Director, AI-Driven Business Transformation

Sedgwick

Norfolk (VA)

Remote

USD 130,000 - 160,000

Full time

2 days ago
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Job summary

Sedgwick is seeking a Director of Business Transformation to lead enterprise-level programs, shaping strategy and ensuring cross-functional alignment. The role supervises AI-enabled initiatives and partners with senior leaders to realize benefits across growth, efficiency and customer experience.

The Director will drive governance, metrics, and cultural adoption of data-driven decision making, embedding change into operating models and delivering measurable impact.

Qualifications

  • Master's degree preferred in a relevant field.
  • 10+ years leading large-scale transformation initiatives.
  • Experience with AI-enabled process redesign and execution.
  • Executive-level communication, governance and reporting skills.

Responsibilities

  • Leads enterprise-wide transformation programs aligned with strategic objectives.
  • Shapes transformation strategy and translates priorities into executable roadmaps.
  • Sponsors large-scale AI-enabled process redesign and technology enablement.
  • Partners with VPs and executive leaders to align priorities, resources, and outcomes.
  • Establishes governance, success metrics, and benefit realization frameworks.
  • Drives data-driven decision-making and continuous improvement.
  • Ensures transformation outcomes are embedded into operating models.
  • Serves as a trusted advisor with executive presence and strategic insight.

Skills

Executive presence
Enterprise thinking
Change leadership
AI tools
MS Office
Analytical skills
Teamwork

Education

Master's degree
AI certifications

Tools

Microsoft Office

Job description

Sedgwick is seeking a Director of Business Transformation to lead enterprise-level programs, shaping strategy and ensuring cross-functional alignment. The role supervises AI-enabled initiatives and partners with senior leaders to realize benefits across growth, efficiency and customer experience.

The Director will drive governance, metrics, and cultural adoption of data-driven decision making, embedding change into operating models and delivering measurable impact.

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