Corporate Vice President

Corporate Vice President, Data Analytics & Insights

New York Life is seeking a highly skilled and experienced Senior Data Analytics & Insights professional to lead data-driven initiatives and provide actionable insights that support strategic business decisions. This individual will play a key role within the Service Experience Value Stream, partnering across Digital Services, Service Operations, Technology, and business stakeholders to develop and execute a data-driven strategy that improves business performance, optimizes operations, and identifies growth opportunities.

Reporting to the Digital Services leader within the Service Experience Value Stream, this role will help establish a more data-centric operating model by leveraging analytics, business intelligence, and advanced statistical methodologies. The successful candidate will be a hands-on leader with a passion for transforming data into actionable business outcomes and influencing decision-making across a matrixed organization.

Responsibilities

• Champion and socialize insights and recommendations informed by analytics to drive sustainable, long-term business value and enterprise-wide opportunities.
• Partner with Digital Services, Service Operations, Product Management, and executive leadership to identify business opportunities and support strategic decision-making through data-driven insights.
• Contribute to the evolution of analytics strategy by generating new ideas, influencing leadership discussions, and preparing executive-level presentations and recommendations.
• Drive adoption of analytics and data-based decision making across the organization through strong stakeholder engagement and partnership management.

• Lead the design and execution of quantitative and qualitative analyses to solve complex business challenges and deliver meaningful insights.
• Analyze large and complex data sets to identify trends, opportunities, risks, and actionable recommendations.
• Utilize advanced statistical techniques and predictive modeling approaches to support business objectives.
• Translate technical findings into concise, easy-to-understand insights for business stakeholders and executive leadership.
• Develop and maintain key performance metrics and reporting frameworks to monitor organizational performance.
• Create dashboards to monitor and assess the performance drivers of processes and technology features.

• Collaborate with the COO organization, Service Operations leaders, Product Managers, and Technology partners to establish and manage ongoing business objectives and key results (OKRs).
• Monitor OKR performance and partner with leads to develop action plans to address performance gaps and optimize outcomes.
• Support Product Owners and Product Managers by providing analytical insights and data necessary for cost-benefit analyses and strategic investment decisions.
• Partner with Technology teams to understand New York Life's data ecosystem and determine optimal approaches for data access, governance, and utilization.
• Collaborate with analytics leaders across value streams to align methods, share best practices, and drive consistency in analytical approaches.

• Lead multiple high-priority initiatives simultaneously while meeting deadlines and maintaining high-quality deliverables.
• Coordinate cross-functional teams and stakeholders to ensure successful execution of analytics projects.
• Provide guidance and mentorship to team members and business partners on analytical methodologies and best practices.

Qualifications

Required Qualifications

• Bachelor's degree in Business, Mathematics, Statistics, Economics, Computer Science, Engineering, or another quantitative discipline.
• 7+ years of experience in analytics, business intelligence, data science, data engineering, or related fields.
• 3+ years of people leadership and/or team management experience.
• Demonstrated experience analyzing large and complex data sets to solve business problems and drive measurable outcomes.
• Strong expertise in data analysis and statistical modeling techniques, including:
• Linear Regression
• Logistic Regression
• Generalized Linear Models (GLM)
• Survival Analysis
• Decision Trees
• Cluster Analysis
• Principal Components Analysis
• Feature Engineering and Model Validation
• Experience with advanced analytics tools and programming languages, including:
• SQL
• Databricks
• Python
• AWS Redshift
• R
• Spark
• Experience developing dashboards and visualizations using Tableau, R Shiny, Power BI, Spotfire, or similar tools.
• Strong ability to synthesize information, develop insights, and communicate recommendations clearly through presentations, reports, and executive-level communications.
• Proven ability to manage multiple priorities and deliver results in a fast-paced, highly collaborative environment.
• Strong verbal, written, presentation, and stakeholder management skills.

Preferred Qualifications

• Master's degree in a quantitative discipline.
• Experience applying advanced analytics within the life insurance, financial services, or broader insurance industry.
• Knowledge of life insurance products, operations, and customer experience processes.
• Experience with predictive analytics and machine learning solutions in large enterprise environments.
• Experience using GitHub and modern data development practices.
• Demonstrated success influencing senior leadership and driving enterprise-wide adoption of data-driven decision making.
• Strong executive presence and ability to communicate effectively with senior leaders and cross-functional stakeholders.