Managed Services - Data, Analytics & AI - Manager

PricewaterhouseCoopers•Atlanta, NE

2d•$99,000 - $232,000

About The Position

The Manager leads managed service work focused on data, analytics, and AI solutions that help clients operate and improve data environments, reporting, and model performance within PwC’s Advisory practice. The role oversees the planning, execution, and completion of data and analytics service activities, supports performance optimization across platforms and pipelines, and applies technology and innovation to deliver insights for business decisions. The Manager coaches teams, directs workstreams, and uses sound judgment to deliver client work, validate timelines and quality, and guide others through changing priorities with integrity and authenticity. The role also manages project plans, budgets, timelines, and deliverables across engagement phases, while helping clients improve recurring operations and service delivery.

Requirements

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

Nice To Haves

Preference for study in one or more of these 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 across 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.