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PricewaterhouseCoopers (PwC)

Global professional services: assurance, tax, consulting

Applied AI Health Data Architect - Health Services

Data Management +1Posted on Nov 10
Full-time

About the Job

Requirements

  • At least a bachelor's degree is required.
  • At least 7 years of experience is required.

Responsibilities

  • Lead applied AI and health data architecture initiatives for provider data environments, translating business goals into scalable data solutions.
  • Design cloud-native data platforms, pipelines, and integration patterns across AWS, Azure, Databricks, and Snowflake.
  • Develop data models, warehouse structures, and transformation logic that support analytics, AI workloads, and operational reporting.
  • Guide data modernization efforts that migrate legacy systems into modern architectures with improved performance, security, and usability.
  • Oversee data quality, validation, governance, and anonymization practices across sensitive health data domains.
  • Apply data engineering methods to tune pipelines, optimize queries, and improve database and warehouse performance.
  • Advise client stakeholders on data strategy, architecture decisions, and AI-ready platform design within complex provider environments.
  • Lead teams through delivery planning, issue resolution, and technical coordination across multiple workstreams.
  • Coach practitioners on data engineering platforms, digital tooling, and AI-enabled solution delivery.
  • Present solution options, tradeoffs, and implementation paths that support modernization priorities and future data capabilities.

Desired Qualifications

  • Preference for a degree in at least one of the following fields: Analytics/Data Science, Business Administration/Management, Computer Science/Information Systems, Economics, Engineering, Finance, Mathematics/Statistics, or Operations/Supply Chain.
  • Demonstrated data architecture leadership for healthcare provider modernization initiatives.
  • Utilization of AWS, Azure, Databricks, or Snowflake for cloud data platforms.
  • Application of AI fluency to data engineering and architecture decisions.
  • Ability to translate client needs into scalable data modernization roadmaps.
  • Experience leading complex, multi-team delivery with composure and sound judgment.

About the Company

PricewaterhouseCoopers (PwC)

Global professional services: assurance, tax, consulting

PwC provides assurance (audit), tax, legal services, consulting and deals advisory to organisations worldwide. It uses multidisciplinary teams across accounting, advisory, technology and industry, delivered through a global network of locally established firms that collaborate with technology partners to offer AI, cloud, managed services and digital trust. PwC differentiates itself with an integrated, global-local service model and technology-enabled offerings that address complex client needs across risk, transformation, reporting and sustainability. Its goal is to help clients improve governance, efficiency and value by supporting reporting accuracy, business transformation, risk management and sustainable practices.

Company size
10,001+
Company stage
Early VC
Total funding
$3.3M
Headquarters
London, United Kingdom
Founded
1989

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