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VP, Business Intelligence and Data Analytics
Lockton, Inc.
- United States
- United States
Über
Strategy & Thought Leadership
• Develop and own the enterprise business intelligence and analytics strategy ensuring alignment with organizational objectives.
• Define the long-term vision for analytics capabilities, predictive modeling, and BI innovation.
• Advise executive stakeholders including Product, Consulting Verticals, Finance, Actuarial, and Operations, helping translate business needs into scalable data strategies, inform product design, and promoting a data-driven culture.
• Engage directly with carrier and vendor partners and external stakeholders to provide strategic guidance on analytics frameworks and reporting best practices that support business growth and risk mitigation.
Advanced Analytics & Value Realization
• Design and guide advanced analytics frameworks-including predictive modeling, risk scoring, pricing optimization, and customer lifetime value analysis-to inform decisions, uncover opportunities, and shape data product concepts that meet internal and client needs.
• Define strategic data requirements and visualization standards that support executive-level insight and decision-making.
• Serve as a strategic data advisor in client engagements, using data to uncover meaningful insights that drive underwriting, claims, customer engagement, and overall business performance.
• Enable business units to extract actionable intelligence from actuarial forecasts, claims trends, fraud patterns, and policyholder behavior.
• Partner with internal teams and external stakeholders to ensure insights align with client-specific goals, compliance standards, and industry best practices.
Technology & Infrastructure Vision
• Define the roadmap for the deployment and optimization of BI tools (e.g., Power BI), data platforms (e.g., Azure, Databricks), and evolving cloud architecture.
• Guide the evaluation and selection of analytics tools, platforms, and architectural frameworks to support scalability and agility.
Data Governance & Privacy
• Establish best practices in data governance, stewardship, and data privacy to ensure high-quality, secure data across the organization.
• Ensure regulatory, privacy, and compliance considerations (e.g., HIPAA, SOC2, and state/federal insurance regulations) are integrated into data practices through partnership with legal and compliance.
Cross-Functional Collaboration
• Collaborate with business leaders to ensure analytics initiatives align with evolving priorities and enterprise objectives.
• Provide strategic guidance to data analysts and BI professionals to ensure alignment with enterprise data strategy and business objectives.
• Define enterprise-wide analytics priorities and success metrics, fostering consistency in KPI frameworks and data visualization standards across functions.
# LI-SM3
Requirements:
• Bachelor's degree in Data Science, Statistics, Actuarial Science, Computer Science, or related field; Master's preferred
• 10+ years of progressive leadership experience in data analytics, preferably within the health or life insurance sectors
• Strong knowledge of insurance data sources such as claims, policy administration, enrollment, provider networks, and health risk scores
• Proven success in deploying predictive models, machine learning solutions, and modern data visualization tools
• Familiarity with regulatory data requirements and compliance mandates in health and life insurance
• Exceptional communication and leadership skills with the ability to communicate effectively with executive leadership
Sprachkenntnisse
- English
Hinweis für Nutzer
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