using tools like Jira, Azure DevOps, or Rally · Engage directly with enterprise clients to align delivery with strategic goals · Support PI Planning, Scrum of Scrums, and Inspect & Adapt workshops

Mandatory skill sets:

· 5+ years of experience as a Scrum Master or Agile Delivery Lead · Proven success delivering AI/ML, Data Analytics, or Agentic AI programs · Strong understanding of Azure or AWS cloud ecosystems · Experience working with multi-national enterprise clients in a consulting environment · Excellent facilitation, coaching, and stakeholder management skills

Preferred skill sets:

· Agile certifications: CSM, PSM, SAFe Scrum Master (SSM) or SAFe Program Consultant (SPC) preferred · Hands-on experience with SAFe Agile implementation and coordination across teams

Years of experience required:

3 to 12

Education qualification:

BE, B.Tech, ME, M,Tech, MBA, MCA (60% above)

Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Master of Engineering, Master of Business Administration, Bachelor of Engineering

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills
Scrum

Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Coaching and Feedback, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling {+ 32 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements
Not Specified

Available for Work Visa Sponsorship?
No

Government Clearance Required?
No

Job Posting End Date