Applied AI Health Data Architect Senior Manager

PWC

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Chicago, ILRaleigh, NCCharlotte, NCCincinnati, OHCleveland, OH
Salary
$124,000–$280,000 / yr
Posted
37 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $189k
This role $202k
$105k most similar roles pay here $299k

This role pays more than 61% of similar roles. Most pay $154,737–$224,156 — the shaded band above. At the midpoint, this role pays about $202k versus about $189k for comparable roles.

Based on 240 similar postings.

Employer

About PWC

PwC (PricewaterhouseCoopers) is one of the "Big Four" accounting and professional services firms, providing audit, tax, and advisory services to companies, governments, and institutions worldwide. Industry: Professional Services & Accounting

PWC currently has 105 open roles on FindRole.

Listed pay typically runs $99,000–$232,000 across 103 roles with salary data.

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View all roles at PWC

At a glance

TL;DR · Applied AI Health Data Architect Senior Manager

As an Applied AI Health Data Architect-Senior Manager within the Data and Analytics Engineering team, you will design and implement comprehensive data architecture strategies to enhance healthcare operations. You will be responsible for developing data pipelines, managing integration solutions, and translating raw data into actionable insights while mentoring dynamic teams toward operational excellence. The role requires navigating complex health systems by bridging clinical, operational, and technical conversations to solve intricate problems. Key technical requirements include proficiency in Python or SQL for data transformation, experience with EMR back-end databases, and familiarity with HL7 v2, FHIR R4, and interoperability standards. You will also apply Gen AI techniques to healthcare use cases while ensuring compliance with HIPAA regulations and PHI handling requirements. Your work focuses on building robust infrastructure to support quality reporting and innovative data management in the health sector.

What you'll do

  • Design and execute strategic data architecture strategies to enhance healthcare operations.
  • Develop and implement robust data pipelines, integration, and transformation solutions.
  • Influence key stakeholders to align on innovative data solutions for health systems.
  • Build and mentor high-performing teams focused on operational excellence and technical standards.
  • Translate complex clinical and operational needs into actionable data insights.
  • Ensure all data practices comply with industry regulations and HIPAA requirements.
  • Apply advanced technologies, including Gen AI and Python/SQL, to solve healthcare use cases.

What we're looking for

  • At least 8 years of experience.
  • Experience with EMR back-end databases is preferred.
  • Familiarity with HL7 v2, FHIR R4, and interoperability standards.
  • Proven track record architecting data solutions for healthcare programs.
  • Knowledge of HIPAA compliance and PHI data handling requirements.
  • Proficiency in Python or SQL for data transformation.
  • Experience with healthcare-specific integration engines, middleware, and Gen AI techniques.
  • Bachelor's Degree.

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