Payer Healthcare Data Engineer, Senior Manager
PwC Open At a glance
Senior Data Engineering role at PwC. MA-Boston · full-time · $124,000–$280,000 base.
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What you'll do
- Lead payer data engineering work that connects analytics solutions to healthcare clients’ modernization priorities
- Build pipelines, models and interoperability frameworks for claims, membership and provider data
- Use statistical analysis, machine learning and data science to turn payer data into useful insights
- Guide delivery on large programs, managing scope, schedules and team execution through uncertainty
- Advise clients on data architecture and platform strategy, validate data controls, coach teams and present recommendations
What you bring
- A bachelor’s degree or higher is required
- At least seven years of professional experience
- Payer healthcare data engineering experience supporting modernization, including client work with claims or membership data
- Experience leading complex data projects, coaching teams and explaining technical findings clearly to clients
Who this fits
This senior manager role suits someone who can lead complex payer data programs while coaching teams and advising clients. Expect travel of up to eighty percent. Applicants who will need PwC sponsorship through the H-1B lottery are not eligible, subject to the stated policy.
From the employer
Industry/Sector
Health ServicesSpecialism
OperationsManagement Level
Senior ManagerJob Description & Summary
The Opportunity
As a Payer Healthcare Data Engineer, Senior Manager you will lead data and analytics engineering efforts that support payer modernization, design data solutions, and turn complex health services data into insights that inform decision-making within our Advisory practice. As a Senior Manager you will leverage your influence, skills, and network to guide large projects, coach teams through ambiguity, and communicate clear recommendations that connect technical detail with business goals. In this role at PwC, you will draw on data science and data engineering methods to develop, refine, and present data-driven solutions that support client needs and operational priorities.
Responsibilities
- Leading payer data engineering initiatives that align analytics solutions with healthcare client needs and modernization goals
- Designing data pipelines, data models, and interoperability frameworks that support claims, membership, and provider data use cases
- Applying statistical analysis, machine learning, and data science methods to translate complex payer data into actionable insights
- Directing technical delivery across large programs, balancing scope, timelines, and team execution through ambiguous work
- Advising clients on payer platform strategy, data architecture, and operational improvements that support member and provider outcomes
- Validating data quality, lineage, and security controls across healthcare data environments, including HIPAA and regulatory requirements
- Coaching team members through technical problem solving, code review, and data science workflow refinement
- Presenting findings and recommendations to client stakeholders using clear narratives, visualizations, and decision-focused analysis
What You Must Have
- At least a Bachelor's degree
- At least 7 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 healthcare data engineering experience supporting modernization efforts
- Applying data engineering skills across analytics, modeling, and visualization initiatives
- Utilizing healthcare payer, claims, or membership data in client-facing delivery
- Leading complex data projects and coaching teams through ambiguity
- Translating technical findings into clear, actionable client messages
Travel Requirements
Up to 80%Job Posting End Date
The salary range for this position is: $124,000 - $280,000. 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-glanceAs 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-workFor 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
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