VP Data Analytics

This is a fully remote position, open to applicants in Alabama, +25 more states.

📋 Description

• Develop and implement the long-term vision, strategy, and roadmap for Data Analytics that aligns with corporate goals.

• Provide guidance to executive leadership regarding analytics strategy, data-driven decision-making, artificial intelligence, and emerging technologies.

• Promote the enterprise-wide use of analytics solutions to enhance operational performance, financial results, customer experience, and employee productivity.

• Discover emerging opportunities, risks, and trends using advanced analytics and predictive modeling techniques.

• Formulate multi-year investment strategies and business cases for analytics initiatives.

• Set KPIs and monitor the realization of business value from analytics projects.

• Supervise the design, development, and deployment of enterprise analytics, business intelligence, machine learning, and AI solutions.

• Lead efforts in predictive analytics, forecasting, trend analysis, operational reporting, and client-facing insights.

• Advocate for modern analytics platforms, cloud technologies, automation, and AI-enabled functionalities.

• Manage analytics programs that focus on claims performance, client outcomes, operational efficiency, workforce planning, and financial optimization.

• Establish enterprise standards for data governance, data quality, data stewardship, and reporting consistency.

• Ensure adherence to regulatory requirements, privacy standards, and company policies.

• Collaborate with Technology, Information Security, and business stakeholders on managing enterprise data assets.

• Provide accurate, timely, and actionable reporting to both internal and external stakeholders.

• Work alongside executive leadership and cross-functional teams to shape analytics strategies and drive enterprise transformation.

• Participate as a subject matter expert in client presentations, executive reviews, RFP responses, and business development initiatives.

• Build and maintain important relationships with clients and stakeholders.

• Represent Sedgwick at industry conferences, leadership forums, and client events.

• Recruit, develop, and lead teams of directors, managers, data scientists, analysts, and business intelligence professionals.

• Create strategies for workforce planning and succession readiness.

• Encourage innovation, collaboration, continuous learning, and accountability within teams.

• Mentor colleagues and support leadership development and career growth.

• Develop and manage departmental budgets, resource allocation strategies, and technology investments.

• Assess vendor solutions, analytics platforms, and strategic partnerships.

• Track organizational performance and drive continuous improvement initiatives.

⛳️ Requirements

• A Bachelor's degree from an accredited college or university is required.

• A concentration in Data Analytics, Statistics, Mathematics, Computer Science, Information Systems, Data Science, Economics, Finance, Business Administration, Engineering, or a related field is preferred.

• A Master's degree in Business Administration (MBA), Data Science, Statistics, Analytics, Information Systems, Economics, or a related discipline is strongly preferred.

• Professional certifications in analytics, data science, cloud technologies, artificial intelligence, project management, or business intelligence are preferred.

• A minimum of ten (10) years of relevant experience or an equivalent combination of education and experience is required.

• Strong conceptual thinking abilities.

• Excellent judgment, troubleshooting, problem-solving, analytical skills, and discretion.

• Capability to manage work-related stress.

• Ability to juggle multiple priorities simultaneously.

• Proficiency in meeting deadlines.

• Computer keyboarding skills.

• Willingness to travel as required.

🏝️ Benefits

• A healthy work-life balance.

• Opportunities for career advancement.

• A supportive and caring culture.

• Reasonable accommodations when applicable and appropriate.

• Equal Opportunity Employer.

• Drug-Free Workplace.