About The Position

The Managed Services - Data Analytics & Business Intelligence Manager leads client service work focused on turning data into actionable insights, developing reporting solutions, and supporting analytics programs that improve operational performance. Within PwC’s Advisory practice, the role sits in Cybersecurity and connects with managed services delivery across business and supply chain operations. The manager leads day-to-day execution of analytics and business intelligence efforts, reviews deliverables, supports team development through feedback and mentoring, and responds to client priorities with clear approaches to project work. The position applies business knowledge and technology to complex problems and contributes to managed service solutions supporting client operations and data-driven decision making. The role includes leading healthcare revenue cycle analytics workstreams and overseeing the planning, budgeting, execution, and delivery of analytics initiatives. It also involves translating business requirements into reporting, dashboard, and data model solutions; analyzing system data flows; and using tools such as Azure Data Factory to support data integration. The manager is responsible for quality, timelines, client communication, and applying security, privacy, and compliance considerations to analytics solutions. Travel may be required up to 40%.

Requirements

  • At least a Bachelor's degree.
  • At least 5 years of experience.

Nice To Haves

  • Preference for a field of study such as Business Administration/Management, Computer and Information Science, Information CyberSecurity, Information Technology, Management Information Systems, Computer Applications, or Computer Engineering.
  • Experience demonstrating data analytics and business intelligence delivery in managed services settings.
  • Experience leading client workstreams across revenue cycle operations and reporting.
  • Experience mentoring teams while reviewing deliverables and timelines.
  • Experience applying Azure Data Factory, Agile methodology, and digital tooling.
  • Experience analyzing operational linkages across systems, data, and process flows.

Responsibilities

  • Lead managed services data analytics and business intelligence workstreams for healthcare revenue cycle operations.
  • Oversee planning, budgeting, execution, and delivery of analytics initiatives across client service engagements.
  • Translate business requirements into dashboard, reporting, and data model solutions that support operational performance monitoring.
  • Analyze system data flows and identify linkages across clinical, billing, collections, and performance reporting processes.
  • Guide teams in the use of Azure Data Factory, cloud-based data pipelines, and digital tooling to support data integration and refresh routines.
  • Review analytics deliverables for accuracy, consistency, and alignment with security, privacy, and compliance requirements.
  • Coach team members on analytical methods, issue resolution, and development of technical skills across managed services work.
  • Address data quality, reporting, and delivery issues with clients and stakeholders, escalating risks where appropriate.
  • Apply cybersecurity, privacy compliance, and security control knowledge to protect sensitive client information within analytics solutions.
  • Identify opportunities to improve reporting automation, operational insight, and service delivery through advanced analytics and AI-supported tools.

Benefits

  • Medical
  • Dental
  • Vision
  • 401(k)
  • Holiday pay
  • Vacation
  • Personal and family sick leave
  • Annual discretionary bonus
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