VP Data Analytics

Sedgwick•Telecommuter TX, IN

1d•Remote

About The Position

The VP Data Analytics establishes and executes Sedgwick’s long-term data analytics vision, strategy, and roadmap in alignment with corporate objectives. The role advises executive leadership on analytics strategy, data-driven decision-making, artificial intelligence, and emerging technologies, and drives enterprise adoption of analytics solutions that improve business and client outcomes. The VP develops multi-year investment strategies and business cases, sets performance measures, and tracks the value delivered by analytics initiatives. This leader oversees enterprise analytics, business intelligence, machine learning, and AI solutions, including predictive analytics, forecasting, trend analysis, operational reporting, and client-facing insights. The VP champions modern analytics platforms, cloud technologies, automation, and AI-enabled capabilities, while ensuring the scalability, accuracy, and reliability of models and reporting. The role also establishes enterprise data governance, quality, stewardship, and reporting standards, and oversees governance processes related to regulatory requirements, privacy standards, and company policies. The VP partners with executive leadership and teams across operations, finance, technology, product, and client services. The role serves as executive sponsor for strategic analytics and transformation initiatives, participates in client and business development activities, and represents Sedgwick at industry and client events. The VP builds and leads high-performing analytics teams, supports talent development and succession readiness, and manages departmental budgets, resources, technology investments, vendors, and strategic partnerships. A bachelor’s degree is required, with a relevant concentration preferred. A relevant master’s degree and professional certifications are strongly preferred or preferred, respectively. Ten years of related experience or an equivalent combination of education and experience is required. The position may involve travel as required.

Requirements

Bachelor’s degree from an accredited college or university.
Ten years of related experience or an equivalent combination of education and experience.
Ability to think clearly and conceptually, exercise judgment and discretion, troubleshoot, solve problems, and analyze.
Ability to handle work-related stress, manage multiple priorities simultaneously, and meet deadlines.
Ability to perform computer keyboarding.
Ability to hear, see, and talk.

Nice To Haves

Degree concentration in Data Analytics, Statistics, Mathematics, Computer Science, Information Systems, Data Science, Economics, Finance, Business Administration, Engineering, or a related field.
Master’s degree in Business Administration (MBA), Data Science, Statistics, Analytics, Information Systems, Economics, or a related discipline.
Professional certifications in analytics, data science, cloud technologies, artificial intelligence, project management, or business intelligence.
Travel as required.

Responsibilities

Establish and execute the long-term vision, strategy, and roadmap for Data Analytics in alignment with corporate objectives.
Advise executive leadership on analytics strategy, data-driven decision-making, artificial intelligence, and emerging technologies.
Drive enterprise adoption of analytics solutions to improve operational performance, financial outcomes, customer experience, and colleague productivity.
Partner with business leaders to identify opportunities, risks, and trends through advanced analytics and predictive modeling.
Develop multi-year analytics investment strategies and business cases; establish performance indicators and track business value.
Oversee the design, development, and deployment of enterprise analytics, business intelligence, machine learning, and AI solutions.
Lead predictive analytics, forecasting, trend analysis, operational reporting, and client-facing insights.
Champion modern analytics platforms, cloud technologies, automation, and AI-enabled capabilities.
Direct advanced analytics programs addressing claims performance, client outcomes, operational efficiency, workforce planning, and financial optimization.
Ensure analytical models and reporting solutions are scalable, accurate, and reliable; promote experimentation with advanced methodologies and emerging technologies.
Establish enterprise standards for data governance, data quality, data stewardship, and reporting consistency.
Oversee analytics governance for compliance with regulatory requirements, privacy standards, and company policies.
Collaborate with Technology, Information Security, and business stakeholders to manage and provide access to enterprise data assets.
Ensure accurate, timely, and actionable reporting for internal and external stakeholders; improve data availability, transparency, and business intelligence capabilities.
Partner with executive leadership and operations, finance, technology, product, and client service teams to advance business objectives through analytics.
Serve as executive sponsor for strategic analytics initiatives and enterprise transformation efforts.
Participate in client presentations, executive reviews, RFP responses, business development activities, and industry or client events as a subject matter expert and company representative.
Build, develop, and lead teams of directors, managers, data scientists, analysts, and business intelligence professionals.
Establish workforce planning strategies and promote succession readiness, colleague development, coaching, mentoring, leadership development, and career progression.
Develop and manage departmental budgets, resource allocation, and technology investments; evaluate vendors, analytics platforms, and strategic partnerships.
Ensure effective resource utilization, operational efficiency, and achievement of financial objectives; monitor performance and implement continuous improvement initiatives.