Managed Services - Data Analytics & Business Intelligence - Manager

Data Analytics And BI LeadIn this role you will lead managed services data analytics and BI workstreams for healthcare revenue cycle operations, turning data into actionable insights. You will guide cross-functional teams, coach colleagues, and ensure timely, high-quality deliverables aligned with client needs. You'll translate business requirements into dashboards and data models while safeguarding security and privacy. This role sits within PwC's Advisory practice (Cybersecurity) and offers exposure to scalable analytics solutions that support data-driven decision making.Compensation / Benefitsmedicaldentalvision401kholiday payvacationResponsibilitiesLead managed services data analytics and BI workstreams for healthcare revenue cycle operationsOversee planning, budgeting, execution, and delivery of analytics initiatives across client engagementsTranslate business requirements into dashboards, reporting, and data models to monitor operational performanceAnalyze system data flows and identify linkages across clinical, billing, collections, and reporting processesGuide teams in using Azure Data Factory and cloud-based data pipelines for data integration and refresh routinesReview analytics deliverables for accuracy, security, privacy, and complianceCoach team members on analytical methods and development of technical skillsAddress data quality, reporting, and delivery issues with clients and stakeholders while escalating risksApply cybersecurity, privacy compliance, and security controls to protect sensitive information in analytics solutionsIdentify opportunities to improve reporting automation and operational insight through advanced analytics and AI toolsKey RequirementsBachelor's degree5+ years of experienceExperience leading client workstreams across revenue cycle operations and reportingProficiency with Azure Data Factory, Agile, and digital toolingAbility to manage delivery timelines and mentor teamsKnowledge of data flows across systems, data, and process improvementsCoaching and mentoringStakeholder managementStrong communicationAzure Data FactoryCloud-based data pipelinesData analytics and business intelligence