VP, Data Analytics & AI Strategy (Remote)

Sedgwick; Omaha (NE); Remote; USD 180.000 - 260.000; Vollzeit

Zusammenfassung

Sedgwick is seeking a senior leader to guide data analytics, AI, and enterprise reporting across the organization. You will partner with executive teams to shape strategy, drive adoption of advanced analytics, and oversee data governance and reporting standards.

A strong background in leadership, analytics, and cloud-enabled platforms is essential. You will manage a diverse team of data scientists and analysts, ensuring performance, governance, and client-focused insights while aligning with

Qualifikationen

• Bachelor's degree required; master’s strongly preferred.
• MBA or related master’s degree preferred.
• Professional certifications in analytics, data science, AI, cloud or BI are a plus.
• Ten years of related experience in analytics leadership or equivalent.
• Experience with enterprise data governance and regulatory compliance is desirable.

Aufgaben

• Establishes and executes long-term analytics strategy in line with corporate goals.
• Advises executive leadership on analytics, AI, and data strategy.
• Drive adoption of analytics solutions to improve performance and outcomes.
• Lead enterprise data governance and reporting standards.
• Partner with leaders to align analytics with business priorities and client needs.
• Mentor and develop directors, managers, and data professionals.

Kenntnisse

Strategic leadership

Analytics leadership

AI/ML leadership

Data governance

Stakeholder management

People management

Budget management

Ausbildung

Bachelor's degree

Master's degree (MBA/related)

Professional certifications in analytics or cloud

Tools

Analytics platforms

Cloud technologies

Automation tools

Jobbeschreibung

Sedgwick is seeking a senior leader to guide data analytics, AI, and enterprise reporting across the organization. You will partner with executive teams to shape strategy, drive adoption of advanced analytics, and oversee data governance and reporting standards.

A strong background in leadership, analytics, and cloud-enabled platforms is essential. You will manage a diverse team of data scientists and analysts, ensuring performance, governance, and client-focused insights while aligning with