AI Solution Manager – Revenue Cycle

UHS • King of Prussia, PA

5d • Remote

About The Position

The Corporate Information Services Department is seeking a dynamic and talented AI Solution Manager – Revenue Cycle. The Solution Manager holds broad, domain-level ownership (e.g., Revenue Cycle, Coding, Clinical) of AI-driven tools and solutions, which may range from specific applications to a comprehensive portfolio within the domain. Core responsibilities include identifying high-value opportunities, shaping innovative solution concepts leveraging emerging technologies, especially AI, and driving measurable operational and financial outcomes. This role entails full lifecycle ownership, acting as a critical bridge between business, clinical, and technical teams to translate complex domain challenges into scalable, high-impact solutions. The Solution Manager collaborates closely with engineering, data, and operational stakeholders to deliver custom-developed capabilities and continuously optimize them based on real-world performance metrics.

Requirements

• Bachelor's degree required with 5-8 years of related experience.
• Comprehensive understanding of clinical, administrative, or revenue cycle workflows within healthcare environments
• Strong knowledge of healthcare operational challenges and inefficiencies, including opportunities for transformation and automation
• Working knowledge of the solution and product lifecycle, from ideation through deployment and continuous improvement
• Understanding of AI capabilities, limitations, and appropriate use cases, particularly in healthcare settings
• Knowledge of healthcare data concepts and analytics, including how data is structured, measured, and interpreted
• Familiarity with healthcare data standards, interoperability, and information flow (e.g., HL7, FHIR)
• Understanding of user-centered design principles and how solutions integrate into clinical and operational workflows
• Knowledge of value drivers in healthcare, including clinical outcomes, operational efficiency, and financial performance
• Understanding of ROI frameworks and financial evaluation methods for technology investments
• Awareness of change management principles in healthcare IT and operational environments
• Ability to identify, frame, and prioritize complex domain problems and translate them into actionable solution opportunities
• Strong analytical and strategic thinking skills with the ability to connect business needs to scalable solutions
• Ability to define AI-enabled use cases, including setting success metrics and measurable outcomes
• Skill in interpreting data and AI outputs, and applying insights to decision-making and solution design
• Ability to translate between technical teams and clinical/operational stakeholders, ensuring alignment and clarity
• Excellent stakeholder communication and facilitation skills, including leading discovery sessions and workshops
• Ability to develop and articulate business cases, including ROI, cost-benefit analysis, and value realization
• Strong cross-functional leadership skills, with the ability to influence without direct authority
• Ability to manage competing priorities and maintain alignment across multiple initiatives within a domain
• Skill in driving adoption and change, ensuring solutions are effectively integrated into workflows
• Ability to monitor performance metrics and drive continuous improvement post-deployment
• Experience using structured approaches to requirements definition, workflow design, and solution documentation

Nice To Haves

• Master's degree with 8-10 years of experience preferred
• Clinical or RCM certifications are a plus.

Responsibilities

• Serve as the accountable leader for a defined healthcare domain (Clinical, HIM/Coding, or Revenue Cycle).
• Develop and maintain a domain-level roadmap and solution portfolio, aligned to enterprise priorities.
• Identify and prioritize opportunities with the highest clinical, operational, or financial impact.
• Stay current on emerging technologies (especially AI) and assess applicability to domain challenges.
• Translate complex domain problems into clearly defined solution opportunities and AI-enabled use cases.
• Define success criteria, value drivers, and measurable outcomes upfront.
• Evaluate feasibility across data availability, workflow integration, and technical constraints.
• Frame solutions as scalable capabilities, not one-off applications.
• Apply data literacy and AI fluency to ask the right questions of data and models, define meaningful metrics, and interpret outputs at a decision-making level.
• Understand AI capabilities, limitations, and risks to appropriately scope use cases.
• Partner with technical teams to shape architectures without directly designing systems.
• Act as the primary interface between clinical and operational leaders, IT and engineering teams, and data/AI resources.
• Translate domain needs into actionable requirements and align stakeholders around a common solution vision.
• Lead discovery sessions, workshops, and solution design discussions.
• Define and track clinical, operational, and financial value metrics for each solution.
• Build business cases and articulate ROI, including cost, benefit, and scalability considerations.
• Monitor performance post-deployment and drive optimization to ensure sustained value.
• Oversee lifecycle from ideation through deployment and optimization.
• Ensure solutions are adopted effectively, integrated into workflows, and continuously improved based on feedback and data.
• Drive iterative enhancement strategies leveraging new technologies and learnings.
• Lead domain-level change management efforts tied to new technologies.
• Partner with operational leaders to ensure user adoption and workflow integration.
• Support training and communication strategies for deployed solutions.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior