Location Designation: Hybrid - 3 days per week
Corporate Vice President, Data Analytics & Insights
Location
New York, NY (Hybrid)
Position Overview
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
Strategic Analytics Leadership
- 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.
Data Analysis & Insights
- 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.
Business Partnership & Execution
- 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.
Project Leadership
- 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.
Job Level: LEVELPF5
Pay Transparency
Salary Range: $119,000-$170,000
Overtime eligible: Exempt
Discretionary bonus eligible: Yes
Sales bonus eligible: No
Actual base salary will be determined based on several factors but not limited to individual's experience, skills, qualifications, and job location. Additionally, employees are eligible for an annual discretionary bonus. In addition to base salary, employees may also be eligible to participate in an incentive program.
Please note: This role requires FINRA licensed and/or FINRA Associated Person pre-hire fingerprinting.
Our Benefits
We provide a full package of benefits for employees - and have unique offerings for a modern workforce, including leave programs, adoption assistance, and student loan repayment programs. Based on feedback from our employees, we continue to refine and add benefits to our offering, so that you can flourish both inside and outside of work.Click hereto discover more about our comprehensive benefit options or visit our NYL Benefits Site.
Our Commitment to Inclusion
At New York Life, fostering an inclusive workplace is fundamental to who we are and how we serve our communities. We have a longstanding commitment to creating an environment where individuals can contribute their best and succeed together. This foundation is rooted in our core values of humanity and integrity, ensuring that every employee feels valued and supported. By embracing a broad range of perspectives and experiences, we achieve greater success and fulfill our promise of providing financial security and peace of mind to families across all communities. Click here to learn more about New York Life's leadership in this space.
Recognized as one of Fortune's World's Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation. We're proud that due to our mutuality, we operate in the best interests of our policy owners. To learn more about career opportunities at New York Life,please visit the Careers page of www.NewYorkLife.com.
Job Requisition ID: 94896
#BI-Hybrid
Skills Required
- 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
- Experience analyzing large and complex data sets to solve business problems and drive measurable outcomes
- Expertise in linear regression, logistic regression, generalized linear models, 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 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
- Master's degree in a quantitative discipline
- Experience applying advanced analytics within life insurance, financial services, or the 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
- Success influencing senior leadership and driving enterprise-wide adoption of data-driven decision-making
- Strong executive presence and communication skills with senior leaders and cross-functional stakeholders
New York Life Compensation & Benefits Highlights
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Retirement Support — Corporate employees are offered a 401(k) with company match and, for many roles, a defined‑benefit pension, with both the employee contributions and company match vesting 100% from day one. Qualified financial professionals may also have access to a defined‑benefit plan, per plan documents.
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Parental & Family Support — Paid New Parent leave doubled to 8 weeks for all parents as of January 1, 2024, and birthing parents typically receive an additional 6 weeks of paid short‑term disability. The company also highlights fertility and adoption support, backup childcare, tutoring, and elder‑care resources.
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Healthcare Strength — Medical, dental, and vision coverage are paired with HRAs/FSAs, an Employee Assistance Program, wellness programs, and telemedicine. Work/life perks such as gym discounts or on‑site gyms further reinforce the health and wellbeing offering.
New York Life Insights
What We Do
At New York Life, our 180-year legacy of integrity, mutuality, and financial strength fuels a future defined by bold transformation. As the largest mutual life insurance company in the U.S., we operate on behalf of our policy owners—not shareholders. That structure allows us to take a long-term view, investing in people, purpose, and innovation that endures. Guided by a clear enterprise vision to become a technology-, data-, and AI-powered company, we’re modernizing our platforms, rearchitecting experiences, and embedding intelligence across our products and services. Our mission has always been about helping people through life’s most meaningful moments. Today, technology is amplifying that mission—enabling us to serve clients, advisors, and communities in more personalized, proactive ways. With a diversified business portfolio spanning insurance, investments, retirement, group benefits, and direct-to-consumer offerings, New York Life delivers the stability of a Fortune 100 company with the agility of one that’s continuously evolving. We’re powered by a values-led culture, inclusive teams, and a shared belief that when our people thrive, so does our company. Here, tradition fuels momentum—and your ideas, energy, and growth power what’s next.
Why Work With Us
New York Life is transforming from the inside out—blending 180 years of trust with the velocity of innovation. What makes us different is our culture: grounded in integrity, humanity, and shared success—values that show up in how we work, lead, and grow. If you want a place where innovation has purpose—build what's next with us.
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Hybrid Workspace
Employees engage in a combination of remote and on-site work.
















