Full-Time
Director - Analytics & Business Intelligence
R1 RCM
10,001+ employees
Technology-driven revenue cycle management for providers
No salary listed
Noida, Uttar Pradesh, India
In Person
Bachelor's, Master's, MBA
 Data & Analytics (2) |
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- Bachelor’s degree in Engineering, Computer Science, Statistics, Mathematics, Healthcare Administration, or related discipline.
- 15+ years of progressive experience in Analytics, Business Intelligence, Data Engineering, or Reporting functions.
- 5+ years of leadership experience managing large global teams (200+ employees preferred).
- Proven success managing global stakeholder relationships, particularly with US-based business partners.
- Experience leading enterprise analytics transformation and large-scale reporting organizations.
- Define and execute the strategic roadmap for Analytics & BI aligned with organizational and client priorities.
- Drive analytics-led operational transformation initiatives across end-to-end Revenue Cycle Management functions including Patient Access, Coding, Billing, Denials, Collections, and Payment Posting.
- Collaborate with executive leadership across US and India teams to enhance data-driven decision-making and operational visibility.
- Lead enterprise KPI governance, reporting standardization, and analytics modernization initiatives.
- Establish scalable frameworks for self-service analytics and business intelligence adoption.
- Lead enterprise-wide data integration strategy across operational, financial, and client systems.
- Oversee development and optimization of ETL/ELT pipelines, data warehouses, and cloud-based analytics platforms.
- Ensure high standards of data quality, governance, security, and compliance across analytics ecosystems.
- Partner with technology and architecture teams to enhance automation and data accessibility.
- Oversee development and delivery of executive dashboards, operational scorecards, client reporting, and performance analytics.
- Ensure timely and accurate reporting supporting SLA management, productivity tracking, financial performance, and operational excellence.
- Drive adoption of visualization best practices and intuitive BI solutions for business stakeholders.
- Lead reporting transformation initiatives to improve efficiency, scalability, and automation.
- Standardization and optimization of reporting inventory
- Lead advanced analytics teams focused on forecasting, trend analysis, productivity optimization, denial analytics, workforce analytics, and revenue improvement opportunities.
- Identify opportunities to leverage predictive analytics, AI/ML, and intelligent automation within RCM workflows.
- Translate complex operational data into actionable business recommendations for leadership teams and clients.
- Serve as a strategic analytics partner to US and India operational leadership and client stakeholders.
- Present operational insights, business reviews, and strategic recommendations to senior leadership teams.
- Collaborate across Operations, Technology, Finance, Transformation, Quality, Compliance, and Client Services organizations.
- Support executive governance reviews, client presentations, and strategic transformation initiatives.
- Lead and inspire a high-performing analytics organization of 200+ professionals across multiple functions and delivery teams.
- Build strong leadership capability across managers, leads, and SMEs.
- Drive talent development, succession planning, employee engagement, and capability enhancement initiatives.
- Foster a culture of innovation, accountability, collaboration, and continuous improvement.
- Establish strong delivery governance models, SLA frameworks, prioritization mechanisms, and performance management standards.
- Drive process improvement, automation, and operational efficiency initiatives across analytics delivery.
- Ensure adherence to HIPAA, healthcare compliance standards, data privacy, and information security protocols.
- Manage risks, escalations, dependencies, and cross-functional coordination effectively.
- Master’s degree (MBA/MS) preferred.
- Experience in Healthcare Revenue Cycle Management (RCM) domain is a plus.
- BI & Visualization: Power BI, Tableau, Qlik Sense/QlikView
- Data Platforms: SQL Server, Snowflake, Oracle, Azure, AWS, Redshift
- ETL & Data Integration: Informatica, SSIS, Talend, Alteryx, or equivalent
- Analytics & Automation: SQL, Python, R, AI/ML exposure preferred
- Delivery Methodologies: Agile, Scrum, DevOps familiarity
- Strategic & Analytical Thinking
- Executive Presence & Stakeholder Management
- Global Delivery Leadership
- Data Storytelling & Insight Generation
- Large Team Management
- Client Relationship Management
- Operational Excellence
- Transformation & Change Leadership
- Cross-Functional Collaboration
- Innovation & Automation Mindset
R1 RCM provides revenue cycle management solutions for healthcare providers, helping hospitals, health systems, and physician groups manage patient service revenue from registration to denials. It uses technology and automation to streamline front-end, middle, and back-end workflows, aiming to reduce costs and increase net patient revenue while improving the patient experience. The company differentiates by offering end-to-end RCM across the full revenue cycle under long-term contracts with performance-based incentives, consolidating vendors and enabling data-driven insights. Its goal is to reduce administrative waste and improve financial performance so providers can focus more on patient care.
Company Size
10,001+
Company Stage
IPO
Headquarters
Murray, Utah
Founded
2003
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Simplify's Take
What believers are saying
- Providence is deploying Phare OS in 2026, validating enterprise adoption.
- R1 expanded AI engineering headcount by 70%, accelerating product rollout and iteration.
- Best in KLAS recognition on February 4, 2026 strengthens sales credibility with buyers.
What critics are saying
- R1 still depends on large health-system contracts; Ascension, Intermountain, Providence drive concentrated revenue.
- The 2021 Delaware litigation ended in a $45.4 million settlement, exposing governance scars.
- If Phare OS underdelivers, labor-heavy RCM rivals can undercut R1's premium AI narrative.
What makes R1 RCM unique
- Phare OS launched October 2025, unifying automation, AI, and human expertise.
- R1 serves 95 of top 100 U.S. health systems, including Providence and Singing River.
- Payer Atlas uses 600 million annual transactions and 1,500 payer connections for real-time adjudication.
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↑ 2%Building the foundations of financial and clinical success. Date 07/15/2026 How Lincoln Health targets stable growth to power investment. Lincoln Health is on a mission to serve its communities, and for the system's 70-year-old hospital in Hugo, Colorado that means modernizing and building new facilities. But for a rural health system operating on limited resources, that can be a daunting challenge. Learn how Lincoln Health chose to partner with R1 to improve their overall financial performance and stability, and why the relationship is a cornerstone of their strategy for capital improvement.
R1 Phare OS: medical coding meets real-time adjudication. June 19, 2026 On June 18, 2026, R1 - the healthcare revenue management company that works with 95 of the top 100 U.S. health systems - announced two new capabilities inside its Phare OS platform: Payer Atlas and Phare Intelligence. The stated goal is to resolve claims "as care happens, not weeks later." That framing deserves attention, because it implies a fundamental shift in how medical coding fits into the revenue cycle. Why claims resolution takes so long. The typical claim lifecycle unfolds in a sequence that hasn't changed much in decades. A patient encounter is documented, a coder assigns diagnosis and procedure codes, the claim is constructed and submitted, a payer reviews it against a policy rulebook, and - weeks later - a payment or denial arrives. At each handoff, information is translated from one language to another: clinical to coding, coding to claim, claim to payer interpretation. That translation chain is where friction accumulates and denials are born. Payers and providers have historically operated from different data models, and every mismatch in how a clinical fact is coded versus how a payer expects to see it documented creates the conditions for a rejection. Medical coders sit at one of the most consequential translation points in that chain. Payer Atlas: 1,500 payer connections at scale. The first new Phare OS capability is Payer Atlas, a proprietary intelligence layer with more than 1,500 payer connections and more than 600 million payer transactions processed annually. The premise is that payer behavior - what gets denied, under what circumstances, and by which plans - is learnable when you have enough transactional data. Payer Atlas converts that accumulated intelligence into prospective guidance that providers can act on before a claim is submitted. In practice, this means code combinations can be pre-validated against known payer behaviors at the point of coding. For medical coders, that creates a qualitatively different kind of feedback loop. Instead of learning that a claim was denied three weeks ago, the system can flag in real time that a particular code pair tends to trigger a medical-necessity denial with a specific payer in a specific service line. The correction happens before the claim leaves the building. Phare Intelligence: reading the entire medical record. The second new capability, Phare Intelligence, addresses the most persistent limitation of AI-assisted coding tools: their reliance on structured data fields and keyword matching rather than the full clinical narrative. Phare Intelligence reads the entire medical record - unstructured notes, operative reports, discharge summaries, pathology findings - and interprets the record holistically to produce: * Accurate medical necessity determinations linked to clinical evidence in the record * ICD-10-CM diagnosis codes and procedure codes derived from full clinical context * Appeal justifications grounded in specific documentation from the patient's record * Flags for documentation gaps that could affect adjudication before the claim is submitted The distinction matters because clinical documentation rarely maps neatly to code descriptions. A surgical note might describe a complication in plain language without using ICD-10 terminology. A discharge summary might reference a comorbidity that changes DRG assignment, but only if the reader processes the entire document rather than scanning for keywords. Phare Intelligence is designed to catch those cases - the ones where coding accuracy depends on reading what a clinician actually wrote, not just matching structured fields. As Dr. Martin Seneviratne, Co-CEO of R37 (R1's AI innovation lab), put it in the announcement: "The revenue cycle has been stuck in a reactive, transactional model for decades, with providers and payers locked into an expensive back-and-forth that serves neither." What real-time adjudication means for medical coders. The long-term vision behind Phare OS - real-time adjudication - would compress the claim lifecycle dramatically. Rather than coding completing an encounter, a claim being submitted, and corrections happening weeks later in response to denials, the system would align clinical documentation, coding, and payer policy in or near real time. A claim would be effectively adjudicated before it reaches the payer, because every factor that influences payer decisions has already been addressed. For medical coders, that shift creates both new constraints and new value. The window for catching errors narrows. The expectation shifts from fixing denials reactively to preventing them prospectively. Coders who understand how payer logic maps to coding decisions - not just how to assign codes - will be the ones best positioned to add value in that environment. Coding review becomes a real-time quality control function rather than a pre-billing audit task. The scale that makes payer intelligence actionable. Phare OS is currently live across R1 customer organizations representing more than $76 billion in Net Patient Revenue. That scope gives R1 something most point solutions cannot offer: a transaction dataset large enough to make payer behavior genuinely predictable at the code level. With 600 million payer transactions flowing through Payer Atlas each year, patterns that would be invisible to a single health system - a payer's tendency to deny a specific E&M level for a particular diagnosis, for instance - become detectable and actionable intelligence across the platform. This is the infrastructure play behind real-time adjudication. Coding accuracy at scale isn't just about knowing the guidelines; it requires knowing how specific payers respond to specific code combinations in specific service lines. That knowledge requires transaction data at a volume that individual health systems rarely accumulate on their own. What CDI teams should watch. If Phare Intelligence reads entire records to generate codes and medical necessity determinations, the completeness and clarity of clinical documentation becomes more consequential than ever. Vague language in an operative note doesn't just create coding risk - it creates adjudication risk at the moment a claim enters the system. CDI teams that have focused on documenting principal diagnosis and CCs for DRG optimization will need to expand their frame to include the full clinical narrative that AI tools now consume directly. The shift underway is from documentation as a billing prerequisite to documentation as the primary data input for an AI-driven adjudication system. Getting documentation right the first time is no longer just about compliance - it is the mechanism by which real-time adjudication becomes possible. Preparing for the next phase of revenue cycle. The R1 Phare OS update signals where the broader market is heading, even for organizations that aren't R1 customers. Payer-specific coding intelligence is becoming a baseline expectation, not a differentiator. Full-record reading is supplanting keyword matching as the standard for AI-assisted coding. And real-time adjudication is the benchmark against which revenue cycle performance will increasingly be measured. Medical coders who understand both the clinical context and the payer landscape - and who can work alongside AI tools rather than around them - are best positioned for that transition. Medikode's automated medical coding platform is built for exactly this shift, combining AI-assisted coding with real-time accuracy feedback so providers are prepared as the industry moves toward real-time adjudication.
R1 RCM has appointed Eric Tagliere as chief information officer to drive technology strategy and innovation as the healthcare revenue management leader transitions from a labour-first to technology-first model. Tagliere brings over 30 years of technology leadership experience. He most recently served as chief technology officer at Humana, where he led cloud and technology modernisation efforts. Prior to that, he held the same role at Marriott International, overseeing digital engineering and the technology integration of Starwood Hotels & Resorts. In his new role, Tagliere will work to advance R1's AI-enabled technology platform and operations. R1 partners with 1,000 healthcare providers, including 95 of the top 100 US health systems, and processes over 270 million payer transactions annually.
R1 appoints Eric Tagliere as Chief Information Officer. Date 06/09/2026 CHICAGO - June 9, 2026 - R1 ("R1" or the "Company"), the leader in healthcare revenue management, today announced that Eric Tagliere has joined the Company as Chief Information Officer. In this role, Mr. Tagliere will serve as a key partner to leaders across the organization, driving technology strategy, innovation, and execution as R1 continues to accelerate the transformation of healthcare revenue management from a labor-first to technology-first paradigm. Mr. Tagliere is a seasoned technology executive with more than 30 years of experience leading large-scale technology organizations and driving enterprise transformation. He most recently served as Chief Technology Officer at Humana, where he led the company's technology operations to advance their cloud and technology modernization strategy. Prior to that, he served as Chief Technology Officer at Marriott International, where he oversaw digital engineering and enterprise transformation for Marriott's global hotel portfolio, including the technology integration of Starwood Hotels & Resorts. "I am pleased to welcome Eric to R1 as we continue to strengthen our technology capabilities and position the Company for long-term, AI-enabled growth," said Joe Flanagan, Chief Executive Officer of R1. "With more than three decades of experience leading large-scale technology transformations, Eric is a proven leader who brings unique insights and capabilities to advance our technology strategy. His leadership will help us build a strong, scalable foundation that enables faster, more informed decision making for both our teams and our customers. I look forward to partnering with Eric as we continue to enhance our technology platform and operations." "It is an honor to join R1 as CIO," said Mr. Tagliere. "R1's enterprise-grade AI and automation capabilities are helping to deliver meaningful outcomes for patients and providers, and I am excited to build on that momentum. I look forward to working alongside the talented R1 team to advance the Company's technology strategy and deliver even greater value to our healthcare provider customers." About R1. R1 is the leader in healthcare revenue management, helping providers achieve new levels of performance through smart orchestration. A pioneer in the industry, R1 created the first Healthcare Revenue Operating System: a modular, intelligent platform that integrates automation, AI, and human expertise to strengthen the entire revenue cycle. With more than 20 years of experience, R1 partners with 1,000 providers, including 95 of the top 100 U.S. health systems, and handles over 270 million payer transactions annually. This scale provides unmatched operational insight to help healthcare organizations unlock greater long-term value. To learn more, visit: r1rcm.com. Contacts. R1. Mike Gilhooly Director of Public Relations and Communications [email protected] Joele frank, wilkinson brimmer katcher. Connect with R1 RCM Inc.. News.
R1 brings Phare OS and ai-powered revenue cycle innovation to HFMA Annual Conference. Date 06/01/2026 R1 at HFMA AC26: What to know. R1 is participating in the HFMA Annual Conference 2026, taking place June 7-10 in National Harbor, Maryland, where it will showcase Phare OS, its enterprise-grade AI revenue operating system for healthcare providers. R1 will also host a speaking session, "The New Mid-Cycle: How AI is Reshaping CDI + Coding," and meet with attendees at the R1 Lounge to discuss revenue cycle transformation, improving clinical documentation, denials management and delivering operational outcomes through people and technology. Phare OS, healthcare's first revenue operating system powered by enterprise-grade AI, takes center stage. Driven by an expanding AI-native platform, the launch of new revenue cycle solutions and growing customer adoption, R1 is highlighting robust growth at the HFMA Annual Conference (AC26). At the center of this momentum is Phare OS, R1's AI-powered revenue operating system, which unifies automation, artificial intelligence and human expertise across the revenue cycle to transform operations. The platform helps providers address rising administrative complexity and mounting margin pressure through a more connected, orchestrated, technology-first operating model. As providers face mounting pressure to do more with less, reduce staff burden and improve enterprise-wide outcomes, R1 sees growing demand for connected operating models that can deliver measurable impact at scale. Aligned with the conference theme of "Dare to Solve," R1 will showcase how it is helping providers improve financial performance, reduce administrative burden and capture the full value of the care they deliver. Join R1 at its speaking session to discover how AI-powered technology is transforming the healthcare revenue cycle. The New Mid-Cycle: How AI is Reshaping CDI + Coding Monday, June 8, 2026 2:00 pm - 2:25 pm (ET) Exhibit Hall: Capital Theater Presenters: Lee Kupferman, Co-CEO of R37 at R1 Sarah McGoldrick, EVP of Finance, Singing River Health System Healthcare organizations are confronting a new kind of mid-cycle complexity defined by rising regulatory scrutiny, workforce shortages and the expanding clinical and financial nuance embedded in documentation and code assignment. As documentation and coding requirements grow more complex, many health systems are questioning how to build a connected mid-cycle that is more precise, proactive and resilient. This session explores that opportunity, focusing on how emerging AI capabilities can bring greater consistency, clarity and collaboration to CDI and DRG workflows while supporting expert decision-making. Attendees will hear directly from leaders at R1 and Singing River, who will share practical insights into what comprehensive, end-to-end mid-cycle intelligence can look like - and how organizations can begin the transition from reactive review to predictive oversight. Attendees can connect with R1 at the HFMA Annual Conference by visiting the R1 Lounge in the exhibit hall foyer, where live music, snacks and networking opportunities offer a welcome space to relax and meet colleagues and R1 experts. Attendees are invited to stop by to talk about revenue cycle transformation and operational performance strategies. Those wanting a deeper conversation are encouraged to book a meeting or request a demo in advance to make the most of their time onsite. Introducing R1 and Done. R1 is also unveiling a new "R1 and Done" campaign at HFMA AC26. It's a simple way to express some big ideas in healthcare revenue. Like the idea that providers should not have to solve the same problems again and again. That a 40% administrative overhead characterized by friction and churn should not be accepted as the norm. And that R1 is the one partner that brings together people, platform, intelligence and execution to deliver holistic, technology-led revenue operations and better financial outcomes. R1's participation at HFMA AC26 comes amid growing demand for its enterprise-grade technology solutions. At the event, R1 will showcase solutions that bring together technology, workflow and operational insight in a more cohesive way, including flexible denial solutions that combine AI-assisted technology, advanced analytics and expert clinicians to recover more revenue and help prevent future denials. R1's solutions underscore its continued investment in building a more connected foundation for revenue cycle operations. R1 offers an integrated approach designed to simplify administration, improve coordination and drive stronger financial and operational performance. The future of revenue cycle transformation requires a connected operating model. R1 has been building that model deliberately and systematically and is excited to share its success with the dedicated healthcare finance professionals attending HFMA AC26. Request a meeting or stop by the R1 Lounge at the 2026 HFMA Annual Conference. News.