Leads payer modernization data science and analytics engineering workstreams for healthcare clients. Manages teams, budgets, timelines, and deliverables while guiding exploratory, statistical, predictive, and machine learning analyses. Oversees data pipelines, models, quality controls, interoperability solutions using FHIR and HL7, and compliance with HIPAA and regulatory requirements. Coaches junior professionals, reviews technical work, collaborates with client leaders, and presents findings supporting platform modernization, cost reduction, and member experience improvements.
The Opportunity
As a Payer Forward Deployed Engineer, Manager you will support data and analytics engineering work within our Advisory practice, focusing on data science solutions that help turn complex payer data into usable insights for decision-making and operating model improvements. As a Manager you will lead teams, coach junior professionals, and guide workstreams through planning, execution, and review while using technology and innovation to address client needs across Health Services and Payer Modernisation initiatives.
In this role at PwC, you will shape delivery across multiple priorities, align technical work to business needs, and support quality, timelines, and client service expectations. You will also use your understanding of data science methods, analytics, and data visualization to guide solution design, identify risks in delivery, and help the team adapt as requirements change.
Responsibilities
- Leading payer modernization data science workstreams from discovery through delivery for healthcare clients
- Managing project plans, timelines, and budgets across analytics and engineering assignments
- Guiding teams in exploratory analysis, statistical modeling, and predictive modeling for business decisions
- Building data pipelines, data models, and data quality controls for claims, membership, and provider data
- Applying machine learning, natural language processing, and AI tools to support payer use cases
- Developing solutions that improve healthcare data interoperability across FHIR and HL7 standards
- Reviewing technical deliverables for accuracy, completeness, and alignment with client requirements
- Coaching team members on data science workflows, experimentation methods, and analytical problem solving
- Collaborating with client leaders to identify opportunities in platform modernization, operating cost reduction, and member experience improvement
- Validating adherence to HIPAA, regulatory, and technical requirements across data and analytics work products
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 prior consulting support for payer modernization initiatives
- Utilizing data science, analytics, or engineering methods in healthcare settings
- Managing client workstreams, timelines, and deliverables across teams
- Applying knowledge of healthcare payer platforms, processes, or member experience
- Coaching junior team members through analysis and solution delivery
- Presenting findings to client stakeholders with clarity and confidence
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
As a Payer Forward Deployed Engineer, Manager you will support data and analytics engineering work within our Advisory practice, focusing on data science solutions that help turn complex payer data into usable insights for decision-making and operating model improvements. As a Manager you will lead teams, coach junior professionals, and guide workstreams through planning, execution, and review while using technology and innovation to address client needs across Health Services and Payer Modernisation initiatives.
In this role at PwC, you will shape delivery across multiple priorities, align technical work to business needs, and support quality, timelines, and client service expectations. You will also use your understanding of data science methods, analytics, and data visualization to guide solution design, identify risks in delivery, and help the team adapt as requirements change.
Responsibilities
- Leading payer modernization data science workstreams from discovery through delivery for healthcare clients
- Managing project plans, timelines, and budgets across analytics and engineering assignments
- Guiding teams in exploratory analysis, statistical modeling, and predictive modeling for business decisions
- Building data pipelines, data models, and data quality controls for claims, membership, and provider data
- Applying machine learning, natural language processing, and AI tools to support payer use cases
- Developing solutions that improve healthcare data interoperability across FHIR and HL7 standards
- Reviewing technical deliverables for accuracy, completeness, and alignment with client requirements
- Coaching team members on data science workflows, experimentation methods, and analytical problem solving
- Collaborating with client leaders to identify opportunities in platform modernization, operating cost reduction, and member experience improvement
- Validating adherence to HIPAA, regulatory, and technical requirements across data and analytics work products
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 prior consulting support for payer modernization initiatives
- Utilizing data science, analytics, or engineering methods in healthcare settings
- Managing client workstreams, timelines, and deliverables across teams
- Applying knowledge of healthcare payer platforms, processes, or member experience
- Coaching junior team members through analysis and solution delivery
- Presenting findings to client stakeholders with clarity and confidence
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
PwC San Francisco, California, USA Office
405 Howard Street Suite 600, San Francisco, CA, United States, 94105
PwC San Jose, California, USA Office
488 Amaden Boulevard, San Jose, CA, United States, 95110
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