[Remote] VP Data Analytics

Note: The job is a remote job and is open to candidates in USA. Sedgwick is hiring a VP of Data Analytics to lead its enterprise analytics strategy and oversee analytics, business intelligence, machine learning, and AI solutions. The role partners with business and executive leaders to improve decision-making, operational and financial outcomes, customer experience, and data governance while building and leading analytics teams.

Responsibilities

• Establishes and executes the long-term vision, strategy, and roadmap for Data Analytics in alignment with Sedgwick's corporate objectives
• Serves as a trusted advisor to executive leadership on analytics strategy, data-driven decision making, artificial intelligence, and emerging technologies
• Drives enterprise-wide adoption of analytics solutions that improve operational performance, financial outcomes, customer experience, and colleague productivity
• Partners with business leaders to identify emerging opportunities, risks, and trends through advanced analytics and predictive modeling
• Develops multi-year analytics investment strategies and business cases that support organizational growth objectives
• Establishes key performance indicators and success measures for analytics initiatives and tracks realization of business value
• Oversees the design, development, and deployment of enterprise analytics, business intelligence, machine learning, and AI solutions
• Provides strategic leadership for predictive analytics, forecasting, trend analysis, operational reporting, and client-facing insights
• Champions the adoption of modern analytics platforms, cloud technologies, automation, and AI-enabled capabilities
• Directs advanced analytics programs focused on claims performance, client outcomes, operational efficiency, workforce planning, and financial optimization
• Ensures the scalability, accuracy, and reliability of analytical models and reporting solutions
• Promotes innovation through experimentation with advanced analytical methodologies and emerging technologies
• Establishes enterprise standards for data governance, data quality, data stewardship, and reporting consistency
• Oversees analytics governance processes to ensure compliance with regulatory requirements, privacy standards, and company policies
• Collaborates with Technology, Information Security, and business stakeholders to ensure effective management and accessibility of enterprise data assets
• Ensures delivery of accurate, timely, and actionable reporting to internal and external stakeholders
• Leads initiatives to improve data availability, transparency, and business intelligence capabilities across the organization
• Partners with executive leadership, operations, finance, technology, product, and client service teams to develop analytics strategies that advance business objectives
• Serves as executive sponsor for strategic analytics initiatives and enterprise transformation efforts
• Participates in client presentations, executive reviews, RFP responses, and business development activities as a subject matter expert
• Builds and maintains relationships with key clients and stakeholders to identify opportunities for enhanced analytics solutions
• Represents Sedgwick at industry conferences, leadership forums, and client events
• Builds, develops, and leads high-performing teams of directors, managers, data scientists, analysts, and business intelligence professionals
• Establishes workforce planning strategies to ensure organizational capability and succession readiness
• Creates a culture focused on innovation, collaboration, continuous learning, and accountability
• Champions colleague development through coaching, mentoring, leadership development, and career progression planning
• Ensures alignment of organizational structure and talent strategies with evolving business needs
• Develops and manages departmental budgets, resource allocation strategies, and technology investments
• Evaluates vendor solutions, analytics platforms, and strategic partnerships
• Ensures effective utilization of resources while achieving operational efficiency and financial objectives
• Monitors organizational performance and implements continuous improvement initiatives

Skills

• Bachelor's degree from an accredited college or university required
• Ten (10) years of related experience or equivalent combination of education and experience required
• Degree concentration in Data Analytics, Statistics, Mathematics, Computer Science, Information Systems, Data Science, Economics, Finance, Business Administration, Engineering, or related field preferred
• Master's degree in Business Administration (MBA), Data Science, Statistics, Analytics, Information Systems, Economics, or related discipline strongly preferred
• Professional certifications in analytics, data science, cloud technologies, artificial intelligence, project management, or business intelligence preferred

Benefits

• Work-life balance
• Remote work

Company Overview

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