Payer Health Transformation - Associate

Overview

Support client engagements focused on payer modernization, healthcare back office transformation, and data-driven analysis within PwC's Management Consulting practice, based at PwC Acceleration Center India.

What you'll do

• Support payer modernization projects through analysis, research, and preparation of client-ready materials
• Analyze payer data, operational workflows, and benchmark information to identify trends, gaps, and improvement opportunities
• Build simple models in Excel and use SQL or automation tools to organize data and support findings
• Capture current-state processes and help document future-state workflows for enrollment, claims, eligibility, care management, and payment integrity
• Prepare work plans, meeting materials, and issue summaries to support project leads and client teams
• Apply GenAI tools for research, storyboarding, and insight development in healthcare transformation work
• Conduct cost-benefit analyses and support business cases for process redesign, digital tools, and technology-enabled operating model changes
• Contribute to data governance, analytics, and reporting activities across payer modernization initiatives
• Translate technical findings into clear recommendations for business stakeholders and healthcare clients

What you'll need

• At least a Bachelor's degree
• At least 2-4 years of experience
• Oral and written proficiency in English
• Basic ability to use GenAI for research and storyboarding
• Ability to support technology-enabled operating model transformations, including workflow redesign, system implementation, or platform optimization

Nice to have

• Analyzing large healthcare datasets and benchmarking payer operations
• Applying SQL, Python, or R for data insights
• Familiarity with payer workflows, enrollment, claims, and eligibility
• Supporting digital transformation, automation, and analytics initiatives
• Conducting independent research and translating findings into recommendations
• Using GenAI, AI, ML, or NLP for research and storyboarding
• Exposure to predictive modeling and forecasting techniques
• Ability to encourage innovation using data-driven ideas
• General familiarity with AI, ML, and NLP concepts
• Familiarity with risk scoring, anomaly detection, or payment integrity patterns
• Understanding of payer middle office functions (e.g., care management, utilization management, pharmacy management, network management, provider engagement, and payment integrity)

Details

• Location: Hyderabad
• Travel requirement: 0%