Associate

About the Role

Join PwC Acceleration Center India to shape the future of business for a diverse client portfolio. Work within global teams across Advisory, Assurance, Tax, and Business Services, solving real client challenges through collaboration. This role offers hands-on learning, cutting-edge tools, and an inclusive culture to do inspiring work.

As a Payer Health Transformation Associate, you will support client engagements focused on payer modernization, healthcare back office transformation, and data-driven analysis within the Management Consulting practice. You will contribute to project tasks, conduct research, build analyses, and support senior team members. You will help prepare work plans, capture current-state processes, develop insights from data, support meetings with client teams, and contribute to transformation efforts across enrollment, claims, eligibility, care management, and analytics workstreams.

Key Responsibilities

• Supporting payer modernization projects through analysis, research, and preparation of client-ready materials
• Analyzing payer data, operational workflows, and benchmark information to identify trends, gaps, and improvement opportunities
• Building simple models in Excel and using SQL or automation tools to organize data and support findings
• Capturing current-state processes and helping document future-state workflows for enrollment, claims, eligibility, care management, and payment integrity
• Preparing work plans, meeting materials, and issue summaries to support project leads and client teams
• Applying GenAI tools for research, storyboarding, and insight development in healthcare transformation work
• Conducting cost-benefit analyses and supporting business cases for process redesign, digital tools, and technology-enabled operating model changes
• Contributing to data governance, analytics, and reporting activities across payer modernization initiatives
• Translating technical findings into clear recommendations for business stakeholders and healthcare clients
• Supporting technology-enabled operating model transformations, including workflow redesign, system implementation, or platform optimization

Requirements & Tech Stack

• Basic ability to use GenAI for research and storyboarding
• Ability to support technology-enabled operating model transformations
• 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
• Exposure to predictive modeling
• Understanding of payer middle office functions (e.g., care management, utilization management, pharmacy management, network management, provider engagement, and payment integrity)

Qualifications

• At least a Bachelor's degree
• Oral and written proficiency in English required

What Sets You Apart

• 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