AI Solution Manager - Clinical

Responsibilities The Corporate Information Services Department is seeking a dynamic and talented AI Solution Manager – Clinical. The Solution Manager holds broad, domain-level ownership (e.g., Revenue Cycle, Coding, Clinical) of AI‑driven tools and solutions. 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 involves full lifecycle ownership, acting as a 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 fluency to 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, and partner with technical teams to shape architectures. Cross‑Functional Orchestration: 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. Value Realization & ROI Accountability: 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. 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 U.S. travel. #J-18808-Ljbffr Universal Health Services