Assistant Vice President, Healthcare Data & AI

When you’re the best, we’re the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future.

The Organization

We help society’s foundational healthcare institutions to achieve their full potential in service to others.

We are our clients’ trusted partners in ever-changing times. For nearly 40 years, Kaufman Hall has provided independent, objective insights grounded in sound data and analysis to help clients fulfill their missions, achieve their goals, and tackle their toughest problems.

Kaufman Hall provides world-class management consulting in Strategy & Business Transformation, Financial Planning & Data Analytics, Treasury & Capital Markets, Mergers & Acquisitions, Revenue & Operations Improvement, and Clinical Solutions.

At Kaufman Hall, we believe that sustained success is never an accident. It is the result of sound decision making, based on data-driven analysis and disciplined thinking, and guided by the fundamental principles of corporate finance.

The Position

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.

Key Responsibilities

• 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.

Qualifications

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 demonstrates intellectual curiosity, operates independently, and works effectively within a multidisciplinary team environment.
• An entrepreneurial spirit that is inquisitive, proactive, and interested in exploring new tools, technologies, and analytical approaches.
• Unquestionable commitment to personal and corporate integrity in every situation.
• Applicants for employment must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with Kaufman Hall (i.e., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status)

Education

• Bachelor’s degree required

Physical Requirements 

• Must be able to perform essential duties satisfactorily with reasonable accommodations
• Work is generally done sitting, talking, hearing and typing. Visual acuity to use a keyboard, prepare and analyze data and figures; transcribing, viewing a computer terminal; extensive reading

Work Environment 

• Travel Required: Occasional 0-10%.
• The role is remote (Chicago preferred).
• Work is regularly performed in a home office setting and routinely uses standard office equipment.
• It may require the maintenance of a home office and proximity to an airport for work related travel. 

Kaufman Hall is committed to providing equal opportunity for all employees and applicants. We recruit, hire, train, promote, pay, and administer all employment actions without regard to actual and also perceived or assumed protected group status as defined by law of an individual or that individual’s associates or relatives. Our policies and the law prohibit employment discrimination against any employee or applicant on the basis of any legally protected status.

Estimated Hiring Range:

At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $155,000 to $225,000.

Estimated Hiring Range:

This position is also incentive eligible.

Vizient has a comprehensive benefits plan! Please view our benefits here:

http://www.vizientinc.com/about-us/careers

Equal Opportunity Employer:   Females/Minorities/Veterans/Individuals with Disabilities

The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.