Senior Pricing and Revenue Data Science Manager – Consumer Markets Sector

PwC

. Lead data-driven initiatives to optimize pricing and revenue strategies within the consumer markets sector .

Posted 9/20/2026full-timeUnited StatesSenior💰 $124,000 - $280,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data-driven pricing and revenue strategies, utilizing advanced analytics and predictive modeling to inform decision-making. Proven ability to lead cross-functional teams, manage complex data projects, and develop high-performing teams in the consumer markets sector.

Highest-signal resume keywords

Data AnalysisPredictive AnalyticsData VisualizationTeam LeadershipStrategic Advising

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Advanced AnalyticsData ModelingPredictive ModelingMachine LearningData Quality ManagementPricing OptimizationRevenue Growth StrategiesSystems ThinkingClient InteractionDashboard Creation

Soft Skills

CoachingCommunicationCollaborationProblem-SolvingStrategic Thinking

Tools & Technologies

Power BIDatabricksMS SQLAWSAzureGCPPythonSAS

Certifications & Qualifications

Database CertificationVisualization Tools CertificationCloud Platform CertificationPredictive Modeling Certification

Industry Keywords

Consumer MarketsData ProcessingData ScienceEconomicsFinance

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact

Lead data-driven initiatives to optimize pricing and revenue strategies within the consumer markets sector
Utilize advanced analytics techniques to extract insights from large datasets and support strategic decision-making
Develop and implement data models and predictive analytics to forecast market trends and customer behavior
Collaborate with cross-functional teams to integrate data insights into business operations and drive performance improvements
Manage the creation and maintenance of dashboards and data visualizations
Oversee data quality and integrity for accurate analysis and reporting
Apply systems thinking to identify underlying problems and opportunities within data processes
Direct teams through complex data analysis projects
Validate outcomes with clients and incorporate feedback to refine data solutions
Initiate coaching conversations to develop high-performing, diverse, and inclusive teams
Act as a strategic advisor with increased autonomy, applying sound judgment and escalating when appropriate
Craft and convey clear, impactful messages that tell a holistic story

Requirements

What you’ll need

At least a Bachelor's degree
At least 7 years of experience
Preference for at least one of the following fields of study: Accounting, Engineering, Data Processing/Analytics/Science, Computer and Information Science, Economics, Finance
At least one certification in databases (Databricks, MS SQL), visualization tools (Power BI), cloud platforms (AWS, Azure, GCP), or predictive modeling/ML (Python, SAS)
Leading revenue growth strategies through advanced data science, pricing, and promotion optimization
Demonstrating advanced skills in data analysis and visualization
Leading complex data-driven projects in consumer markets
Utilizing AI and machine learning for predictive analytics
Excelling in strategic advising and client interaction
Developing and coaching high-performing, diverse teams
Ability to travel up to 80%
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