PwC
PLS - Veeva / CRM Specialist - Senior Manager
Bangalore
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hirly's read of this role
- Seniority
- Lead / management
- Country
- IN
- Work mode
- On-site / unstated
- First seen by hirly
- 5 Oct 2026
Derived automatically from the posting. Upload your resume above to see how the role scores against it.
the posting
Industry/Sector
Not Applicable
Specialism
Data, Analytics & AI
Management Level
Senior 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 Veeva / CRM Specialist you will lead client support efforts focused on data and analytics engineering solutions, bringing together Veeva and CRM knowledge to shape data-driven outcomes within our Data and Analytics Engineering practice. As a Senior Manager you will lead multiple work streams, guide teams through complex problem-solving, and use sound judgment to direct priorities, communicate clear direction, and support a diverse team in delivering results. In this role at PwC, you will advise on advanced analytics, coordinate with stakeholders, and translate business needs into practical solutions that support informed decision-making and business growth.
Responsibilities
- - Leading Veeva CRM and client relationship management initiatives across data science and analytics engagements
- - Advising client teams on data-driven approaches for sales, marketing, and customer engagement processes
- - Developing statistical models, dashboards, and visualizations that translate complex data into actionable findings
- - Managing multiple workstreams, prioritizing deliverables, and coordinating timelines across technical and business stakeholders
- - Applying machine learning, predictive modeling, and exploratory analysis to identify patterns and support business decisions
- - Evaluating data quality, pipeline design, and data modeling methods to improve reliability and usability
- - Coaching team members through analysis, solution design, and presentation of findings to varied audiences
- - Communicating recommendations clearly to client leaders and internal stakeholders while navigating changing priorities
What You Must Have
- - At least a Bachelor's degree
- - At least 12 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 Veeva CRM implementation, configuration, and enhancement delivery
- - Applying data analytics, reporting, and dashboarding in client-facing settings
- - Navigating complex stakeholder conversations and translating needs into action
- - Coaching teams through ambiguity while advancing delivery priorities
- - Validating client feedback, refining solutions, and informing next steps
- - Enterprise Veeva Architecture
- - Advanced Configuration Strategy
- - Integration Governance
- - Custom Development Framework
- - Data Strategy
- - System Design
- - Organizational Implementation
- - Multi-instance Strategy
- - Complex API Integration
- - Advanced Reporting
- - Performance Optimization
- - Security Architecture
- - Compliance Framework
- - User Governance
- - Migration Strategy
- - Cost Management
- - Innovation Strategy
- - Team Development
- - Executive Communication
- - Strategic Planning
Travel Requirements
Not Specified
Job Posting End Date
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