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 payer 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 payer 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 payer 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 payer 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 payer 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 payer 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 payer 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 payer 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 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
Similar Jobs at PwC
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Designs and develops Azure-based generative AI solutions, including conversational applications, retrieval-augmented generation pipelines, agent workflows, cloud-native microservices, and LLM evaluation systems. The role uses Python, Azure AI Services, Azure OpenAI, LangGraph, vector databases, and DevOps practices to deploy and maintain client solutions. Responsibilities also include managing workstreams, communicating technical tradeoffs, reviewing deliverables, mentoring junior colleagues, and collaborating with clients.
Top Skills:
Azure Ai ServicesAzure Api ManagementAzure Kubernetes ServiceAzure Openai ServiceC#Claude CodeDevOpsEnterprise Service BusesGithub CopilotJavaScriptLangchainLanggraphLarge Language Model ApisLlmopsAzureModel Context ProtocolPythonVector Databases
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Designs and delivers Google Cloud, data modernization, and generative AI solutions for clients. Builds agentic workflows, retrieval-augmented generation systems, prompt engineering approaches, LLM integrations, vector database solutions, and AI-powered conversational applications. Develops Python components, applies LLM evaluation and LLMOps practices, translates business requirements into technical designs, manages workstreams, collaborates with stakeholders, and mentors junior team members.
Top Skills:
Agent OrchestrationAWSAzureETLGenerative AiGCPGoogle Vertex AiLlm ApisLlmopsNatural Language ProcessingPrompt EngineeringPythonRetrieval-Augmented GenerationVector Databases
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Leads Google Cloud-native engineering programs, overseeing application architecture, development, testing, modernization, and deployment. Directs multiple workstreams, shapes client roadmaps, advises on technical decisions, and develops generative AI solutions using Vertex AI, LLM APIs, LangChain, LangGraph, and retrieval-augmented generation. Builds executive client relationships, identifies business opportunities, governs LLMOps and quality practices, and coaches engineering, testing, and AI delivery teams.
Top Skills:
GCPGoogle Vertex AiLangchainLanggraphLlm ApisLlm EvaluationLlm GuardrailsLlmopsPrompt EngineeringPythonRetrieval-Augmented GenerationVector Databases
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
