VP Data Analytics

Sedgwick; Texas; Hybrid; USD 180,000 - 260,000; Full time

Job summary

Sedgwick is seeking a visionary VP of Data Analytics to lead enterprise analytics, BI, ML and AI initiatives. You will partner with executives to align analytics with strategic goals and drive data-driven decision making.

You will build and mentor high-performing teams, establish governance standards, manage budgets and technology investments, and deliver client-focused insights that improve outcomes.

Qualifications

• Bachelor's degree from an accredited college or university.
• 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 MBA, Data Science, Statistics, Analytics, Information Systems, Economics, or related discipline strongly pref

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.

Education

Bachelor's degree from an accredited college or university

Master's degree in Business Administration (MBA), Data Science, Statistics, Analytics, Information Systems, Economics, or related discipline strongly pref

Job description

VP Data Analytics

By joining Sedgwick, you'll be part of something truly meaningful. It's what our 33,000 colleagues do every day for people around the world who are facing the unexpected. We invite you to grow your career with us, experience our caring culture, and enjoy work-life balance. Here, there's no limit to what you can achieve.

Newsweek Recognizes Sedgwick as America's Greatest Workplaces National Top Companies

Certified as a Great Place to Work®

Fortune Best Workplaces in Financial Services & Insurance

ESSENTIAL RESPONSIBILITIES MAY INCLUDE

Strategic Leadership

• 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.

Analytics, Data Science and AI Leadership

• 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.

Data Governance and Enterprise Reporting

• 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.

Business Partnership and Client Engagement

• 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.

Talent and Organizational Leadership

• 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.

Financial and Operational Management

• 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.

QUALIFICATIONS

• Bachelor's degree from an accredited college or university 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 pref