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.
