About The Position

As a Managed Services - Data Analytics & Business Intelligence Manager, you will lead client service work that turns data into actionable insights, develops reporting solutions, and supports analytics programs intended to improve operational performance. You will guide teams, coach others, and drive workstreams with a focus on quality, timelines, and client needs, using business knowledge and technology to solve complex problems. Within PwC’s Advisory practice, the role sits in Cybersecurity and connects with managed services delivery across business and supply chain operations. You will lead day-to-day execution across analytics and business intelligence efforts, review deliverables, and support team members’ development through feedback and mentoring. You will navigate client priorities, shape project approaches, and consider how data, systems, and people interact. The role contributes to managed service solutions that support client operations and data-driven decision making. The work includes leading analytics and business intelligence initiatives for healthcare revenue cycle operations; overseeing their planning, budgeting, execution, and delivery; translating business requirements into dashboards, reports, and data models; and analyzing system data flows across clinical, billing, collections, and performance reporting processes. You will guide teams using Azure Data Factory, cloud-based data pipelines, and digital tools; review deliverables for accuracy and compliance; address issues with clients and stakeholders; and apply cybersecurity, privacy, and security control knowledge to protect sensitive information. You will also identify opportunities to improve reporting automation, operational insight, and service delivery using advanced analytics and AI-supported tools. Travel requirements are up to 40%.

Requirements

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

Nice To Haves

  • Preferred field of study includes one or more of: 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 using 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 benefits
  • Dental insurance
  • Vision insurance
  • 401(k)
  • Holiday pay
  • Vacation
  • Personal and family sick leave
  • Annual discretionary bonus
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