Applied AI Health System Engineer – Senior Manager

Industry/Sector

Health Services

Specialism

Data, Analytics & AI

Management Level

Senior Manager

Job Description & Summary

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.

Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation.

Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm.

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

Craft and convey clear, impactful and engaging messages that tell a holistic story.
Apply systems thinking to identify underlying problems and/or opportunities.
Validate outcomes with clients, share alternative perspectives, and act on client feedback.
Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations.
Deepen and evolve your expertise with a focus on staying relevant.
Initiate open and honest coaching conversations at all levels.
Make difficult decisions and take action to resolve issues hindering team effectiveness.
Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm’s code of conduct, and independence requirements.

The Opportunity

As part of the Data and Analytics Engineering team, you will lead the development of innovative AI solutions tailored for health systems. As a Senior Manager, you will serve as a strategic advisor, leveraging your knowledge to drive project success and operational excellence while fostering productive teams that tackle complex healthcare challenges.

Responsibilities

• Lead the creation of innovative AI solutions for healthcare systems
• Serve as a trusted advisor, utilizing knowledge to enhance project outcomes
• Foster collaboration within dynamic teams to address complex challenges
• Drive operational excellence through creative problem-solving approaches
• Cultivate relationships with stakeholders to promote alignment on project goals
• Guide teams in navigating ambiguity and delivering impactful results
• Promote a culture of continuous improvement and professional development
• Uphold adherence to industry standards and practices in AI implementation

What You Must Have

• Bachelor’s Degree
• At least 8 years of experience

What Sets You Apart

• Demonstrated experience delivering production AI or GenAI use cases in a health system environment
• Hands-on experience building RAG pipelines or agentic AI workflows against clinical data sources
• Experience with MLOps platforms and model governance practices in regulated, PHI-handling environments
• Ability to translate clinical and revenue cycle workflows into structured AI use case requirements
• Familiarity with Azure OpenAI Service, AWS Bedrock, or Google Vertex AI in a HIPAA-compliant deployment context
• Understanding of population health program design and how AI accelerates outcomes
• Proven record of success managing healthcare AI and GenAI solutions
• Experience in analytical techniques applied to healthcare use cases
• Experience working with data warehouse technology including Snowflake or Databricks

Travel Requirements

Up to 80%

Job Posting End Date

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 locati…