Director of Revenue Cycle Analytics & Product Strategy

📍 Job Overview

Job Title: Director of Revenue Cycle Analytics & Product Strategy

Company: R1 RCM

Location: Remote (Illinois, United States)

Job Type: Full time

Category: Revenue Operations / Analytics / Product Strategy

Date Posted: 2026-09-04

Experience Level: 10+ years

Remote Status: Fully Remote

🚀 Role Summary

• Lead the enterprise-wide strategic vision and roadmap for revenue cycle analytics, encompassing Central Delivery, Customer Partners, and client operations.

• Build, mentor, and manage a high-performing analytics team focused on delivering actionable insights and scalable solutions.

• Drive the development and delivery of advanced analytics products, including dashboards, scorecards, and self-service capabilities to enhance financial and operational performance.

• Standardize performance measurement, KPIs, and data standards across both Hospital Billing and Professional Billing functions.

• Leverage deep revenue cycle expertise and product leadership to translate complex data (e.g., Epic Clarity) into measurable financial and operational improvements.

• Champion the integration of automation, Artificial Intelligence (AI), and modern analytics to strengthen decision-making and improve customer outcomes within the healthcare revenue cycle.

📝 Enhancement Note: This role is positioned as a senior leadership position within Revenue Operations, specifically focusing on the analytics and product strategy aspects of the revenue cycle. The emphasis on "enterprise strategy," "roadmap," and "leading a high-performing analytics organization" indicates a significant scope of influence and responsibility. The integration of AI, automation, and self-service capabilities suggests a forward-thinking approach to revenue cycle management.

📈 Primary Responsibilities

• Define and execute the enterprise-level strategy and roadmap for revenue cycle analytics, ensuring alignment with business objectives across Central Delivery, Customer Partners, and clients.

• Cultivate and lead a high-performing analytics team, fostering a culture of innovation, data-driven decision-making, and continuous improvement.

• Provide strategic guidance and consultation to operational leaders, executives, and client stakeholders on performance trends, growth opportunities, and key improvement initiatives.

• Develop and deliver scalable analytics products, including interactive dashboards, performance scorecards, and robust self-service reporting tools, empowering stakeholders with data access.

• Establish and enforce consistent reporting, Key Performance Indicators (KPIs), and data standards for both Hospital Billing and Professional Billing operations to ensure data integrity and comparability.

• Translate complex data from systems like Epic Clarity and other revenue cycle platforms into actionable insights that drive measurable financial and operational improvements.

• Implement disciplined product management practices for roadmap planning, prioritization, stakeholder engagement, and value realization of analytics initiatives.

• Collaborate closely with Product Management, Technology, and Data Engineering teams to co-create and deliver scalable, enterprise-grade analytics solutions.

• Drive the adoption and advancement of automation, AI, and modern analytics techniques to enhance decision-making processes and elevate customer outcomes within the revenue cycle.

📝 Enhancement Note: The responsibilities highlight a blend of strategic leadership, team management, product development, and technical execution. The emphasis on translating "Epic Clarity and revenue cycle data into measurable financial and operational improvement" points to a need for deep understanding of healthcare financial systems and data structures. The requirement to "advance automation, AI, and modern analytics" underscores the role's focus on innovation and future-proofing the revenue cycle operations.

🎓 Skills & Qualifications

Education:

• Bachelor's degree required; equivalent experience will be considered in lieu of a degree. Experience:

• Minimum of 10 years of progressive professional experience.

• At least 5 years of experience in a management or leadership role, overseeing analytics or operations teams. Required Skills:

• Proven expertise in revenue cycle management within the healthcare industry, understanding the end-to-end financial processes.

• Strong strategic planning and roadmap development capabilities for analytics and product initiatives.

• Demonstrated ability to build, lead, and mentor high-performing analytics or operations teams.

• Proficient in translating complex data into actionable business insights and driving measurable financial and operational improvements.

• Experience defining and standardizing Key Performance Indicators (KPIs) and data reporting across different business units or functions.

• Excellent stakeholder management and communication skills, with the ability to advise executive-level audiences.

• Familiarity with healthcare data systems and structures, particularly those related to billing and patient financial services. Preferred Skills:

• Epic Resolute Hospital Billing or Epic Clarity certifications are highly desirable.

• Experience with advanced analytics techniques, Artificial Intelligence (AI), and intelligent automation within a revenue cycle context.

• Proficiency in product management methodologies, including roadmap planning, prioritization, and stakeholder engagement.

• Experience with data engineering principles and collaborating with data engineering teams.

• Familiarity with workflow orchestration tools and their application in optimizing operational processes.

• Experience in a Shared Services or Central Delivery operational model within healthcare.

📝 Enhancement Note: The qualifications emphasize a blend of deep domain expertise in healthcare revenue cycle management and strong leadership capabilities. The preference for Epic Clarity/Resolute certifications directly points to the need for hands-on experience with a dominant Electronic Health Record (EHR) system in healthcare, crucial for data extraction and analysis. The inclusion of AI, automation, and product strategy indicates a modern approach to operations leadership.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase examples of developing and implementing enterprise-level analytics strategies and roadmaps that led to demonstrable improvements in financial or operational metrics.

• Present case studies detailing the creation and deployment of scalable analytics products (dashboards, scorecards, self-service tools) and their impact on stakeholder decision-making.

• Include evidence of standardizing KPIs, data definitions, and reporting frameworks across complex organizations, highlighting the challenges overcome and outcomes achieved.

• Demonstrate experience in translating data from specific healthcare systems (e.g., Epic Clarity) into actionable insights that drove measurable revenue cycle improvements.

• Provide examples of how you have advanced the use of AI, automation, or modern analytics to solve complex business problems within an operational context. Process Documentation:

• Document the methodology used for defining analytics product requirements, including stakeholder input, prioritization frameworks, and agile development processes.

• Illustrate processes for ensuring data integrity, accuracy, and standardization across disparate systems and reporting tools.

• Detail the approach for measuring the value realization and ROI of analytics initiatives, including tracking adoption and impact on key business objectives.

• Showcase experience in establishing and managing product roadmaps, including communication plans and change management strategies for new analytics solutions.

📝 Enhancement Note: For a Director-level role focused on analytics and product strategy, a portfolio is critical. It should not only demonstrate past achievements but also the candidate's strategic thinking, process-oriented approach, and ability to drive tangible results through data and technology. Emphasis should be placed on quantifiable outcomes and the strategic impact of their work.

💵 Compensation & Benefits

Salary Range: $117,000 - $194,847.37 per year

Benefits:

• Eligible to participate in an annual bonus plan with a target of 20.00%.

• Competitive benefits package, including health, dental, and vision insurance.

• Opportunities for professional development and continuous learning.

• Retirement savings plan (e.g., 401(k)) with potential company match.

• Paid time off (PTO), holidays, and sick leave.

• Potential for stock options or other equity-based compensation, depending on company policy. Working Hours:

• Standard full-time work schedule, likely around 40 hours per week.

• Flexibility may be offered for remote work, allowing for management of personal schedules within business needs.

📝 Enhancement Note: The salary range provided is specific and competitive for a Director-level role in the US, particularly in the analytics and product strategy domain within healthcare. The bonus target of 20% is a significant incentive. The mention of a "competitive benefits package" and the link provided suggests a comprehensive offering beyond base salary and bonus. The working hours are standard, but the remote nature allows for greater schedule flexibility.

🎯 Team & Company Context

🏢 Company Culture

Industry: Healthcare Technology / Revenue Cycle Management Services. R1 RCM is a leading provider of technology-driven solutions focused on improving patient experience and financial performance for healthcare providers. They leverage advanced technology, including analytics, AI, and intelligent automation, to streamline revenue cycle operations.

Company Size: R1 RCM is a significant player in the healthcare RCM space, indicated by its substantial employee base (likely in the thousands, though not explicitly stated here). This size suggests a complex organizational structure with opportunities for broad impact and cross-functional collaboration.

Founded: While the founding date isn't provided, R1 RCM has established itself as a major provider in the industry, suggesting a history of growth and evolution in its service offerings and technological capabilities.

Team Structure:

• The analytics team is likely structured to support various facets of the revenue cycle, including hospital billing, professional billing, and shared services.

• This role will report to a senior executive (e.g., SVP of Operations, Chief Revenue Officer, or similar) and will manage a team of analysts, data scientists, and potentially product managers focused on analytics.

• Cross-functional collaboration is paramount, requiring close partnerships with operational leaders, Product Management, Technology, Data Engineering, and client-facing teams. Methodology:

• Data analysis and insights are central to R1 RCM's approach, utilizing advanced technologies like AI and intelligent automation.

• Workflow planning and optimization are key to improving efficiency and financial outcomes in the revenue cycle.

• Automation and efficiency are core drivers of their service offerings, aiming to reduce manual processes and enhance accuracy.

Company Website: https://R1RCM.com

📝 Enhancement Note: Understanding R1 RCM's position as a technology-driven healthcare solutions provider is crucial. The company culture likely values innovation, efficiency, and data-driven decision-making. The role's success will depend on navigating a large, complex organization and influencing various stakeholders.

📈 Career & Growth Analysis

Operations Career Level: This is a Director-level position, signifying a senior leadership role responsible for strategic direction, team management, and significant operational impact within the revenue cycle analytics domain. It requires a seasoned professional with a proven track record in both analytics and leadership.

Reporting Structure: The Director will likely report to a Vice President or Senior Vice President overseeing Revenue Cycle Operations, Analytics, or Technology. They will manage a team of analysts and potentially product specialists.

Operations Impact: This role has a direct impact on R1 RCM's ability to deliver value to its clients and improve its own operational efficiency. By driving strategic analytics, product development, and AI/automation initiatives, the Director will influence revenue capture, cost reduction, and client satisfaction.

Growth Opportunities:

• Advancement to Vice President or Chief Analytics Officer roles within R1 RCM or a similar organization.

• Specialization in specific areas of healthcare analytics, AI in healthcare, or product management for enterprise solutions.

• Opportunity to lead larger, more complex analytics and product portfolios, potentially expanding into new service lines or markets.

• Development of leadership skills through managing larger teams and influencing executive-level strategy.

📝 Enhancement Note: This role offers a significant platform for career growth within the healthcare technology and revenue cycle management sector. The combination of analytics, product strategy, and leadership responsibilities provides a well-rounded development path for aspiring senior operations leaders.

🌐 Work Environment

Office Type: Fully Remote. This indicates a distributed workforce, requiring strong communication and collaboration tools and practices to maintain team cohesion and productivity.

Office Location(s): While the role is remote, it is based in the United States, with a specific mention of Illinois, suggesting potential alignment with US-based time zones (e.g., Central Time).

Workspace Context:

• Remote employees are expected to have a dedicated, professional workspace conducive to focused work and virtual meetings.

• Access to company-provided or standard collaboration and communication tools (e.g., Slack, Microsoft Teams, Zoom) is essential.

• The work environment emphasizes autonomy and self-management, with a focus on output and achieved results rather than physical presence.

• Opportunities for virtual team-building activities and cross-functional collaboration will be facilitated through digital platforms. Work Schedule:

• The standard 40-hour work week applies, but the remote nature allows for greater flexibility in managing daily schedules, provided work is completed and meetings are attended.

• Occasional travel for key meetings, conferences, or team off-sites may be required, although the role is primarily remote.

📝 Enhancement Note: The fully remote nature of this position is a significant factor. Candidates should be comfortable working independently, managing their time effectively, and utilizing digital tools for all aspects of collaboration and communication. The specific mention of Illinois suggests potential alignment with Central Time Zone operations.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter will likely conduct an initial phone screen to assess basic qualifications, experience, and cultural fit.

• Hiring Manager Interview: A more in-depth discussion with the hiring manager focusing on leadership experience, strategic thinking, and understanding of revenue cycle analytics.

• Panel Interview(s): Interviews with key stakeholders, including peers from Product, Technology, Data Engineering, and operational leaders. These may involve behavioral questions, technical deep dives, and scenario-based problem-solving.

• Case Study/Presentation: Candidates may be asked to prepare and present a strategic analysis or product roadmap based on a provided business challenge relevant to revenue cycle analytics. This will assess strategic thinking, analytical skills, and presentation capabilities.

• Executive Interview: A final interview with a senior executive to confirm strategic alignment and suitability for the Director role.

Portfolio Review Tips:

• Quantify Impact: For each project or initiative presented, clearly articulate the quantifiable results (e.g., percentage increase in revenue capture, reduction in denial rates, improvement in collection cycle time).

• Showcase Strategic Thinking: Highlight how your work aligned with broader business objectives and contributed to the company's strategic goals.

• Demonstrate Process: Explain the methodologies you employed (e.g., Agile, Lean, specific analytics frameworks) and the steps taken to achieve outcomes.

• Highlight Collaboration: Provide examples of successful cross-functional collaboration and how you managed stakeholder expectations.

• Tailor to the Role: Emphasize projects related to enterprise analytics strategy, product development, AI/automation in revenue cycle, and Epic data analysis.

Challenge Preparation:

• Revenue Cycle Deep Dive: Be prepared to discuss current trends, challenges, and best practices in healthcare revenue cycle management.

• Analytics Strategy: Articulate your approach to developing and implementing an enterprise-wide analytics strategy, including data governance, tool selection, and team development.

• Product Management: Understand product lifecycle management, roadmap prioritization, and go-to-market strategies for analytics products.

• AI/Automation: Discuss how you would leverage AI and automation to improve revenue cycle efficiency and effectiveness.

• Stakeholder Management: Prepare examples of how you have influenced senior leaders and managed competing priorities.

📝 Enhancement Note: The interview process for a Director role is typically rigorous, involving multiple stages and a focus on strategic capabilities. A well-prepared portfolio that showcases quantifiable achievements and strategic thinking will be a significant advantage. The case study component is crucial for assessing practical application of skills.

🛠 Tools & Technology Stack

Primary Tools:

• Analytics Platforms: Proficiency with enterprise-level business intelligence and analytics platforms such as Tableau, Power BI, QlikView, or similar.

• Data Warehousing & ETL: Familiarity with data warehousing concepts and Extract, Transform, Load (ETL) processes, potentially involving tools like SQL Server Integration Services (SSIS), Informatica, or cloud-based solutions.

• Data Visualization: Expertise in creating compelling data visualizations and interactive dashboards.

• Cloud Platforms: Experience with cloud environments like AWS, Azure, or Google Cloud Platform, particularly for data storage and analytics services.

Analytics & Reporting:

• SQL: Advanced proficiency in SQL for data extraction, manipulation, and analysis from relational databases.

• Statistical Software: Experience with statistical programming languages like R or Python for advanced analytics, modeling, and data science tasks.

• Reporting Tools: Ability to design and manage various reporting formats, from ad-hoc queries to automated executive reports.

• Performance Metrics: Deep understanding of key healthcare revenue cycle metrics and how to track and report on them effectively.

CRM & Automation:

• CRM Systems: While not a primary focus, understanding how CRM data might integrate with revenue cycle analytics could be beneficial.

• Automation Tools: Familiarity with workflow automation platforms, Robotic Process Automation (RPA) tools, or AI-driven automation solutions relevant to business processes.

• Integration Tools: Understanding of how different systems are integrated to ensure seamless data flow.

• Epic Systems: Crucially, deep understanding and likely hands-on experience with Epic's data structures (Epic Clarity, Caboodle) and modules (Resolute Hospital Billing, Professional Billing) is a significant advantage, if not a requirement.

📝 Enhancement Note: The technology stack for this role is heavily focused on data analytics, business intelligence, and potentially advanced data science. Proficiency with SQL and BI tools is essential. The explicit mention of "Epic Clarity" and "revenue cycle data" points to a critical need for expertise in healthcare-specific data systems.

👥 Team Culture & Values

Operations Values:

• Data-Driven Decision Making: A commitment to leveraging data and analytics to inform all strategic and operational decisions, fostering a culture where insights drive action.

• Customer Focus: A dedication to understanding and meeting the needs of both internal operational teams and external clients, ensuring that analytics solutions deliver tangible value and improve the patient experience.

• Innovation & Continuous Improvement: An ethos of constantly seeking new and better ways to leverage technology, AI, and automation to enhance efficiency, accuracy, and effectiveness within the revenue cycle.

• Collaboration & Transparency: Promoting open communication, knowledge sharing, and teamwork across departments to ensure alignment and collective success in achieving organizational goals.

• Accountability & Ownership: Fostering a sense of responsibility for outcomes, encouraging individuals and teams to take ownership of their work and deliver on commitments.

Collaboration Style:

• Cross-Functional Integration: A proactive approach to working with diverse teams (Product, Technology, Operations, Client Services) to ensure analytics initiatives are well-aligned with business needs and technically feasible.

• Process Review Culture: Encouraging regular reviews of existing processes and analytics solutions to identify areas for optimization, automation, and improvement.

• Feedback Exchange: Creating an environment where constructive feedback is welcomed and utilized to refine strategies, products, and team performance.

• Strategic Partnership: Acting as a strategic partner to operational leaders, providing insights and solutions that enable them to achieve their performance targets.

📝 Enhancement Note: R1 RCM's culture likely emphasizes innovation, data-centricity, and client success, given its position in the healthcare technology sector. The values and collaboration style should reflect a forward-thinking, results-oriented, and team-focused approach essential for a Director driving analytics and product strategy in a complex environment.

⚡ Challenges & Growth Opportunities

Challenges:

• Data Complexity & Standardization: Integrating and standardizing data from various sources, particularly within the complex healthcare ecosystem and diverse client environments, to ensure consistent and reliable analytics.

• Pace of Technological Change: Keeping abreast of and effectively integrating rapidly evolving technologies such as AI, machine learning, and advanced automation within the revenue cycle.

• Stakeholder Alignment: Gaining consensus and buy-in from diverse stakeholders with potentially competing priorities across operational departments, technology teams, and client organizations.

• Demonstrating ROI: Clearly articulating and quantifying the return on investment for analytics initiatives, especially in areas like AI and predictive modeling, to justify ongoing investment.

• Talent Acquisition & Retention: Building and retaining a high-performing analytics team in a competitive market for specialized skills.

Learning & Development Opportunities:

• Advanced Analytics & AI: Opportunities to deepen expertise in cutting-edge analytics techniques, predictive modeling, and AI applications specific to healthcare finance.

• Product Management Skills: Formal or informal training in product management methodologies, user experience (UX) design, and market strategy for enterprise software.

• Leadership Development: Access to leadership training programs, executive coaching, and opportunities to mentor junior team members.

• Industry Conferences & Certifications: Support for attending relevant industry conferences (e.g., HIMSS, HFMA) and pursuing advanced certifications in analytics, product management, or specific technologies.

📝 Enhancement Note: This role presents significant challenges related to data, technology adoption, and stakeholder management, which are typical for leadership positions in dynamic industries. However, these challenges also translate into substantial growth opportunities for individuals looking to expand their expertise and leadership capabilities in revenue cycle analytics and product strategy.

💡 Interview Preparation

Strategy Questions:

• "Describe your process for developing an enterprise-wide analytics strategy and roadmap. How would you prioritize initiatives to maximize impact for R1 RCM and its clients?" (Preparation: Focus on strategic frameworks, stakeholder input, data governance, and ROI justification.)

• "How would you approach standardizing KPIs and reporting across Hospital Billing and Professional Billing functions? What are the key challenges, and how would you overcome them?" (Preparation: Discuss data mapping, defining common metrics, change management, and the role of technology.)

• "Imagine a scenario where client operational performance is declining. How would you leverage analytics and your team to diagnose the root cause and propose solutions?" (Preparation: Outline a structured problem-solving approach, data analysis steps, and how to present findings and recommendations.) Company & Culture Questions:

• "Based on your understanding of R1 RCM, how would you ensure your analytics product strategy aligns with the company's mission to improve patient experience and financial performance?" (Preparation: Research R1 RCM's values, recent news, and strategic priorities.)

• "How do you foster a collaborative environment within your analytics team and with cross-functional partners like Product and Technology?" (Preparation: Provide specific examples of collaboration strategies and conflict resolution.)

• "How do you measure the success and impact of your analytics initiatives and products, particularly those involving AI or automation?" (Preparation: Discuss key metrics, ROI calculation methods, and reporting on value realization.) Portfolio Presentation Strategy:

• Structure Your Narrative: For each portfolio example, clearly state the problem, your approach/solution, the technologies used, and the quantifiable results achieved.

• Focus on Strategic Impact: Emphasize how your work contributed to broader business goals, not just technical execution.

• Be Ready for Deep Dives: Anticipate questions about the specifics of your projects, including challenges, trade-offs, and lessons learned.

• Demonstrate Leadership: Highlight instances where you led teams, influenced stakeholders, and drove change.

• Tailor to R1 RCM: Connect your experience and portfolio examples to the specific needs and context of R1 RCM and the healthcare revenue cycle.

📝 Enhancement Note: Preparing for this Director-level interview requires demonstrating not only technical acumen but also strategic vision, leadership capability, and a deep understanding of the healthcare revenue cycle. The portfolio presentation is a critical component for showcasing practical experience and impact.

📌 Application Steps

To apply for this operations position:

• Submit your application through the provided Workday link on the R1 RCM careers page.

• Customize Your Resume: Tailor your resume to highlight experience in revenue cycle management, analytics strategy, product development, AI/automation, and leadership roles. Use keywords from the job description such as "Revenue Cycle Analytics," "Product Strategy," "Epic Clarity," "AI," and "stakeholder management."

• Prepare Your Portfolio: Curate 2-3 key projects that best demonstrate your strategic thinking, analytical capabilities, leadership experience, and quantifiable impact on financial or operational metrics. Focus on examples relevant to healthcare revenue cycle management and analytics product development.

• Research R1 RCM: Thoroughly understand R1 RCM's business model, services, target clients, and recent company news. Familiarize yourself with their technology stack and approach to revenue cycle management.

• Practice Your Narrative: Rehearse your answers to common interview questions and prepare a compelling walkthrough of your portfolio highlights, focusing on the strategic and business impact of your work.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.