About this role
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 Payer Health Transformation Associate you will support client-focused consulting work within our Management Consulting practice, contributing to efforts that address payer modernization, operating model improvements, and transformation initiatives across health care organizations. As an Associate you will focus on learning, adapting to shifting priorities, and contributing to project tasks with reliability while building your skills in research, data interpretation, and client service. In this role at PwC Acceleration Center India, you will help develop deliverables, track workstreams, and support senior team members as you build knowledge of the payer landscape and broaden your consulting career.
Job Profile: Payer Modernization – Healthcare Transformation & Analytics Role Overview We are looking for professionals with experience in healthcare payer operations, transformation, technology, and analytics to support payer modernization initiatives. The role will focus on improving operational effectiveness, redesigning workflows and operating models, leveraging data and analytics, and supporting technology-enabled transformation across payer functions. Candidates may specialize in one or more of the following capability areas:
• Healthcare Back Office Transformation • Healthcare Middle Office Transformation • Payer Analytics & Data Strategy Key Responsibilities
• Support strategic, operational, and technology-led transformation initiatives across healthcare payer organizations. • Assess existing processes and develop process maps, workflow assessments, operating models, and improvement recommendations. • Conduct benchmarking, workforce assessments, research, and cost-benefit analyses to identify improvement opportunities. • Support transformation across payer functions such as claims, enrollment, eligibility, billing, provider data, care management, utilization management, pharmacy/PBM, network management, payment integrity, and risk adjustment. • Analyze large and complex healthcare datasets to identify trends, operational issues, and actionable business insights. • Support technology-enabled operating model transformation, including workflow redesign, system implementation, platform optimization, and process automation. • Contribute to analytics initiatives addressing risk adjustment, quality, utilization, care management, pharmacy performance, and payment integrity. • Support data governance and effective communication of analytical insights to business and operational stakeholders. • Use GenAI to support research, insight development, and storyboarding where appropriate. • Evaluate opportunities to leverage automation, AI/ML, NLP, interoperability, and data exchange to improve payer processes. Essential Knowledge & Experience
• Understanding of healthcare payer operations and core functions. • Experience supporting operational, strategic, technology, analytics, or transformation initiatives. • Understanding of payer workflows such as claims, enrollment, eligibility, billing, provider data, benefits, care management, and utilization management. • Familiarity with process mapping, workflow assessment, operating models, project management, or benchmarking. • Strong analytical and problem-solving capabilities. • Ability to conduct independent research and translate findings into actionable insights. • Experience working with complex datasets. • Understanding of payer technology platforms and system-enabled process improvement. • Ability to communicate analytical and technical insights clearly to business stakeholders. Preferred Knowledge & Experience
• Understanding of Medicare Advantage, Medicare Part D, Medicaid, and commercial payer models. • Familiarity with risk adjustment, HCCs, Stars, HEDIS, CAHPS, and compliance-driven payer activities. • Understanding of Pharmacy Benefit Management (PBM) concepts such as formulary design, utilization management, rebates, pharmacy networks, and drug-spend analytics. • Awareness of CMS oversight, payer regulatory requirements, audits, and compliance processes. • Understanding of value-based care and payment models. • Experience with payer analytics use cases involving risk adjustment, quality, care management, utilization, pharmacy, or payment integrity. • Exposure to predictive modeling, forecasting, risk scoring, or anomaly detection. • Familiarity with healthcare interoperability, data exchange, provider data platforms, and automation concepts. • Exposure to digital transformation and analytics programs. Technical Skills Essential
• Experience analyzing large and complex datasets. • Strong analytical and structured problem-solving skills. • Ability to perform benchmarking and basic cost-benefit analysis. • Basic proficiency in GenAI-enabled research and insight development. Preferred
• SQL • Python or R • Automation tools • AI/ML and NLP concepts • Predictive modeling and forecasting • Healthcare analytics and data visualization • GenAI-based research and storyboarding Core Competencies
• Strategic and structured thinking • Strong analytical mindset • Problem solving • Stakeholder communication • Independent research • Business and technology alignment • Data-driven decision making • Innovation and continuous improvement • Ability to operate effectively in transformation environments Ideal Candidate Profile The ideal candidate combines healthcare payer domain knowledge with strong analytical and transformation capabilities. They should be comfortable understanding payer workflows, analyzing complex information and datasets, identifying improvement opportunities, and supporting technology- and data-enabled modernization initiatives. Candidates with deeper specialization in payer operations, Medicare/Medicaid, PBM, risk adjustment, care/utilization management, healthcare analytics, data strategy, or payer technology transformation would be particularly relevant depending on the specific capability area.
What You Must Have
- Master's degree in Healthcare Administration, Public Health, Business Administration, Life Sciences, Engineering, Data Analytics, Finance, or related discipline. - At least 2-4 years of experience - Oral and written proficiency in English required
What Sets You Apart
- Intellectual curiosity for payer modernization and health transformation - Supporting client projects through project delivery and team tasks - Applying business analysis and process improvement in consulting settings - Contributing to stakeholder engagement and customer relationship management - Utilizing emerging technologies, AI fluency, and digital tooling - Demonstrating change management and business transformation awareness