Leads payer healthcare data engineering and analytics initiatives, designing pipelines, data models, and interoperability frameworks for claims, membership, and provider data. Directs large technical programs, advises clients on data architecture and modernization, validates data quality and HIPAA controls, applies statistical and machine learning methods, coaches technical teams, and presents actionable recommendations to stakeholders.
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
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-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
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
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-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
PwC New York, New York, USA Office
300 Madison Ave, New York, NY, United States, 10017
PwC Florham Park, New Jersey, USA Office
400 Campus Drive, Florham Park, NJ, United States, 7932
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