Assistant Vice President, Healthcare Data & AI

AVP, Healthcare Data And AI

Kaufman, Hall & Associates, LLC, is seeking an AVP, Healthcare Data and AI, to support the development, implementation, and ongoing enhancement of Kaufman Hall's next generation healthcare insights capability, and to support the development of Kaufman Hall's overall data strategy.

This role will focus on applying data science, advanced analytics, and AI-enabled tooling to support the development of a scalable platform that helps consultants access, analyze, and apply complex healthcare data and insights. The AVP, Data and AI, will play a critical role in designing and maintaining the analytical foundation, including data models, analytical methodologies, AI-enabled capabilities, benchmarking approaches, and other technical components that support the platform.

In addition, as Kaufman Hall develops a future-focused data strategy, this role will play a key leadership role in identifying gaps in data access, availability and coordination, and identifying opportunities to enhance Kaufman Hall's overall data platform.

The successful candidate will collaborate closely with the Innovation and Insights team, healthcare subject-matter experts, business stakeholders, and other technology partners to translate business needs into analytical solutions. This role will support the ongoing evolution of Kaufman Hall's Insight Engine by developing innovative approaches for organizing, analyzing, and deriving value from complex healthcare datasets. We seek a technically curious and analytically rigorous individual who is excited about applying advanced data science techniques to create meaningful business value in the healthcare industry while working in a fast-paced and entrepreneurial environment.

• Develop, deploy, and maintain analytical models, algorithms, AI-enabled capabilities, and other data science solutions that support healthcare benchmarking, performance analysis, entity relationships, and intelligence generation within Kaufman Hall's Insight Engine.
• Support development of a cohesive Kaufman Hall data strategy, enabling required data and access mechanisms, and ensuring coordination of data assets across practices.
• Collaborate with the Innovation and Insights team to translate healthcare data, business requirements, and consulting needs into scalable analytical solutions that support Insight Engine functionality, use cases, and decision-making.
• Support the evaluation, organization, integration, and ongoing management of large and complex healthcare datasets to ensure analytical accuracy, reliability, and usability.
• Partner with technology teams and other technical resources to develop and maintain scalable tools, applications, and infrastructure supporting Insight Engine.
• Conduct research and remain current on emerging analytical techniques, artificial intelligence capabilities, and data science methodologies to identify opportunities to enhance Insight Engine.
• Ensure analytical models, data assets, technical solutions, and supporting documentation are maintained to support future enhancement, auditing, and ongoing operation of the capability.

The ideal candidate will possess:

• 7+ years of progressive data science, advanced analytics, AI-enabled analytics and/or other relevant experience required. Experience with large data models, healthcare finance, healthcare operations, healthcare analytics, or healthcare data preferred. Prior consulting experience preferred.
• Experience developing, utilizing, and deploying data science methodologies such as machine learning, AI, predictive analytics, optimization modeling, operations research, advanced statistical analysis, or mathematical modeling within business environments.
• Proficiency in Python. Experience with SQL, PySpark, business intelligence tools, cloud data platforms, statistical software (R, SAS), or related technologies preferred.
• Experience developing, testing, and deploying analytical models using large and complex datasets.
• Ability to translate business requirements into analytical solutions and communicate technical concepts effectively to nontechnical audiences.
• Strong analytical, problem-solving, and critical-thinking skills.
• Experience working across multiple projects and collaborating with both technical and business stakeholders.
• Strong oral, written, presentation, and interpersonal communication skills.
• Basic understanding of healthcare financial and operational performance concepts preferred.
• Self-directed learner who…