Senior Business Transformation Analyst: AI-Driven Finance

Sedgwick

Arkansas

On-site

USD 95,000 - 125,000

Full time

7 days ago
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Job summary

Sedgwick is seeking a Senior Business Transformation Analyst Sr. - Finance to lead enterprise-wide transformation initiatives.

The role blends data analysis, problem solving, and AI to drive growth, performance, and innovation across functions. You will collaborate with stakeholders, define success metrics, design programs, and monitor outcomes, applying advanced analytics and AI applications to improve processes.

Qualifications

  • Bachelor's degree in a related field is preferred.
  • 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.
  • Proficiency in Microsoft Office products.

Responsibilities

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

Skills

Data analysis
Problem solving
AI applications
Stakeholder management
Microsoft Office
Cross-functional collaboration

Education

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

Job description

Sedgwick is seeking a Senior Business Transformation Analyst Sr. - Finance to lead enterprise-wide transformation initiatives.

The role blends data analysis, problem solving, and AI to drive growth, performance, and innovation across functions. You will collaborate with stakeholders, define success metrics, design programs, and monitor outcomes, applying advanced analytics and AI applications to improve processes.

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