Thank you for considering a career at Ensemble Health Partners!

Ensemble Health Partners is a leading provider of technology-enabled revenue cycle management solutions for health systems, including hospitals and affiliated physician groups. They offer end-to-end revenue cycle solutions as well as a comprehensive suite of point solutions to clients across the country.

Ensemble keeps communities healthy by keeping hospitals healthy. We recognize that healthcare requires a human touch, and we believe that every touch should be meaningful. This is why our people are the most important part of who we are. By empowering them to challenge the status quo, we know they will be the difference

The Opportunity:

Job Summary

The VP, Analytics is responsible for building AI and Machine learning models and pipelines, with a focus on generative AI, LLMs and predictive modelling. The successful candidate will work closely with business owners to understand their data requirements and product specification in order to help them make data-related decisions and product design choices. The role will also require close work with data scientists, software engineers and developers to deliver solutions. Another crucial part will be defining the strategic priorities for AI and GenAI development across the company and educating both technical and business teams about the latest development in AI. The job role may also require you to learn new tools and technologies fast, which will be well supported by in-depth ML/AI knowledge as well as basic programming and scripting skills.

You should have expertise in the design, development, management, and maintenance of systems and handling of large datasets. You should have hands on experience with common machine learning and AI frameworks, and a good knowledge of AI and machine learning fundamentals (deep learning, regression, classification and clustering algorithms), retrieval augmented generation pipelines, as well as a good grasp of the design and evaluation of LLM-supported use cases.

Job Competencies

Leadership Decision Making - Makes day-to-day leadership decisions by securing and comparing information from multiple sources to identify issues; commits to an action after weighing alternative solutions against important criteria; effectively communicates decisions to the appropriate people and teams and holds them accountable. Drives results.

Coaching & Building Talent - Achieves results through other leaders by empowering them and providing feedback, instruction and development (coaching the coach) to develop their own associates; plans and supports the growth of individual skills and abilities in preparation for their next role (building bench); focuses on retention of high performers.

Delegation - Successfully shares authority and responsibilities with others to move decision making and accountability downward through the organization while accomplishing strategic priorities; maintains personal ownership of outcomes without excessive involvement.

Leading Teams - Inspires and sustains team unity and engagement by developing, motivating, and guiding the team to achieve results together through productive relationships and work.

Executive Communication - Clearly and succinctly conveys information and ideas; communicates in a focused and compelling way that captures and holds others’ attention (appropriate, impactful, and clear).

Program/Project Management - Demonstrates high accountability and responsibility for projects and programs from inception through completion/implementation; manages budget and resource planning and awareness to ensure maximized output, reduced waste and exceptional results.

Essential Job Functions

· Design, develop, and oversee the implementation of end-to-end AI solutions, including LLM-based and general machine learning use cases.

· Define AI solution objectives and ensure alignment with business outcomes

· Develop and ensure Interoperability between client systems, internal teams and other third-party vendors.

· Educate team members and bring both technical staff and business stakeholders up to speed with recent AI trends.

· Present key findings, recommend enhancements and work with business owners to enhance product development.

· Evaluate predictive models as well as LLM-based technologies at scale.

· Act as primary respondent to questions regarding AI and Machine Learning applications.

· Build, enhance and maintain the data models, interfaces and application integration required to support growing and changing business needs.

· Collaborate with internal and external clients to respond to growing needs of the business, troubleshoot issues, and expand capabilities of the product.

· Meaningfully contribute to the strategic direction of AI initiatives within the company

Other Preferred Knowledge, Skills and Abilities

• 5+ years experience leading a data science/machine learning team with clear deployment experience.
• PhD or MSc in Computer Science/Machine Learning/AI, or related work experience with the design, building and evaluation of Machine Learning systems.
• 5+ years’ experience with Machine Learning ecosystem tools, including pytorch/tensorflow, scikit-learn, xgboost or equivalents.
• Proven ability to research and execute solutions based on novel algorithms and machine learning tooling.
• Ability to design, implement, test and deploy Machine Learning models.
• Experience working with and evaluating LLM-based pipeline, with an emphasis on retrieval augmented generation and prompting techniques is a plus.
• Familiarity with langchain/llamaindex/haystack/Azure AI studio, vector databases and retrieval techniques, or equivalent common tools in the emerging LLM-enabled tech stack is a plus.
• Proficiency in accessing and handling databases via SQL, Azure Data Factory or similar.
• Alternatively, familiarity with data storage/management systems or Big Data frameworks (like Hadoop, Spark) expected to be known or used.
• Proficiency in Software Development best practices such as Continuous Integration, Unit/Integration Testing, Code Reviews.
• Understanding of MLOps fundamentals, including orchestration tools, cloud compute, and observability tools.
• Proven ability to read research papers, critique and execute based on them.
• Knowledge of Revenue Cycle Management, Collections, or financial industries is desirable but not necessary.
• Ability to work both independently and in a team-based, fast-paced environment.
• Excellent communication skills, both written and verbal.

Desired Work Experience

10 or More

People Leadership Experience

5 to 10 Years

Education Level

Post Graduate Degree or Equivalent Experience

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Join an award-winning company

Three-time winner of “Best in KLAS” 2020-2022

2022 Top Workplaces Healthcare Industry Award

2022 Top Workplaces USA Award

2022 Top Workplaces Culture Excellence Awards

• Innovation

• Work-Life Flexibility

• Leadership

• Purpose + Values

Bottom line, we believe in empowering people and giving them the tools and resources needed to thrive. A few of those include:

• Associate Benefits –  We offer a comprehensive benefits package designed to support the physical, emotional, and financial health of you and your family, including healthcare, time off, retirement, and well-being programs. 
• Our Culture – Ensemble is a place where associates can do their best work and be their best selves. We put people first, last and always. Our culture is rooted in collaboration, growth, and innovation.  
• Growth – We invest in your professional development. Each associate will earn a professional certification relevant to their field and can obtain tuition reimbursement. 
• Recognition – We offer quarterly and annual incentive programs for all employees who go beyond and keep raising the bar for themselves and the company. 

Ensemble Health Partners is an equal employment opportunity employer. It is our policy not to discriminate against any applicant or employee based on race, color, sex, sexual orientation, gender, gender identity, religion, national origin, age, disability, military or veteran status, genetic information or any other basis protected by applicable federal, state, or local laws.  Ensemble Health Partners also prohibits harassment of applicants or employees based on any of these protected categories.

Ensemble Health Partners provides reasonable accommodations to qualified individuals with disabilities in accordance with the Americans with Disabilities Act and applicable state and local law. If you require accommodation in the application process, please contact TA@ensemblehp.com.

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