Senior AI-Driven Transformation Analyst

Sedgwick; Beryl (WV); On-site; USD 90,000 - 130,000; Full time

Job summary

Sedgwick is seeking a Senior Business Transformation Analyst in Finance to drive enterprise-wide initiatives that enhance growth and performance. The role collaborates across departments to identify opportunities, applying analytical and data-driven capabilities to translate insights into actionable strategies with AI-enabled improvements.

The ideal candidate has a strong foundation in business problem-solving, data analysis, and experience applying AI and analytics to business processes.

Qualifications

• Bachelor's degree in Business Administration, IT/Computer Science, Finance/Economics, Data Science/Analytics, or a related field preferred.
• Six (6) years of related experience in business analysis and data analysis; AI/applications experience highly preferred.

Responsibilities

• Supports enterprise-wide transformation initiatives that align with growth objectives and deliver measurable impact.
• Engages with stakeholders across departments to understand business needs and align transformation efforts with organizational goals.
• Assists in the design and delivery of transformation programs, coordinating with cross-functional teams.
• Identifies, prioritizes, and implements high-impact AI use cases in collaboration with tech and business leaders.
• Partners with leadership to define success metrics and monitors progress against transformation objectives.
• Tracks outcomes, manages risks, and embeds continuous improvement into all transformation efforts.

Skills

Business problem solving

Data analysis

AI applications

Stakeholder engagement

Change management

Education

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

Tools

Microsoft Office

Job description

Sedgwick is seeking a Senior Business Transformation Analyst in Finance to drive enterprise-wide initiatives that enhance growth and performance. The role collaborates across departments to identify opportunities, applying analytical and data-driven capabilities to translate insights into actionable strategies with AI-enabled improvements.

The ideal candidate has a strong foundation in business problem-solving, data analysis, and experience applying AI and analytics to business processes.