PwC
Applied AI Health Data Architect [Health Services- Provider]-Senior Manager
Be an Early Applicant
Leads applied AI and health data architecture initiatives for payer clients. Designs cloud-native platforms, pipelines, data models, integrations, and modernization roadmaps across AWS, Azure, Databricks, and Snowflake. Oversees data quality, governance, anonymization, performance optimization, and legacy migrations while advising stakeholders on AI-ready architectures. Manages multi-team delivery, resolves technical issues, presents solution tradeoffs, and coaches practitioners.
The Opportunity
As a Applied AI Health Data Architect you will shape data architecture solutions that support health services provider clients, bringing together data engineering, analytics, and AI to improve how information is structured, integrated, and used across cloud environments. As a Senior Manager you will lead large projects, bring strategic direction to complex data modernization efforts, and use sound judgment to guide teams and stakeholders through changing priorities and technical complexity. In this role at PwC, you will work within our Advisory practice and within our Data, Analytics & AI services to design data platforms, support cloud-native architecture decisions, and contribute to delivery across AWS, Azure, and Google Cloud Platform environments for health sector clients.
Responsibilities
- Leading applied AI and health data architecture initiatives for provider data environments, translating business goals into scalable data solutions
- Designing cloud-native data platforms, pipelines, and integration patterns across AWS, Azure, Databricks, and Snowflake
- Developing data models, warehouse structures, and transformation logic that support analytics, AI workloads, and operational reporting
- Guiding data modernization efforts that migrate legacy systems into modern architectures with improved performance, security, and usability
- Overseeing data quality, validation, governance, and anonymization practices across sensitive health data domains
- Applying data engineering methods to tune pipelines, optimize queries, and improve database and warehouse performance
- Advising client stakeholders on data strategy, architecture decisions, and AI-ready platform design within complex provider environments
- Leading teams through delivery planning, issue resolution, and technical coordination across multiple workstreams
- Coaching practitioners on data engineering platforms, digital tooling, and AI-enabled solution delivery
- Presenting solution options, tradeoffs, and implementation paths that support modernization priorities and future data capabilities
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 architecture leadership for healthcare provider modernization initiatives
- Utilizing AWS, Azure, Databricks, or Snowflake for cloud data platforms
- Applying AI fluency to data engineering and architecture decisions
- Translating client needs into scalable data modernization roadmaps
- Leading complex, multi-team delivery with composure and sound judgment
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
#LI-Hybrid
#BI-Hybrid
As a Applied AI Health Data Architect you will shape data architecture solutions that support health services provider clients, bringing together data engineering, analytics, and AI to improve how information is structured, integrated, and used across cloud environments. As a Senior Manager you will lead large projects, bring strategic direction to complex data modernization efforts, and use sound judgment to guide teams and stakeholders through changing priorities and technical complexity. In this role at PwC, you will work within our Advisory practice and within our Data, Analytics & AI services to design data platforms, support cloud-native architecture decisions, and contribute to delivery across AWS, Azure, and Google Cloud Platform environments for health sector clients.
Responsibilities
- Leading applied AI and health data architecture initiatives for provider data environments, translating business goals into scalable data solutions
- Designing cloud-native data platforms, pipelines, and integration patterns across AWS, Azure, Databricks, and Snowflake
- Developing data models, warehouse structures, and transformation logic that support analytics, AI workloads, and operational reporting
- Guiding data modernization efforts that migrate legacy systems into modern architectures with improved performance, security, and usability
- Overseeing data quality, validation, governance, and anonymization practices across sensitive health data domains
- Applying data engineering methods to tune pipelines, optimize queries, and improve database and warehouse performance
- Advising client stakeholders on data strategy, architecture decisions, and AI-ready platform design within complex provider environments
- Leading teams through delivery planning, issue resolution, and technical coordination across multiple workstreams
- Coaching practitioners on data engineering platforms, digital tooling, and AI-enabled solution delivery
- Presenting solution options, tradeoffs, and implementation paths that support modernization priorities and future data capabilities
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 architecture leadership for healthcare provider modernization initiatives
- Utilizing AWS, Azure, Databricks, or Snowflake for cloud data platforms
- Applying AI fluency to data engineering and architecture decisions
- Translating client needs into scalable data modernization roadmaps
- Leading complex, multi-team delivery with composure and sound judgment
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
#LI-Hybrid
#BI-Hybrid
PwC Charlotte, North Carolina, USA Office
214 North Tryon Street Suite 4200, Charlotte, NC, United States, 28202
Similar Jobs at PwC
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Leads Appian and BPM solution architecture across client engagements, setting technical direction for low-code workflow, case management, automation, and integration solutions. Translates business needs into scalable platform designs, standards, and roadmaps; advises executives on modernization; guides implementation decisions; evaluates automation opportunities; validates security, performance, and compliance; develops client relationships and business development; and mentors architecture and delivery teams.
Top Skills:
AppianBpmCase ManagementCloud IntegrationEnterprise Integration ArchitectureLow-Code PlatformsMicrosoft Power PlatformPegaWorkflow Automation
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Implements and optimizes ServiceNow GRC and IRM solutions for client governance, risk, and compliance programs. Designs workflows, data structures, controls-testing processes, reports, and risk-management capabilities. Translates regulatory and operational requirements into technology features, analyzes business needs, supports deployment, identifies control and process gaps, and develops compliance insights. Collaborates with clients, manages assigned workstreams, resolves issues, and guides junior team members.
Top Skills:
Governance Risk And Compliance (Grc)Integrated Risk Management (Irm)Servicenow
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Leads SAP managed services engagements, setting strategic direction, overseeing delivery across SAP platforms, managing executive client relationships, and driving business development. The role translates client needs into service plans, oversees application support and modernization, guides solution design and issue resolution, develops operating models, and mentors delivery leaders. It also supports S/4HANA transitions, technology integration, operational efficiency, and growth across SAP advisory offerings.
Top Skills:
Digital ToolingEnterprise SoftwareErpSAPSap AribaSap CxSap S/4HanaSap SuccessfactorsSap Supply ChainSystems Integration
What you need to know about the Charlotte Tech Scene
Ranked among the hottest tech cities in 2024 by CompTIA, Charlotte is quickly cementing its place as a major U.S. tech hub. Home to more than 90,000 tech workers, the city’s ecosystem is primed for continued growth, fueled by billions in annual funding from heavyweights like Microsoft and RevTech Labs, which has created thousands of fintech jobs and made the city a go-to for tech pros looking for their next big opportunity.
Key Facts About Charlotte Tech
- Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
- Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
- Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
- Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus

