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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data validation, risk analysis, and data engineering solutions while effectively managing project plans and leading teams. Proficient in data integration, modeling, and pipeline development, with strong communication skills to bridge technical and business needs.
Highest-signal resume keywords
Data ValidationRisk AnalysisData Engineering SolutionsProject ManagementTeam Leadership
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 IntegrationData ModelingData Pipeline DevelopmentQuality ControlData ArchitectureData TransformationDatabase OptimizationQuery TuningAutomationAI-Enabled Tools
Soft Skills
CoachingCommunicationCollaborationFeedback
Industry Keywords
AnalyticsData ScienceBusiness AdministrationComputer ScienceInformation SystemsEconomicsEngineeringFinanceMathematicsOperations
About the role
Key responsibilities & impact- Lead data validation and risk workstreams across client engagements
- Translate business needs into practical data engineering solutions
- Manage project plans, timelines, budgets, and deliverables across multiple workstreams
- Develop and review data pipelines, integration flows, transformation logic, and validation controls
- Apply data architecture, modeling, quality, and security knowledge to identify issues and strengthen data solutions
- Analyze complex data structures and system interactions to trace risks, gaps, and downstream impacts
- Coach team members through feedback, review, and day-to-day guidance
- Collaborate with client leaders and internal stakeholders to align priorities and address delivery challenges
- Leverage data engineering platforms, database optimization, and query tuning to improve performance
- Promote innovation through automation, AI-enabled tools, and scalable engineering methods
- Uphold technical standards, documentation discipline, and independence requirements
Requirements
What you’ll need- At least a Bachelor's degree
- At least 5 years of experience
- Preference for at least one of the following fields of study: Analytics/Data Science, Business Administration/Management, Computer Science/Information Systems, Economics, Engineering, Finance, Mathematics/Statistics, Operations/Supply Chain
- Demonstrating data validation, quality control, and risk analysis experience
- Managing client-facing workstreams within data engineering or analytics environments
- Leading teams through planning, budgeting, execution, and delivery
- Applying data integration, modeling, and pipeline knowledge to business issues
- Mentoring junior team members through feedback and coaching sessions
- Communicating findings clearly across technical and business audiences
- Ability to travel up to 60%
- Must not require 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