Full-time
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.
To continue to increase the reach of services, driving business growth through the application of modern data science methods, Accuity is seeking a Vice President (VP), Data Science to lead the charge of data and AI initiatives and build the data science roadmap for the organization.
The VP, Data Science will lead Accuity's data science strategy, aligning data initiatives with business goals. They will oversee model development, AI/ML implementation and AI governance processes.
Acting as the company-wide data science lead, program managing multiple critical data and AI initiatives and directing the future of data science within the organization.
Coordinating multiple parties to launch data and AI initiatives.
Identifies opportunities across the business to advance data science in the interest of optimization.
Monitoring, managing, and optimizing program performance and impact and recommending program changes as required.
Is performance better in certain subgroups than others? Clearly communicating program performance and impact to business, finance, and executive level leadership.
Working closely with data architecture team to operationalize new models.
Program and stakeholder (internal and external) management.
Hands-on-keyboard programming, modelling, and data analysis.
This position will lead a team of data scientists.
Foster a growth oriented, inclusive and encouraging culture while maintaining accountability to company policies, procedures, and guidelines.
Maintain a strong and collaborative team of individuals working toward the same goal through effective communication, team building, and development opportunities.
Bachelor's degree in Computer Science, Information Technology, Business Administration, or a related discipline, to include Applied Mathematics or Statistical Analysis.
Master's degree in one of these fields is a plus.
8+ years' experience in a hands-on data science role.
Clear familiarity and comfort with fundamental data science principles (model creation, training, evaluation, ML ops, and internal communication).
Programming experience with some variety of data science, data management, and data visualization tools; for example, R, Python, SQL, SAS, PowerBI.
Familiarity with data warehouses, data architecture, and data operations principles.
Demonstrated experience in managing a data science initiative/program/function within an organization, including accountability to a program outcome, managing internal and external stakeholders (up to C-suite/executive level), and vendor management.
Experience with Azure DevOps or similar application lifecycle management tools is an asset.
revenue cycle management is an asset.
Strong familiarity with information security, risk management, and security compliance requirements.
Must be able to work in a dynamic, rapidly changing environment and interact with partners and customers directly.
Independent, focused individual able to work remotely or on-site.
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