Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior 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 organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations 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: 

 

Agile & Scrum Leadership 

• Act as Lead Scrum Master for multiple agile teams across programs. 

• Coach Scrum Masters, Product Owners, and teams on Agile, Scrum, and SAFe/Scaled Agile practices. 

• Facilitate key ceremonies (PI Planning, Sprint Planning, Reviews, Retrospectives). 

• Remove impediments and manage cross-team dependencies. 

• Drive agile maturity and continuous improvement across the organization. 

PMO & Program Governance 

• Establish and manage PMO frameworks, standards, and best practices. 

• Oversee program and project planning, execution, and delivery tracking. 

• Define governance models, escalation paths, and risk management processes. 

• Ensure alignment between strategic objectives, roadmaps, and execution. 

• Manage program budgets, timelines, and resource allocation. 
   

Stakeholder & Leadership Management 

• Partner with senior leadership to translate business strategy into execution plans. 

• Provide executive-level reporting on delivery status, risks, and KPIs. 

• Act as a trusted advisor to business, technology, and delivery leaders. 

• Manage external vendors and delivery partners when required. 
   

Metrics, Reporting & Tools 

• Define and track agile and PMO metrics (velocity, predictability, burn-down, OKRs, milestones). 

• Drive data-driven decision-making using dashboards and reports. 

• Ensure effective use of tools like Jira, Confluence, MS Project, Clarity, Azure DevOps. 

 

People & Change Leadership 

• Lead, mentor, and develop Scrum Masters and PMO team members. 

• Drive change management and adoption of agile ways of working. 

• Build a high-performance, accountability-driven delivery culture. 

 

Mandatory skill sets: 

 

• Coach Scrum Masters, Product Owners, and teams on Agile, Scrum, and SAFe/Scaled Agile practices. 

• Facilitate key ceremonies (PI Planning, Sprint Planning, Reviews, Retrospectives). 

 

Preferred skill sets: 

 

• Establish and manage PMO frameworks, standards, and best practices. 

Years of experience required: 

 

11-15 

Education qualification: 

 

B.Tech / M.Tech / MBA / MCA 

 

 

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required: Bachelor of Engineering

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Azure Devops

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, AI Fluency, AI-Human Collaboration, 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 {+ 38 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

May 31, 2026