Corporate Vice President

New York Life•Dallas, TX

48d•$107,000 - $153,000•Hybrid

About The Position

New York Life is seeking a highly skilled and experienced data analytics and insights professional to lead data-driven initiatives and provide actionable insights that support strategic business decisions. The role is part of the Service Experience Value Stream and partners across Digital Services, Service Operations, Technology, Product Management, and other 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 hands-on leadership role will help establish a more data-centric operating model through analytics, business intelligence, and advanced statistical methodologies. The successful candidate will transform data into business outcomes and influence decision-making across a matrixed organization.

Requirements

Bachelor's degree in Business, Mathematics, Statistics, Economics, Computer Science, Engineering, or another quantitative discipline.
At least 7 years of experience in analytics, business intelligence, data science, data engineering, or a related field.
At least 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 SQL, Databricks, Python, AWS Redshift, R, and Spark.
Experience developing dashboards and visualizations using Tableau, R Shiny, Power BI, Spotfire, or similar tools.
Ability to synthesize information, develop insights, and clearly communicate recommendations through presentations, reports, and executive-level communications.
Ability to manage multiple priorities and deliver results in a fast-paced, collaborative environment.
Strong verbal, written, presentation, and stakeholder management skills.

Nice To Haves

Master's degree in a quantitative discipline.
Experience applying advanced analytics within life insurance, financial services, or the 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.

Responsibilities

Champion and communicate analytics-based insights and recommendations to drive sustainable business value and enterprise-wide opportunities.
Partner with Digital Services, Service Operations, Product Management, and executive leadership to identify business opportunities and inform strategic decisions.
Contribute to analytics strategy by developing ideas, influencing leadership discussions, and preparing executive presentations and recommendations.
Promote analytics and data-based decision-making through stakeholder engagement and partnership management.
Lead 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.
Apply advanced statistical techniques and predictive modeling to support business objectives.
Translate technical findings into clear insights for business stakeholders and executive leadership.
Develop and maintain performance metrics and reporting frameworks to monitor organizational performance.
Create dashboards to monitor and assess process and technology feature performance drivers.
Collaborate with the COO organization, Service Operations leaders, Product Managers, and Technology partners to establish and manage business objectives and key results (OKRs).
Monitor OKR performance and work with leads on action plans to address gaps and optimize outcomes.
Provide Product Owners and Product Managers with analytical insights for cost-benefit analyses and strategic investment decisions.
Partner with Technology teams to understand the data ecosystem and determine effective approaches to data access, governance, and utilization.
Collaborate with analytics leaders across value streams to align methods, share best practices, and promote consistency.
Lead multiple high-priority initiatives simultaneously while meeting deadlines and maintaining quality.
Coordinate cross-functional teams and stakeholders to execute analytics projects successfully.
Guide and mentor team members and business partners on analytical methodologies and best practices.