Remote VP of Data Analytics & AI Strategy

Sedgwick

Madison (WI)

Remote

USD 180,000 - 240,000

Full time

5 days ago
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Job summary

Sedgwick is seeking a VP Data Analytics to lead the strategy, design, and deployment of company-wide analytics and AI initiatives. You will partner with executives to drive data-driven decisions and optimize client outcomes through scalable analytics platforms.

The role emphasizes governance, cross-functional leadership, and transforming data into strategic business value with innovative technologies.

Qualifications

  • Bachelor's degree required.
  • Master's degree strongly preferred in related field.
  • Professional certifications in analytics, data science, cloud tech, AI, PM or BI preferred.
  • Ten years of related experience or equivalent combination.

Responsibilities

  • Establishes and executes long-term vision, strategy, and roadmap for Data Analytics.
  • Advises executive leadership on analytics strategy, data-driven decisions, AI, and emerging tech.
  • Drives enterprise-wide adoption of analytics solutions to improve performance and outcomes.
  • Partners with business leaders to identify opportunities, risks, and trends via advanced analytics.
  • Develops multi-year analytics investment strategies and KPIs; tracks business value.
  • Oversees design, development, and deployment of enterprise analytics, BI, ML, and AI
  • Ensures data governance, quality, and reporting standards across the organization.
  • Leads client-focused insights and enterprise transformation initiatives.

Education

Bachelor's degree
Data Analytics/Statistics/Math/CS/IS/Data Science/Engineering
MBA/Related master's preferred
Analytics/data science/certifications

Job description

Sedgwick is seeking a VP Data Analytics to lead the strategy, design, and deployment of company-wide analytics and AI initiatives. You will partner with executives to drive data-driven decisions and optimize client outcomes through scalable analytics platforms.

The role emphasizes governance, cross-functional leadership, and transforming data into strategic business value with innovative technologies.

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