FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in establishing and executing data analytics strategies aligned with corporate objectives, focusing on advanced analytics, machine learning, and AI solutions. Proven ability to lead teams, drive enterprise-wide adoption of analytics, and ensure compliance with regulatory standards.
Highest-signal resume keywords
Data Analytics StrategyMachine Learning SolutionsPredictive ModelingBusiness IntelligenceRegulatory Compliance
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalyticsPredictive AnalyticsStatistical AnalysisFinancial OptimizationOperational ReportingData GovernanceCloud TechnologiesAI-Enabled CapabilitiesKPI EstablishmentBudget Management
Soft Skills
Problem SolvingClear ThinkingExcellent JudgmentCollaborationCoaching and Mentoring
Tools & Technologies
Analytics PlatformsBusiness Intelligence ToolsCloud SolutionsAutomation TechnologiesData Visualization Tools
Certifications & Qualifications
Professional Certifications in AnalyticsData Science CertificationsCloud Technologies CertificationsProject Management CertificationsBusiness Intelligence Certifications
Industry Keywords
Data-Driven Decision MakingOperational PerformanceClient OutcomesWorkforce PlanningContinuous Improvement
Tech Stack
Tools & technologiesCloud
About the role
Key responsibilities & impact- Establish and execute the long-term vision, strategy, and roadmap for Data Analytics aligned with corporate objectives
- Advise executive leadership on analytics strategy, data-driven decision making, artificial intelligence, and emerging technologies
- Drive enterprise-wide adoption of analytics solutions improving operational performance, financial outcomes, customer experience, and colleague productivity
- Identify emerging opportunities, risks, and trends through advanced analytics and predictive modeling
- Develop multi-year analytics investment strategies and business cases
- Establish KPIs and track business value realization for analytics initiatives
- Oversee enterprise analytics, business intelligence, machine learning, and AI solution design, development, and deployment
- Lead predictive analytics, forecasting, trend analysis, operational reporting, and client-facing insights
- Champion modern analytics platforms, cloud technologies, automation, and AI-enabled capabilities
- Direct analytics programs focused 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 compliance with regulatory requirements, privacy standards, and company policies
- Collaborate with Technology, Information Security, and business stakeholders on enterprise data assets
- Deliver accurate, timely, and actionable reporting to internal and external stakeholders
- Partner with executive leadership and cross-functional teams on analytics strategies and enterprise transformation
- Participate in client presentations, executive reviews, RFP responses, and business development activities as a subject matter expert
- Build and maintain key client and stakeholder relationships
- Represent Sedgwick at industry conferences, leadership forums, and client events
- Build, develop, and lead teams of directors, managers, data scientists, analysts, and business intelligence professionals
- Establish workforce planning and succession readiness strategies
- Foster innovation, collaboration, continuous learning, and accountability
- Coach and mentor colleagues and support leadership development and career progression
- Develop and manage departmental budgets, resource allocation strategies, and technology investments
- Evaluate vendor solutions, analytics platforms, and strategic partnerships
- Monitor organizational performance and implement continuous improvement initiatives
Requirements
What you’ll need- 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 preferred
- Professional certifications in analytics, data science, cloud technologies, artificial intelligence, project management, or business intelligence preferred
- Ten (10) years of related experience or equivalent combination of education and experience required
- Clear and conceptual thinking ability
- Excellent judgment, troubleshooting, problem solving, analysis, and discretion
- Ability to handle work-related stress
- Ability to handle multiple priorities simultaneously
- Ability to meet deadlines
- Computer keyboarding
- Travel as required
Benefits
Comp & perks- Work-life balance
- Career growth opportunities
- Caring culture
- Reasonable accommodations when applicable and appropriate
- Equal Opportunity Employer
- Drug-Free Workplace