Director Analytics & Business Intelligence

Director Analytics & Business Intelligence Experience: Not Available to Not Available years Location: Gurugram, India Skills: Power BI, Tableau, Qlik Sense, QlikView, SQL Server, Snowflake, Oracle, Azure, AWS, Redshift, Informatica, SSIS, Talend, Alteryx, SQL, Python, R, AI, ML, Agile, Scrum, DevOps About R1 RCM R1 is the leading provider of technology-driven solutions that transform the patient experience and financial performance of hospitals, health systems and medical groups. We are the one company that combines the deep expertise of a global workforce of revenue cycle professionals with the industrys most advanced technology platform, encompassing sophisticated analytics, AI, intelligent automation and workflow orchestration. With over 30,000 employees globally and a robust presence in India, comprising over 17,000 employees across Delhi NCR, Hyderabad, Bangalore, and Chennai, we foster an inclusive culture where every team member feels valued and empowered. Our mission is to transform the healthcare industry by driving efficiency for healthcare systems, hospitals, and physicians. About the Role R1 RCM is seeking an accomplished and strategic leader for the role of Director Analytics & Business Intelligence to drive enterprise-scale analytics, reporting transformation, data integration, and business intelligence capabilities supporting our global Revenue Cycle Management operations. This leadership role will be responsible for managing a large, high-performing analytics organization supporting multiple RCM functions across Hospital and Physician Revenue Cycle processes. The role requires close partnership with US business leaders, operations leadership, technology teams, and India-based functional stakeholders to deliver actionable insights, operational intelligence, and scalable analytics solutions that improve financial outcomes, operational efficiency, and client experience. The Director will lead a diverse organization spanning Data Integration, BI Development, Reporting Operations, Advanced Analytics, Automation, and Specialized Insights teams like Contract Modelling and Net Revenue Variance Analytics. Key Responsibilities Enterprise Analytics Leadership 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. Data Integration & Engineering 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. Business Intelligence & Reporting 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. Specialized Analytics & Insights 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. Stakeholder & Client Engagement 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. Coll .