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Senior Manager, AI & GenAI Data Scientist
PwCAI & GenAI Data Scientist – Senior Manager at PwC utilizing advanced analytics to drive data-driven decision-making. Leading teams and managing complex challenges in data science projects.
Posted 7/29/2026full-timeNew York City • Florida, Illinois, New York, Texas • 🇺🇸 United StatesSenior💰 $124,000 - $280,000 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data analysis, predictive modeling, and machine learning, utilizing tools such as Python and Power BI to drive data-driven decision-making. Proven ability to lead teams in developing data pipelines and visualizing insights to optimize client operations.
Highest-signal resume keywords
Data AnalysisPredictive ModelingMachine LearningData VisualizationTeam 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 AnalysisPredictive ModelingMachine LearningData Pipeline DevelopmentData Warehouse Management
Soft Skills
Strategic ThinkingCoachingCommunication
Tools & Technologies
PythonPower BITableauAWSAzureGCP
Certifications & Qualifications
Databricks CertificationMS SQL CertificationPower BI Certification
Industry Keywords
Data ProcessingData ScienceSystems ThinkingAI-driven AutomationClient Feedback
Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud PlatformPythonSQLTableau
About the role
Key responsibilities & impact- Leading data analysis initiatives to extract insights and drive data-driven decision-making for clients
- Utilizing advanced analytics techniques and tools such as Python, Power BI, and Tableau to optimize client operations
- Developing and implementing data models and predictive analytics to solve complex business problems
- Managing and guiding teams in the creation and maintenance of data pipelines and data warehouses
- Overseeing the integration and validation of large datasets to validate data quality and integrity
- Crafting and conveying clear, impactful messages that tell a holistic story through data visualization
- Applying systems thinking to identify underlying problems and opportunities within client data
- Directing teams through complex and ambiguous situations, maintaining composure and focus
- Initiating open and honest coaching conversations to develop high-performing, diverse teams
- Validating outcomes with clients, sharing alternative perspectives, and acting on client feedback
Requirements
What you’ll need- At least a Bachelor's degree
- At least 6 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 of the following: a Certification in databases (Databricks, MS SQL), visualization tools (Power BI), cloud platforms (AWS, Azure, GCP), or predictive modeling/ML (Python, SAS)
- Demonstrating advanced skills in data analysis and machine learning
- Utilizing strategic thinking to drive AI-driven automation solutions
- Leading complex data science projects with a focus on innovation
- Excelling in crafting and conveying impactful, engaging messages
- Applying systems thinking to identify and solve underlying problems
Benefits
Comp & perks- medical
- dental
- vision
- 401k
- holiday pay
- vacation
- personal and family sick leave
- annual discretionary bonus