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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in managing data, analytics, and AI projects, with a strong focus on data quality, master data management, and performance tuning. Proven ability to lead teams, mentor members, and translate business needs into actionable data solutions while adhering to professional standards.
Highest-signal resume keywords
Managed Services ExperienceData Quality ManagementAI Model TuningProject Planning and BudgetingAnalytical Thinking
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ArchitectureData EngineeringData VisualizationMaster Data ManagementPerformance MonitoringData Pipeline ManagementReportingOperational PerformanceAI SolutionsAutomation
Soft Skills
CoachingTeam DevelopmentIssue ResolutionStakeholder CommunicationAdaptability
Industry Keywords
Data AnalyticsAI OperationsProfessional StandardsIndependence RequirementsComplex Operating Environments
About the role
Key responsibilities & impact- Lead managed service workstreams for data, analytics, and AI clients across complex operating environments
- Coach and develop team members and assign 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 supporting reporting, insights, and operational performance
- Oversee data quality, master data management, and data observability activities
- 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
- Coach teams, direct workstreams, validate timelines and quality, and guide others through changing priorities
Requirements
What you’ll need- At least a Bachelor's degree
- At least 5 years of experience
- Preference for study in 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
- Analytical thinking applied to complex data environments and workflows
- Experience mentoring teams while managing project planning, budgeting, and delivery
- Ability to comply with professional standards, independence requirements, and firm policies
- Ability to work with up to 60% travel
- Must not require now or in the future PwC sponsorship through the H-1B lottery, except as set forth in PwC's policy
Benefits
Comp & perks- Annual discretionary bonus
- Medical insurance
- Dental insurance
- Vision insurance
- 401k
- Holiday pay
- Vacation
- Personal and family sick leave