Managed Services - Data, Analytics & AI - Manager

PricewaterhouseCoopers Advisory Services LLCSt. Louis, Salt Lake City, San Antonio, San Diego, San Francisco, Des Moines, Boca Raton, Fort Worth, Grand Rapids, Kansas City, Las Vegas, Little Rock, Los Angeles, New Orleans, New York City, Oklahoma City, Atlanta, Raleigh, Charlotte, Chicago, Cincinnati, Cleveland, Columbia, Columbus, Dallas, Baltimore, Richmond, Rochester, Rosemont, Sacramento, Boston, Seattle, Albany, Tampa, Toledo, Austin, Tulsa, Denver, Detroit, Buffalo, Greensboro, Hartford, Houston, Indianapolis, Irvine, Jacksonville, Louisville, Birmingham, Miami, Milwaukee, Minneapolis, Nashville, Philadelphia, Phoenix, Pittsburg, Portland, Kansas, Oklahoma, Indiana, New York, Washington, Ohio, Texas, Utah, Florida, District of Columbia, Iowa, Michigan, New Jersey, Connecticut, Nevada, Wisconsin, Oregon, Missouri, California, Arkansas, Louisiana, Georgia, North Carolina, Illinois, South Carolina, Maryland, Virginia, Massachusetts, Colorado, Minnesota, Tennessee, Pennsylvania, Arizona, Kentucky, Alabama, NebraskaOn-siteFull-timeSenior, 5–8 yearsListed 3 hours ago

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About this role

Industry/Sector
Not Applicable

Specialism
Managed Services

Management Level
Manager

Job Description & Summary
The Opportunity

As a Managed Services - Data, Analytics & AI - Manager you will lead managed service work focused on data, analytics, and AI solutions that help clients operate and improve their data environments, reporting, and model performance within our Advisory practice. As a Manager you will coach teams, direct workstreams, and apply sound judgment to deliver client work, validate timelines and quality, and guide others through changing priorities with integrity and authenticity. In this role at PwC, you will oversee planning, execution, and completion of data and analytics service activities, support performance optimization across platforms and pipelines, and use technology and innovation to help deliver insights that support business decisions.

Responsibilities

- Leading data, analytics, and AI managed services workstreams for clients across complex operating environments
- Coaching and developing team members while assigning work based on skills, capacity, and client priorities
- Managing project plans, budgets, timelines, and deliverables across multiple engagement phases
- Translating business needs into data solutions that support reporting, insights, and operational performance
- Overseeing data quality, master data management, and data observability activities to support dependable platform operations
- Guiding data pipeline management, platform maintenance, and performance tuning for analytics and AI solutions
- Applying data architecture, data engineering, and visualization skills to improve decision-making outcomes
- Reviewing work products, resolving issues, and addressing delivery risks with clients and internal stakeholders
- Promoting adoption of AI-enabled tools and automation to improve service delivery and recurring operations
- Validating adherence to professional standards, independence requirements, and firm policies

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: Accounting, Analytics/Data Science, Biology/Biomedical Sciences, Business Administration/Management, Computer Science/Information Systems, Economics, Engineering, Finance, Financial Mathematics/Quantitative Finance, Health Administration/Public Health, Mathematics/Statistics, Operations/Supply Chain, Project/Technology Management, Risk Management/Insurance, Science
- Demonstrating managed services experience supporting data, analytics, and AI operations
- Leading data quality, reporting, and master data management activities
- Coordinating AI model tuning, platform maintenance, and performance monitoring
- Applying analytical thinking to complex data environments and workflows
- Mentoring teams while managing project planning, budgeting, and delivery

Travel Requirements
Up to 60%

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