AI-Driven Transformation Analyst

Sedgwick; New Mexico; On-site; USD 95,000 - 130,000; Full time

Job summary

Sedgwick is seeking a Business Transformation Analyst to drive enterprise-wide initiatives focused on growth, performance, and innovation. The role collaborates across departments to identify opportunities and translate insights into actionable strategies that improve processes and outcomes.

Key responsibilities include partnering with leadership to define success metrics, prioritizing AI-enabled use cases, and embedding continuous improvement across programs.

Qualifications

• Bachelor's degree in a related field is preferred and professional certifications are valued.
• Six years of related experience in business analysis and data analysis is required or equivalent.
• Experience applying AI and analytics to business processes is 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 analysis

Data analysis

AI concepts

Stakeholder management

Problem solving

Education

Bachelor's degree in Business Administration / IT / Finance

Certification: CBTP/CBAP/PMI-PBA/PMP optional

Tools

Microsoft Office

AI platforms / LLMs

Job description

Sedgwick is seeking a Business Transformation Analyst to drive enterprise-wide initiatives focused on growth, performance, and innovation. The role collaborates across departments to identify opportunities and translate insights into actionable strategies that improve processes and outcomes.

Key responsibilities include partnering with leadership to define success metrics, prioritizing AI-enabled use cases, and embedding continuous improvement across programs.