Senior Business Transformation & AI Analyst

Sedgwick; Orangeburg (SC); Sur place; USD 90 000 - 130 000; Plein temps

Résumé du poste

Sedgwick is seeking a Sr. Business Transformation Analyst in Finance to drive enterprise-wide initiatives that enhance growth, performance, and innovation.

You will collaborate across departments to identify opportunities, apply data-driven analytics, and translate insights into actionable strategies that deliver measurable improvements. The role requires a strong foundation in business problem-solving, data analysis, and experience applying AI to business processes, with proficiency in

Qualifications

• Six years of related experience in business analysis and data analysis.
• Experience applying AI and analytics to business processes is highly preferred.
• Working knowledge of large language models and AI applications.

Responsabilités

• Supports enterprise-wide transformation initiatives that align with growth objectives.
• Engages with stakeholders across departments to understand business needs.
• Assists in the design and delivery of transformation programs with cross-functional teams.
• Identifies and implements high-impact AI use cases with tech and business leaders.
• Partners with leadership to define success metrics and monitors progress.

Connaissances

Data analysis

AI applications

Stakeholder engagement

Microsoft Office

Formation

Bachelor's degree in Business Administration, IT/CS, Finance/Economics, Data Science/Analytics

CBTP/CBAP/PMI-PBA/PMP certifications

Outils

Microsoft Office

Description du poste

Sedgwick is seeking a Sr. Business Transformation Analyst in Finance to drive enterprise-wide initiatives that enhance growth, performance, and innovation.

You will collaborate across departments to identify opportunities, apply data-driven analytics, and translate insights into actionable strategies that deliver measurable improvements. The role requires a strong foundation in business problem-solving, data analysis, and experience applying AI to business processes, with proficiency in