Bachelor's degree with 5-8 years of experience, Master's preferred with 8-10 years.
In-depth understanding of healthcare workflows in clinical and revenue cycles.
Knowledge of operational challenges and opportunities for transformation in healthcare.
Familiarity with AI capabilities, limitations, and healthcare use cases.
Experience with healthcare data standards and interoperability (e.g., HL7, FHIR).
Responsibilities
Lead domain-level ownership of AI-driven solutions in Revenue Cycle.
Develop a roadmap and portfolio aligned with enterprise priorities.
Identify opportunities for clinical and operational impact using AI.
Translate domain challenges into actionable solution opportunities and use cases.
Monitor solution performance and drive continuous improvement post-deployment.
Benefits
Opportunities for professional development and training on emerging technologies.
Cross-functional collaboration with clinical, IT, and engineering teams.
Impactful role driving innovation in healthcare through AI solutions.
Exposure to advanced healthcare data analytics and transformation initiatives.
Full Job Description
Responsibilities
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.
Key responsibilities include:
Domain Ownership & Strategy
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.
Solution Identification & Use Case Development
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.
AI & Data-Driven Solution Design
Apply data literacy and AI fluencyto:
Ask the right questions of data and models
Define meaningful metrics
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.
Cross-Functional Orchestration
Act as the primary interface between:
Clinical and operational leaders
IT and engineering teams
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.
Value Realization & ROI Accountability
Define and track clinical, operational, and financial value metricsfor 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.
Solution Lifecycle & Continuous Improvement
Oversee lifecycle from ideation through deployment and optimization.
Ensure solutions are:
Adopted effectively
Integrated into workflows
Continuously improved based on feedback and data
Drive iterative enhancement strategies leveraging new technologies and learnings.
Change Management & Adoption
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.
Qualifications
Knowledge:
Bachelor's degree required with 5-8 years of related experience. Master's degree with 8-10 years of experience preferred
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
Skills:
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
License or Registration Requirements: Licensure not required. Clinical or RCM certifications are a plus.
Travel Requirements: up to 10-15% domestic US travel.
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