As a Data Modernization [Health Services-Payer]-Senior Manager you will lead data engineering efforts that design and develop data solutions for clients, focusing on data pipelines, data integration, and data transformation within our Data and Analytics Engineering practice. As a Senior Manager you will lead large projects, bring a strategic point of view, and guide teams through complexity while using sound judgment, clear communication, and a steady approach to client challenges. In this role at PwC, you will shape data infrastructure and systems that help turn raw data into actionable insights, while drawing on your network, coaching others, and driving progress across multiple work streams.
Responsibilities
- Leading data modernization initiatives across healthcare payer environments, translating business needs into scalable data engineering solutions
- Designing and building data pipelines, data integration workflows, and transformation layers that support analytics and reporting
- Developing data architecture approaches that improve data flow, storage design, and system interoperability across cloud platforms
- Managing complex delivery efforts using Apache Airflow, Azure Data Factory, Databricks, and Snowflake to move data from source to target environments
- Applying data modeling, dimensional modeling, and warehouse design methods to support dependable reporting and analysis
- Evaluating data quality, validation rules, and performance tuning opportunities to improve pipeline reliability and query response times
- Advising clients on data strategy, modernization roadmaps, and operating models that align with payer data requirements
- Guiding teams through ambiguous delivery challenges, coaching technical staff, and driving clear decisions on issue resolution
- Collaborating with business, technology, and analytics stakeholders to align technical solutions with reporting, security, and compliance needs
- Advancing data governance, anonymization, security practices, and platform standards across modernization programs
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: Analytics/Data Science, Business Administration/Management, Computer Science/Information Systems, Economics, Engineering, Finance, Mathematics/Statistics, Operations/Supply Chain
- Demonstrating data modernization experience in payer health services environments
- Applying systems thinking to data architecture, integration, and transformation
- Leading client conversations through ambiguity and shifting priorities
- Coaching teams through complex delivery and decision points
- Crafting clear messages that connect technical work to business outcomes
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
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Skills Required
- Bachelor's degree or higher
- At least 7 years of experience
- Degree in analytics or data science, business administration or management, computer science or information systems, economics, engineering, finance, mathematics or statistics, or operations or supply chain
- Data modernization experience in payer health services environments
- Experience applying systems thinking to data architecture, integration, and transformation
- Experience leading client conversations through ambiguity and shifting priorities
- Experience coaching teams through complex delivery and decision points
- Ability to connect technical work to business outcomes through clear communication
PwC Compensation & Benefits Highlights
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Parental & Family Support — Paid parental leave is set at 12 weeks for all parents, complemented by adoption/surrogacy leave and family-caregiver leave. Backup childcare, childcare discounts, eldercare resources, tutoring, and fertility-related benefits further reinforce family support.
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Leave & Time Off Breadth — Time off spans vacation, holidays, personal/family sick time, bereavement, and other leave programs, with some practices including two firmwide week-long shutdowns in July and December. This breadth provides multiple avenues to step away when client demands allow.
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Retirement Support — A layered approach pairs a 401(k) with employer matching and an employer-funded Wealth Builder plan, both using graded vesting. This structure provides multiple avenues to build long-term savings.
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