Lead Analyst, Product Innovation
Thank you for considering a career at Ensemble!
Ensemble 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!
O.N.E Purpose:
Customer Obsession: Consistently provide exceptional experiences for our clients, patients, and colleagues by understanding their needs and exceeding their expectations.
Embracing New Ideas: Continuously innovate by embracing emerging technology and fostering a culture of creativity and experimentation.
Striving for Excellence: Execute at a high level by demonstrating our “Best in KLAS” Ensemble Difference Principles and consistently delivering outstanding results.
The Opportunity:
Job Summary
The Lead Analyst, Product Innovation drives the application of AI‑enabled, data‑driven capabilities across the Revenue Cycle Management (RCM) organization. This role focuses on leveraging Large Language Models (LLMs), Python‑based Azure OpenAI solutions, and modern data platforms to enhance analytics, streamline processes, and enable intelligent automation.
The Lead Analyst partners with product managers, engineers, data scientists, and operational stakeholders to assess business problems, explore feasibility, build pilots, and evaluate impact. The role requires strong analytical capability, RCM domain fluency, technical proficiency with Python and Azure ecosystem tools, and the ability to translate complex findings into actionable recommendations. This position supports innovation initiatives by defining opportunities, validating data, contributing to AI‑enabled workflows, and shaping solution requirements.
Core Competencies & Responsibilities
These representative competencies highlight what matters most for success in this role.
RCM & Business Understanding
Applies strong knowledge of healthcare Revenue Cycle workflows, pain points, and regulatory considerations.
Identifies viable opportunities for analytics, automation, and LLM‑enabled improvements.
Applied AI & LLM Solutioning
Uses practical experience with Generative AI and LLM applications (e.g., prompt engineering, RAG, Python‑based Pilots).
Focuses on applied problem‑solving, not advanced ML research.
Technical Execution (Python + SQL + Azure)
Builds pilots leveraging Python, Azure OpenAI, SQL, and Azure ecosystem tools.
Partners with engineering and data teams to validate data, refine requirements, and ensure scalable design.
Analytical Problem Solving
Breaks down complex problems, analyzes root causes, and structures analytical approaches.
Uses quantitative evidence to form recommendations.
Cross‑Functional Collaboration
Works with operations, product, engineering, and data science teams.
Contributes to requirements, design reviews, and pilot evaluations.
Clear Communication
Synthesizes complex findings into clear insights, summaries, and stakeholder‑ready outputs.
Essential Job Functions
Analyze current RCM workflows to identify opportunities for LLM‑based automation, analytics enhancements, or process optimization.
Conduct exploratory data analysis and develop Python pilots leveraging Azure OpenAI services.
Evaluate LLM output quality, test prompts, refine feature inputs, and support technical teams in shaping production‑ready requirements.
Participate in design and testing of GenAI pilots, RAG workflows, intelligent agents, and AI‑enabled decision support tools.
Prepare insights, feasibility assessments, and recommendations that inform product direction and business case development.
Assess new data sources, validate data quality, and ensure compliance with internal governance and regulatory standards.
Support cross‑functional sessions, requirements gathering, and documentation of solution designs.
Desired Experience & Education
Experience: 3–5 years in analytics, data‑driven problem solving, or AI/automation‑focused roles.
People Leadership: Not required.
Education: Bachelor’s degree or equivalent experience.
Preferred Study Areas: Computer Science, Analytics, or related fields.
This position pays between $101,600 - 152,400 based on experience and geographic location.
Must be inquisitive and demonstrate openness to innovation including AI to explore better processes and ways to alleviate friction and improve patient and client experiences.
This is a remote position; however, candidates must be willing and able to travel to and work onsite at client, temporary, or corporate office locations as business needs require.
This posting addresses s state specific requirements to provide pay transparency. Compensation decisions consider many job-related factors, including but not limited to geographic location; knowledge; skills; relevant experience; education; licensure; internal equity; time in position. A candidate entry rate of pay does not typically fall at the minimum or maximum of the role’s range.
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Join an award-winning company
Five-time winner of “Best in KLAS” 2020-2022, 2024-2025
Black Book Research's Top Revenue Cycle Management Outsourcing Solution 2021-2024
22 Healthcare Financial Management Association (HFMA) MAP Awards for High Performance in Revenue Cycle 2019-2024
Leader in Everest Group's RCM Operations PEAK Matrix Assessment 2024
Clarivate Healthcare Business Insights (HBI) Revenue Cycle Awards for strong performance 2020, 2022-2023
Energage Top Workplaces USA 2022-2024
Fortune Media Best Workplaces in Healthcare 2024
Monster Top Workplace for Remote Work 2024
Great Place to Work certified 2023-2024
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 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 also prohibits harassment of applicants or employees based on any of these protected categories.
Ensemble 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.
This posting addresses state specific requirements to provide pay transparency. Compensation decisions consider many job-related factors, including but not limited to geographic location; knowledge; skills; relevant experience; education; licensure; internal equity; time in position. A candidate entry rate of pay does not typically fall at the minimum or maximum of the role’s range.