Managed Services - Data, Analytics & AI - Manager

PwC•Tampa, FL

4d•$99,000 - $232,000

About The Position

As a Managed Services - Data, Analytics & AI - Manager in PwC’s Advisory practice, you will lead client managed-service work focused on data, analytics, and AI solutions that help clients operate and improve data environments, reporting, and model performance. 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. You will oversee the planning, execution, and completion of data and analytics service activities; support performance optimization across platforms and pipelines; and use technology and innovation to deliver insights that support business decisions. The role includes managing engagement plans, budgets, timelines, and deliverables, as well as supporting recurring operations and service delivery improvements. Travel requirements are up to 60%. The salary range is $99,000–$232,000, with actual compensation dependent on skills, experience, qualifications, location, and applicable employment laws. Hired individuals are eligible for an annual discretionary bonus. PwC offers benefits including medical, dental, vision, 401(k), holiday pay, vacation, and personal and family sick leave.

Requirements

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

Nice To Haves

Preference for study in one or more of the following fields: 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, or Science.
Managed services experience supporting data, analytics, and AI operations.
Experience leading data quality, reporting, and master data management activities.
Experience coordinating AI model tuning, platform maintenance, and performance monitoring.
Ability to apply analytical thinking to complex data environments and workflows.
Experience mentoring teams while managing project planning, budgeting, and delivery.

Responsibilities

Lead data, analytics, and AI managed-services workstreams for clients in complex operating environments.
Coach and develop team members, assigning work based on skills, capacity, and client priorities.
Manage project plans, budgets, timelines, and deliverables across multiple engagement phases.
Translate business needs into data solutions that support reporting, insights, and operational performance.
Oversee data quality, master data management, and data observability activities to support dependable platform operations.
Guide data pipeline management, platform maintenance, and performance tuning for analytics and AI solutions.
Apply data architecture, data engineering, and visualization skills to improve decision-making outcomes.
Review work products, resolve issues, and address delivery risks with clients and internal stakeholders.
Promote adoption of AI-enabled tools and automation to improve service delivery and recurring operations.
Validate adherence to professional standards, independence requirements, and firm policies.