VP, Data Analytics & AI Strategy - Remote

Sedgwick; Dubuque (IA); Remote; USD 180.000 - 260.000; Vollzeit

Zusammenfassung

Sedgwick is seeking a visionary VP of Data Analytics to lead the design, deployment, and governance of enterprise analytics, BI, ML, and AI solutions. You will work with executive leadership to drive data-driven decisions, optimize performance, and steward analytics initiatives across the organization.

Lead cross-functional teams, establish KPIs, and champion modern analytics platforms and cloud technologies to improve client outcomes and operational efficiency.

Qualifikationen

• Bachelor's degree required; preferred master’s degree in related field.
• Professional certifications in analytics, data science, cloud technologies, AI, project management, or business intelligence preferred.
• Ten (10) years of related experience or equivalent combination of education and experience required.

Aufgaben

• Establishes and executes the long-term vision, strategy, and roadmap for Data Analytics.
• Leads analytics, data science and AI initiatives at enterprise level.
• Partners with executives to drive data-driven decision making and performance improvements.
• Oversees data governance, quality, stewardship, and reporting standards across the organization.
• Manages budgets, resources, and technology investments for analytics programs.

Kenntnisse

Executive leadership

Strategic vision

Data analytics governance

Ausbildung

Bachelor's degree from an accredited college or university

Master's degree in MBA, Data Science, Statistics, Analytics, Information Systems or related discipline

Professional certifications in analytics, data science, cloud technologies, AI or BI

Jobbeschreibung

Sedgwick is seeking a visionary VP of Data Analytics to lead the design, deployment, and governance of enterprise analytics, BI, ML, and AI solutions. You will work with executive leadership to drive data-driven decisions, optimize performance, and steward analytics initiatives across the organization.

Lead cross-functional teams, establish KPIs, and champion modern analytics platforms and cloud technologies to improve client outcomes and operational efficiency.