Industry/Sector

Specialism

Management Level

Job Description & Summary

The Opportunity

Join our Acceleration Center India and help shape the future of business for our diverse client portfolio across geographies and jurisdictions. You’ll work at the heart of global teams across Advisory, Assurance, Tax and Business Services—solving real client challenges through connected collaboration. We’ll help you grow your skills so you can go further. With hands-on learning, cutting-edge tools and an inclusive culture, this is your opportunity to do inspiring work that makes a difference—every day.

As a Business Analyst you will support data modernization efforts within our Data and Analytics Engineering practice, helping shape analysis, requirements, and delivery for client-facing work. As a Manager you will lead teams, coach junior staff, manage client account workstreams, and use sound judgment to analyze complex problems and deliver timely outcomes across multiple priorities. In this role at PwC Acceleration Center India, you will contribute to Cloud Engineering, Data & Analytics efforts aligned to Data Modernisation and Product Innovation, bringing structure to business needs, facilitating discussions, and helping translate ideas into actionable work for the delivery team.

Responsibilities

- Leading data engineering workstreams across client-facing modernization engagements
- Managing project plans, timelines, and deliverables while balancing priorities across multiple requests
- Guiding teams in building data pipelines, warehouse structures, and transformation logic using Azure Data Factory, Databricks, and Snowflake
- Reviewing data architecture, modeling, and integration approaches to support scalable analytics solutions
- Applying data quality, validation, security, and anonymization practices across development activities
- Driving performance tuning, query optimization, and database troubleshooting efforts for complex data environments
- Coaching junior team members through feedback, mentoring, and review of technical work products
- Identifying opportunities to improve data infrastructure, automation, and digital tooling across engagements
- Translating client business needs into technical data solutions that support modernization and product innovation

What You Must Have

- At least a Bachelor's degree
- At least 8 years of experience
- Oral and written proficiency in English required

- Strong Property & Casualty (P&C) Insurance domain knowledge (policy, claims, billing, underwriting data processes). 

- Guidewire X-Center knowledge and experience with insurance reporting frameworks. 

- Hands-on experience with Guidewire data model and data dictionary. 

- Strong working knowledge of Data Warehousing concepts, data modeling, and SQL. 

- Solid understanding of ETL concepts, data flows, and data transformation logic. 

- Experience gathering and translating business requirements into technical specifications. 

- Ability to work closely with data engineering and QA teams to support build, testing, and validation. 

- Strong analytical and problem-solving skills. 

- Experience in agile delivery methodologies and tools (Jira, Confluence). 

- Excellent communication and presentation skills with the ability to interact with business users and technical teams. 

- Strong ownership to end to end delivery and have experience in leading teams for Data migration projects. 

What Sets You Apart

- Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, Mathematical Statistics
- Demonstrating data modernization delivery across cloud platforms and data warehouses
- Applying data architecture, modeling, and pipeline design to client workstreams
- Managing cross-functional teams through Agile delivery and changing priorities
- Coaching junior team members through feedback, review, and mentoring
- Translating business questions into analytical requirements and solution approaches
- Using Snowflake, Databricks, Azure Data Factory, or Airflow

Travel Requirements

Job Posting End Date