VP, Data Science and AI

VP, Data Science & AI Department: Technology Location: Remote FLSA Status: Exempt People Leader: Yes Travel: Up to 10% (based on business need) Summary Company Summary Accuity serves hospital and health system clients’ revenue cycle management needs by optimizing their financial results through a complete and compliant physician-led capture of the clinical record. To continue to improve outcomes for our healthcare clients, Accuity has developed technology-enabled intelligence to supplement our unique approach anchored in clinical expertise. Job Summary To continue to increase the reach of services and drive business growth through the application of modern data science and applied AI methods, Accuity is seeking a VP, Data Science & AI to lead a team of skilled resources in support of the strategic priority to become a data-driven and outcomes-oriented organization. The successful candidate will bring deep experience with machine learning, predictive modeling, statistical analysis, mathematical optimization, algorithm development, artificial intelligence, and a passion for working with healthcare data. This role leads Accuity’s internal data science team and serves as the technical owner and counterpart for external AI development partners, accountable for the methodology, evaluation rigor, and production performance of AI systems including generative and agentic LLM-based systems that Accuity deploys and must operate independently over time. Reporting to the Chief Technology Officer, this role is responsible for advancing Accuity’s data science and AI roadmap, governing predictive and generative/LLM-based systems, and ensuring AI solutions are measurable, auditable, scalable, compliant, and operationally effective in a PHI/HIPAA-regulated healthcare environment. Responsibilities Strategy and AI Leadership Serve as the company-wide leader for data science and applied AI initiatives, including predictive modeling, generative AI, LLM-based systems, and agentic workflows. Build and maintain Accuity’s data science and AI roadmap in alignment with enterprise technology priorities, business growth goals, operational needs, and client value. Identify opportunities across the business to apply data science and AI to improve clinical documentation integrity, coding accuracy, reimbursement optimization, quality outcomes, productivity, and decision support. Develop business cases, success criteria, and return-on-investment measures for data science and AI initiatives. Translate business, clinical, operational, and financial needs into clear technical requirements, solution approaches, implementation plans, and measurable outcomes. AI Development, Evaluation, and Production Performance Own evaluation-driven development, including ground-truth datasets, evaluation frameworks, and the metrics that determine whether AI systems are production-ready. Define and compute the performance metrics that govern commercial and incentive terms, ensuring they are reproducible and auditable. Monitor, manage, and optimize production performance for predictive and generative/LLM-based systems, including subgroup performance, quality trends, calibration, drift, and measurable business impact. Lead rapid testing, deployment, validation, and iteration cycles to improve model and system performance over time. Partner with data architecture, engineering, security, and operations teams to operationalize new models and AI systems into stable, scalable production workflows. Maintain hands-on technical credibility through direct engagement in data analysis, model evaluation, solution design, technical review, and applied AI problem solving as needed. External Partner and Vendor Technical Oversight Serve as Accuity’s technical owner and counterpart for external AI development partners, including partners supporting generative AI, LLM-based, and agentic systems. Provide technical oversight of external AI partners by validating their architecture, methodology, deliver…