Senior Data Scientist applying advanced analytics and data science techniques for P&C insurance solutions. Collaborating with stakeholders to improve pricing accuracy and risk management.
About the role
- Finance Data and Analytics Executive leading data initiatives and cross-functional partnerships at GE Vernova. Spearheading financial data transformations and adopting advanced analytics tools.
Responsibilities
- Develop and execute comprehensive financial data strategy aligned with organizational objectives
- Serve as primary liaison between finance and business units for data and analytics requirements while providing strategic consultation on data and recommendations
- Present analytics findings and strategic recommendations to business leaders
- Establish and maintain strong relationships with internal customers to ensure solution alignment with business needs
- Lead the democratization of financial data across all business units and stakeholder groups
- Establish frameworks for data management, security, and accessibility
- Drive cultural transformation toward data-driven, scalable, and sustainable solutions in finance
- Design and deliver projects focused on eliminating manual work through process excellence and intelligent automation
- Identify repetitive finance processes suitable for robotic process automation (RPA) and workflow optimization
- Measure and report on productivity gains achieved through automation initiatives
- Establish continuous improvement frameworks for ongoing process enhancement
- Lead initiatives to connect and standardize data flow across the finance organization
- Establish best practices and standards for advanced analytics development, validation, and monitoring
- Develop advanced analytics capabilities including predictive modeling, scenario analysis, and statistical forecasting
- Oversee the development process and product management of enterprise data visualization platforms and self-service analytics tools
- Drive adoption of next-generation analytics including real-time dashboards, interactive reporting, and mobile-enabled insights
- Provide central intelligence and development support for solutions across finance functions
- Establish best practices and standards for advanced analytics development, validation, and monitoring
- Lead evaluation and deployment of AI tools for finance process optimization
- Collaborate closely with Digital Technology (DT) teams to identify, evaluate, and implement advanced analytics tools and platforms
- Coordinate technology roadmaps to ensure seamless integration of finance systems with enterprise data architecture
- Champion the adoption of emerging technologies including cloud-based analytics, machine learning platforms, and real-time data processing tools
- Oversee vendor relationships and technology partnerships that support finance analytics capabilities
Requirements
- Bachelor or master’s degree in finance, Data Science, Analytics, Engineering, or related quantitative field; MBA preferred
- Minimum 10 years of progressive experience in finance, data analytics, or related fields
- 5+ years in senior leadership roles managing large-scale data and analytics initiatives
- Proven track record leading digital transformation projects in finance or related functions
- Deep understanding of financial systems, processes, and reporting requirements
- Advanced proficiency in data analytics tools
- Experience with modern data platforms
- Knowledge of machine learning algorithms and AI implementation in context of business outcomes
- Familiarity with visualization tools (Tableau, Power BI, Qlik, etc.) and understanding of automation technologies (RPA, workflow management, API integration)
Benefits
- Health insurance
- 401(k) matching
- Paid time off
- Flexible work arrangements
- Professional development opportunities
- Bonus eligibility: discretionary annual bonus
- Tuition assistance
- Adoption assistance
- Paid parental leave
- Disability benefits
- Life insurance
- 12 paid holidays
- Restoration Plan
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