Finance Transformation Analyst: AI-Driven Growth

Sedgwick; Kansas City (MO); Hybride; USD 80 000 - 110 000; Plein temps

Résumé du poste

Sedgwick is seeking a Finance Transformation Analyst to support enterprise-wide initiatives that drive growth, performance, and innovation. The role focuses on identifying opportunities, applying data-driven insights, and leveraging AI to enhance financial processes across departments.

Candidates should have a strong foundation in business analysis, data analysis, and experience applying AI in business contexts.

Qualifications

• Bachelor's degree required in a related field (Business Administration, IT/CS, Finance/Economics, Data Science).
• Experience with AI and analytics in business processes is preferred.
• Six years of business analysis and data analysis experience or equivalent.
• Experience applying AI and analytics to business processes is highly preferred.
• Working knowledge of large language models and AI applications.
• Proficiency in Microsoft Office products.

Responsabilités

• Supports enterprise-wide transformation initiatives across departments.
• Identifies and prioritizes opportunities using data-driven analysis.
• Leverages AI to improve business processes and outcomes.
• Defines success metrics with leadership and tracks progress.
• Coordinates with cross-functional teams to design and deliver programs.
• Monitors risks and embeds continuous improvement into initiatives.

Connaissances

Business analysis

Data analysis

AI applications

Stakeholder engagement

Project coordination

Formation

Bachelors degree (related field)

Outils

Microsoft Office

Description du poste

Sedgwick is seeking a Finance Transformation Analyst to support enterprise-wide initiatives that drive growth, performance, and innovation. The role focuses on identifying opportunities, applying data-driven insights, and leveraging AI to enhance financial processes across departments.

Candidates should have a strong foundation in business analysis, data analysis, and experience applying AI in business contexts.