Corporate Vice President - Product Analytics Lead

Posted Yesterday
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New York, NY, USA
Hybrid
148K-211K Annually
Expert/Leader
Artificial Intelligence • Cloud • Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Powered by purpose. Driven by people. Built to evolve.
The Role
Leads product analytics and partners with product and executive leadership to guide strategy, roadmap prioritization, experimentation, and optimization. Translates customer and business questions into measurable outcomes, analytical roadmaps, segmentation, funnel and cohort analyses, and evidence-based recommendations. Owns product measurement frameworks, dashboards, data quality, instrumentation, and governance while communicating insights, trade-offs, and actions to senior stakeholders.
Summary Generated by Built In
Location Designation: Hybrid - 3 days per week
Technology, Data, AI and Ventures:
Within the Tech, Data, AI, Ventures (TDAV) organization, our work is guided by a shared vision: deploying the power of technology, data, AI and ventures to accelerate sustainable competitive advantage for New York Life's businesses. We build solutions that power how we serve policy owners, agents, advisors and employees while delivering measurable business outcomes.
Across technology, data, AI, cyber, product, digital experience, architecture and infrastructure, TDAV combines the scale and investment of an industry leader, access to leading-edge technologies and the opportunity to help shape how a world-class financial services company competes in the AI era - all backed by the stability and purpose of a mutual company built to last.
Role Overview
The Product Analytics Lead is a high-impact role responsible for shaping product strategy and improving
customer and business outcomes through data. This individual will serve as a dedicated analytics partner to product and executive leadership, bringing structure, rigor, and clarity to complex product decisions.
The role translates product vision and customer needs into measurable goals, analytical roadmaps,
experiments, and actionable recommendations. It connects insights across the product lifecycle, from
opportunity discovery and prioritization through launch, adoption, engagement, and ongoing optimization.
What You'll Do:
Product Strategy and Opportunity Framing • Translate product vision, customer needs, and ambiguous business questions into clear problem
statements, hypotheses, and measurable outcomes. • Partner with product leaders and cross-functional stakeholders to identify customer pain points, size
opportunities, refine scope, and prioritize the product roadmap. • Define product success measures, including north-star metrics, input metrics, guardrails, and decision
criteria.
Product Analytics and Insight Generation • Lead end-to-end product analysis across discovery, development, launch, adoption, engagement,
retention, and value realization. • Integrate product behavioral data with customer, operational, financial, and market data to create a holistic view of product performance. • Build segmentation, funnel, cohort, journey, and driver analyses that reveal friction points and opportunities for improvement. • Apply iterative analytical approaches to test hypotheses, deepen customer understanding, and refine
product recommendations.
Experimentation and Product Optimization • Partner with product, design, and engineering teams to design experiments and establish sound
measurement plans before launch. • Evaluate feature and experience changes using A/B testing, quasi-experimental methods, and other
appropriate techniques. • Turn experiment results and post-launch performance into clear recommendations for scaling, iterating, or
retiring product capabilities. • Create rapid learning loops that help teams make evidence-based trade-offs and continuously improve the
customer experience.
Product Measurement and Data Foundations • Own the product measurement framework and ensure metrics are clearly defined, consistently interpreted,
and tied to customer and business value. • Partner with engineering and data teams to improve event instrumentation, data quality, semantic
consistency, and analytical usability.
Product Analytics Lead | Job Description • Develop scalable dashboards and self-service decision tools while reserving deep-dive analysis for the
highest-value product questions. • Promote responsible use of data, including appropriate governance, privacy, and controls throughout the
product lifecycle.
Executive and Product Communication • Synthesize findings into concise, decision-oriented narratives for product and senior leadership. • Translate complex analysis into product implications, customer impact, risks, trade-offs, and
recommended actions. • Facilitate product reviews, roadmap discussions, and working sessions with clear evidence and a strong
point of view.
Ways of Working • Customer-centered: starts with customer needs, behaviors, and outcomes. • Product-minded: balances desirability, viability, feasibility, and risk when framing recommendations. • Highly iterative: develops insights through cycles of discovery, experimentation, measurement, and
refinement. • Cross-functional: collaborates closely with product management, design, engineering, data, analytics,
operations, and business stakeholders. • Outcome-oriented: focuses on measurable product and customer impact rather than analysis or feature
delivery alone. • Agile and responsive: supports planned roadmap priorities and emerging product decisions.
What You'll Bring:• 6-10+ years in product analytics, product management, data science, strategy, consulting, or a related field. • Experience influencing product strategy and roadmap decisions through customer insight, analytics, and
experimentation. • Experience working on complex, ambiguous product problems with senior stakeholders and cross
functional teams. • Background in financial services, insurance, or another regulated industry is preferred.
Product and Analytical Skills • Strong understanding of product discovery, product development, lifecycle measurement, and outcome
based prioritization. • Advanced analytical toolkit, including SQL, Python or R, experimentation, statistics, and data visualization. • Experience with product analytics methods such as funnels, cohorts, segmentation, retention, journey
analysis, and causal inference. • Experience working with large, complex, and fragmented datasets, including product instrumentation and
event-level data. • Ability to structure and execute end-to-end analyses independently, from question framing through
recommendation and impact measurement. • Exceptional executive communication, product storytelling, and decision-framing skills. • Strong stakeholder management and the ability to influence product and senior leaders without direct
authority. • Ability to balance multiple priorities, make pragmatic trade-offs, and operate effectively in a fast-paced
environment. • A collaborative leadership style that raises the analytical and product decision-making capabilities of the
broader team.
Job Level: LEVELPF5
Pay Transparency
Salary Range: $147,500-$211,000
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.
Company Overview
At New York Life, our 180-year legacy of purpose and integrity fuels our future. As we evolve into a more technology-, data-, and AI-enabled organization, we remain grounded in the values that drive lasting impact.
Our diverse business portfolio creates opportunities to make a difference across industries and communities-inviting bold thinking, collaborative problem-solving, and purpose-driven innovation. Here, you'll find the rare balance of long-standing stability and forward momentum, supported by an inclusive team that honors tradition while embracing progress.
As a Fortune 100 mutual company, we offer a place to grow your skills, contribute to meaningful work, and deliver solutions that matter. Your ideas drive what's next, and your growth powers it.
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: 95190
#BI-Hybrid

Skills Required

  • 6-10+ years of experience in product analytics, product management, data science, strategy, consulting, or a related field
  • Experience influencing product strategy and roadmap decisions through customer insight, analytics, and experimentation
  • Experience working on complex, ambiguous product problems with senior stakeholders and cross-functional teams
  • Strong understanding of product discovery, product development, lifecycle measurement, and outcome-based prioritization
  • Advanced analytical skills including SQL, Python or R, experimentation, statistics, and data visualization
  • Experience with funnels, cohorts, segmentation, retention, journey analysis, and causal inference
  • Experience working with large, complex, fragmented datasets, product instrumentation, and event-level data
  • Ability to execute end-to-end analyses from question framing through recommendation and impact measurement
  • Exceptional executive communication, product storytelling, and decision-framing skills
  • Strong stakeholder management and ability to influence product and senior leaders without direct authority
  • Ability to balance multiple priorities, make pragmatic trade-offs, and work effectively in a fast-paced environment
  • Collaborative leadership style that improves analytical and product decision-making capabilities
  • Background in financial services, insurance, or another regulated industry

What the Team is Saying

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New York Life Compensation & Benefits Highlights

  • Retirement Support — The package prominently features a defined‑benefit pension alongside a 401(k) with company match, with some materials noting day‑one vesting. This combination is repeatedly highlighted as a standout for long‑term security.
  • Parental & Family Support — Offerings include fertility support, adoption assistance, childcare and elder‑care resources, backup childcare/tutoring, and expanded paid new‑parent leave. These benefits are presented as broad, practical supports for caregivers.
  • Healthcare Strength — Listed benefits span medical, dental, vision, spending accounts, life and disability coverage, plus EAP, counseling, wellness resources, and fitness perks. The breadth of core health coverage is consistently emphasized for corporate roles.

New York Life Insights

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The Company
HQ: New York, NY
12,000 Employees
Year Founded: 1845

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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About our Teams

New York Life Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: Not Specified
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HQNew York, NY
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