Payer Analytics Solutions Manager

Posted 46 Minutes Ago
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45 Locations
Hybrid
99K-232K Annually
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
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The Role
Lead payer analytics engagements that transform claims, membership, and operational data into actionable insights. Manage project planning, budgets, timelines, deliverables, and client workstreams while coaching analytics teams. Apply statistical analysis, predictive modeling, machine learning, SQL, dashboards, and data visualization to healthcare payer challenges. Validate data quality and analytic outputs, translate modernization needs into solutions, and guide compliance with healthcare data standards and payer regulations.
Summary Generated by Built In
The Opportunity
As a Payer Analytics Solutions Manager you will lead analytics work that turns data into insights, helping shape client decisions within our Advisory practice. As a Manager you will motivate and develop teams, coach team members, manage performance, and guide workstreams with accountability, integrity, and a practical understanding of how business works. In this role at PwC, you will oversee analytic deliverables, support project planning and execution, and apply data science methods to complex payer and health services challenges while using technology to advance delivery and improve outcomes.
Responsibilities
- Leading payer analytics engagements that transform claims, membership, and operational data into actionable insights
- Managing project planning, budgets, timelines, and deliverables across multiple client workstreams
- Developing and coaching teams in statistical analysis, data modeling, predictive modeling, and data visualization
- Translating payer modernization needs into analytic approaches for health plan operations, member experience, and cost management
- Building dashboards, reports, and presentations that communicate trends, risks, and business opportunities to client leaders
- Applying machine learning, data science workflows, and programming languages to solve complex healthcare analytics problems
- Validating data quality, model inputs, and analytic outputs across data pipelines and source systems
- Guiding the use of healthcare data standards, payer regulations, and compliance requirements in analytical deliverables
What You Must Have
- At least a Bachelor's degree
- At least 5 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Accounting, Analytics/Data Science, Artificial Intelligence/Robotics, Business Administration/Management, Computer Science/Information Systems, Cybersecurity, Engineering, Mathematics/Statistics, Operations/Supply Chain, Project/Technology Management, Risk Management/Insurance
- Demonstrating payer analytics experience supporting modernization initiatives and client service work
- Applying advanced analytics, statistical modeling, and data visualization in health services settings
- Leading project planning, budgeting, execution, and timeline tracking across workstreams
- Coaching team members, reviewing deliverables, and developing performance through feedback
- Using SQL, data science tools, and healthcare data to translate findings into actions
The salary range for this position is: $99,000 - $232,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance
As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.
PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.
Learn more about how we work: https://pwc.to/how-we-work
For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.
Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

Skills Required

  • Bachelor's degree
  • At least 5 years of experience
  • Payer analytics experience supporting modernization initiatives and client service work
  • Advanced analytics, statistical modeling, and data visualization experience in health services settings
  • Project planning, budgeting, execution, and timeline tracking experience
  • Team coaching, deliverable review, and performance development experience
  • Experience using SQL, data science tools, and healthcare data
  • Preferred field of study in analytics/data science, computer science/information systems, mathematics/statistics, business, engineering, artificial intelligence/robotics, cybersecurity, operations/supply chain, project/technology management, risk management/insurance, or accounting

What the Team is Saying

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PwC Compensation & Benefits Highlights

  • Retirement Support — Feedback suggests employer-funded retirement contributions alongside a 401(k) match and the Wealth Builder program are notable strengths. Vesting is graded, but the presence of both firm-funded and matching elements enhances long-term financial support.
  • Parental & Family Support — Feedback suggests 12 weeks of parental leave for all parents, phased return-to-work, and family-forming support (adoption, surrogacy, fertility) stand out. Back-up childcare and eldercare resources add tangible day-to-day utility for caregivers.
  • Healthcare Strength — Feedback suggests multiple medical plan options with mental-health resources and wellness programs provide breadth. Access to counseling platforms and specialized care programs enhances overall wellbeing coverage.

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The Company
HQ: New York, NY
370,000 Employees
Year Founded: 1998

What We Do

Build what’s next — with tech that matters PwC provides professional services across Audit and Assurance, Advisory and Tax — powered by a global network of over 370,000 people in 149 countries. You may know us for our business expertise, but technology is core to how we help clients move faster, build trust and deliver meaningful outcomes. As a technologist, you’ll work on agile teams with experienced engineers and product thinkers — using AI, cloud, cybersecurity and more to design scalable, real-world solutions. You’ll keep learning, stay challenged and be part of a network where your growth is built in — and your work drives what’s next.

Why Work With Us

At PwC, our professionals include technologists, engineers, programmers and consultants working across AI, cloud, cybersecurity, data and more. You’ll explore innovative ways to help clients transform their business through technology—reducing complexity, unlocking value and shaping a more agile, data-driven future.

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