PwC
Data Modeling - PLS - Manager
India · Work style not stated · Full time
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About the role
Description from the employer’s posting. Check the employer’s page for the current version.
- EmployerPwC
- LocationIndia
- Work styleWork style not stated
- Employment typeFull time
- Employer posted
Industry/Sector
Not Applicable
Specialism
Data, Analytics & AI
Management Level
Manager
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 Data Modeling - PLS - Manager you will lead client-facing data modeling efforts within our Data and Analytics Engineering practice, translating business needs into data structures that support analytics, reporting, and modeling work. As a Manager you will coach team members, manage workstreams, and validate deliverables across planning, execution, and review while applying sound judgment, business awareness, and a clear focus on quality and timelines. In this role at PwC, you will help shape data models for data science use cases, support exploratory and descriptive analysis, and contribute to statistical modeling and data visualization work that helps clients turn data into actionable insight.
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Responsibilities
- Leading data modeling workstreams for client engagements and aligning deliverables with business needs
- Guiding teams in designing conceptual, logical, and physical data models for analytics and reporting solutions
- Developing data structures that support statistical analysis, machine learning, and predictive modeling use cases
- Reviewing source systems and datasets to identify relationships, dependencies, and data quality gaps
- Translating business requirements into scalable data architecture and modeling approaches
- Managing project scope, timelines, and deliverables across multiple client priorities
- Coaching team members on data science methods, modeling techniques, and technical problem-solving
- Applying programming, data engineering, and visualization tools to support model development and presentation of insights
What You Must Have
- At least a Bachelor's degree
- At least 8 years of experience
- Oral and written proficiency in English required
What Sets You Apart
- Preference for at least one of the following fields of study: Artificial Intelligence and Robotics, Business Analytics, Computer and Information Science, Computer Engineering, Computer Programming, Data Processing/Analytics/Science, Engineering, Information Technology, Machine Learning, Management Information Systems, Mathematics, Statistics, Systems Engineering
- Demonstrating experience in data modeling, analytics, or data science projects
- Applying knowledge of data architecture, pipelines, and model design
- Leading project workstreams, mentoring team members, and reviewing deliverables
- Translating complex data findings into client-ready recommendations and actions
- Using Python, SQL, or visualization tools in delivering analytics solutions
- Collaborating across teams while navigating ambiguity and shifting priorities
Travel Requirements
Not Specified
Job Posting End Date
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At a glance
- Employment typeFull time
- Employer posted
- Added to ROLIVA
- Last checked
Skills in this posting
Skills ROLIVA found in the employer’s own description above. A mention is not a requirement.