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Managed Services - Data Analytics & Business Intelligence - Manager

PwC · GA-Atlanta · IN-Indianapolis · MI-Grand Rapids +42

  • Professional Services
  • 10,001+ employees

Mixed hiring record · median 34 days open

100100

Hiring signal

Actively hiring

Posted yesterday · still listed on the employer's own board · How we score

All reasons
  • 33% of this employer's openings are over 60 days old

In its favour

  • Posted yesterday
  • Still listed on the employer's own board
  • Publishes a salary range

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Managed Services - Data Analytics & Business Intelligence - Manager at PwC. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

Industry/Sector

Health Services

Specialism

Managed Services

Management Level

Manager

Job Description & Summary

The Opportunity

As a Managed Services - Data Analytics & Business Intelligence Manager you will lead client service work focused on turning data into actionable insights, developing reporting solutions, and supporting analytics programs that improve operational performance. As a Manager you will guide teams, coach others, and drive workstreams with a steady focus on quality, timelines, and client needs while using business knowledge and technology to solve complex problems. within our Advisory practice, this role sits in Cybersecurity and connects with managed services delivery across business and supply chain operations, giving you exposure to work that supports data-driven decision making and scalable service delivery.

In this role at PwC, you will lead day-to-day execution across analytics and business intelligence efforts, review deliverables, and help team members grow through feedback and mentoring. You will also navigate client priorities, shape clear approaches to project work, and apply a practical view of how data, systems, and people interact. The role offers the chance to contribute to managed service solutions that support client operations while working in an environment that values accountability, adaptability, and thoughtful leadership.

Responsibilities

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

What You Must Have

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

What Sets You Apart

  • Preference for at least one of the following fields of study: Business Administration/Management, Computer and Information Science, Information CyberSecurity, Information Technology, Management Information Systems, Computer Applications, Computer Engineering
  • Demonstrating data analytics and business intelligence delivery in managed services settings
  • Leading client workstreams across revenue cycle operations and reporting
  • Mentoring teams while reviewing deliverables and timelines
  • Applying Azure Data Factory, Agile methodology, and digital tooling
  • Analyzing operational linkages across systems, data, and process flows

Travel Requirements

Up to 40%

Job Posting End Date

The salary range for this position is

$99,000 - $232,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.

PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.

Learn more about how we work

https://pwc.to/how-we-work

For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

Skills

  • Azure Data Factory

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