Managed Services - Data, Analytics & AI - Senior Associate

PwC•Tampa, FL

3d•$77,000 - $202,000

About The Position

As a Managed Services - Data, Analytics & AI - Senior Associate, you will support client workstreams focused on data, analytics, and AI services that help organizations use data to inform decisions and improve business performance within PwC’s Advisory practice. You will analyze complex problems, build meaningful client connections, mentor junior team members, and navigate ambiguity while contributing to deliverables aligned with engagement objectives. You will apply business intelligence skills to support data environments, interpret insights, and help develop solutions that improve reporting, data operations, and AI platform performance.

Requirements

At least a Bachelor's degree.
At least 3 years of experience.

Nice To Haves

Preference for study in at least one 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 across data, analytics, and AI environments.
Ability to interpret data quality, reporting, and insights for client teams.
Analytical thinking to solve complex operational issues.
Experience supporting data pipelines, platform maintenance, and observability activities.
Ability to collaborate across teams while navigating ambiguity and change.
Ability to mentor junior team members and anticipate client needs.

Responsibilities

Manage data, analytics, and AI managed services workstreams for client environments.
Develop and maintain data pipelines, reporting, dashboards, and analytics outputs.
Interpret data quality issues and apply remediation steps across operational processes.
Tune AI models and platform components to support availability, scalability, and ongoing performance.
Collaborate with client teams to understand business context and translate needs into data solutions.
Apply business intelligence methods to generate insights that inform decision making.
Review deliverables from junior team members and provide guidance on task execution.
Identify process improvements that strengthen data operations, observability, and reporting workflows.