Finance Transformation Analyst — AI & Growth Impact

Sedgwick; Indianapolis (IN); On-site; USD 95,000 - 130,000; Full time

Job summary

Sedgwick is seeking a Business Transformation Analyst - Finance to support enterprise-wide initiatives focused on growth and performance. The role emphasizes applying data-driven analysis and AI to optimize finance processes, partnering with cross-functional teams and leadership to define and track success metrics.

The ideal candidate will have a strong foundation in business problem solving, data analysis, and the ability to translate insights into actionable strategies that drive measurable

Qualifications

• Bachelor's degree in Business Administration, IT/Computer Science, Finance/Economics, Data Science/Analytics, or a related field from an accredited college or university preferred.
• 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

Responsibilities

• Supports enterprise-wide initiatives aimed at enhancing growth, performance, and innovation by collaborating across departments.
• Applies analytical and data-driven capabilities to solve business challenges and translate insights into actionable strategies.
• 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.

Job description

Sedgwick is seeking a Business Transformation Analyst - Finance to support enterprise-wide initiatives focused on growth and performance. The role emphasizes applying data-driven analysis and AI to optimize finance processes, partnering with cross-functional teams and leadership to define and track success metrics.

The ideal candidate will have a strong foundation in business problem solving, data analysis, and the ability to translate insights into actionable strategies that drive measurable