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About the Role

The Corporate Vice President – Product Owner will support the design, development, and evolution of the enterprise Insight & Analytics ecosystem, focusing on advancing the dashboard strategy and user experience for agent, field manager, and home office audiences. This role enables data-driven decision-making by delivering scalable, intuitive, and high-impact analytics products that unify data, surface actionable insights, and improve business performance.

Responsibilities

Translate the Product Manager’s multi-year vision for the analytics and dashboard ecosystem into actionable work for agile delivery teams.
Own the product backlog, ensuring alignment to business priorities and data strategy.
Deliver high-quality, insight-driven capabilities using the Scaled Agile Framework (SAFe).
Lead complex digital, data, and analytics products from concept through delivery and adoption.
Align product priorities with business strategy, customer needs, and measurable outcomes.
Manage stakeholders and build alignment across business, technology, data, and operations teams.
Define product vision, success metrics, roadmaps, and value realization strategies.
Drive product adoption, change management, and continuous improvement initiatives.
Partner with Data Engineering, Analytics, and Architecture teams to deliver scalable data products and analytical solutions.
Manage and prioritize product backlogs in Agile and SAFe environments.
Create user stories, develop acceptance criteria, refine backlogs, and prioritize features.
Lead PI Planning, Sprint Planning, Iteration Reviews, System Demos, and Retrospectives.
Identify and manage dependencies, risks, and delivery trade-offs across multiple teams.
Conduct user research, gather customer insights, map user journeys, and elicit requirements.
Drive organizational change management, user adoption, and business readiness activities for new capabilities and products.
Leverage user insights, customer feedback, and analytics to inform product decisions and roadmap priorities.
Define and track product KPIs, adoption metrics, engagement measures, and business outcomes.
Deliver enterprise-scale dashboards, self-service analytics platforms, reporting solutions, or digital experiences.
Manage data products, analytical platforms, or enterprise reporting ecosystems.
Enable data discovery, self-service analytics, and business intelligence.

Requirements

Proven experience leading complex digital, data, and analytics products from concept through delivery and adoption.
Demonstrated ability to align product priorities with business strategy, customer needs, and measurable outcomes.
Strong stakeholder management and influence skills, with the ability to build alignment across business, technology, data, and operations teams.
Experience defining product vision, success metrics, roadmaps, and value realization strategies.
Ability to drive product adoption, change management, and continuous improvement initiatives.
Strong understanding of enterprise data ecosystems, including data warehousing, data modeling, semantic layers, data governance, and data quality management.
Experience partnering with Data Engineering, Analytics, and Architecture teams to deliver scalable data products and analytical solutions.
Proficiency with Business Intelligence and visualization platforms such as Tableau, Power BI, or similar technologies.
Deep understanding of KPI development, metric standardization, reporting frameworks, and analytical best practices.
Knowledge of modern AI and Generative AI capabilities, including practical applications for analytics, insights generation, personalization, automation, and decision support.
Familiarity with cloud-based data platforms and modern data architectures preferred (Azure, AWS, Databricks, Snowflake, etc.).
Ability to translate complex technical and data concepts into actionable business value and user-focused solutions.
Strong experience managing and prioritizing product backlogs in Agile and SAFe environments.
Expertise in user story creation, acceptance criteria development, backlog refinement, and feature prioritization.
Experience leading PI Planning, Sprint Planning, Iteration Reviews, System Demos, and Retrospectives.
Proven ability to identify and manage dependencies, risks, and delivery trade-offs across multiple teams.
Strong understanding of user research, customer insights, journey mapping, and requirements elicitation techniques.
Experience driving organizational change management, user adoption, and business readiness activities for new capabilities and products.
7+ years of experience in Product Management, Product Ownership, or related roles supporting digital, analytics, or data-driven products.
Experience delivering enterprise-scale dashboards, self-service analytics platforms, reporting solutions, or digital experiences.
Proven track record of leveraging user insights, customer feedback, and analytics to inform product decisions and roadmap priorities.
Experience defining and tracking product KPIs, adoption metrics, engagement measures, and business outcomes.
Demonstrated success delivering products in highly regulated environments, with financial services or insurance experience preferred.
Understanding of data governance, metadata management, master data management, and data lineage concepts.
Experience with data discovery, self-service analytics, and business intelligence enablement.
Familiarity with experimentation, A/B testing, and data-driven decision frameworks.
Knowledge of data privacy, regulatory, and compliance considerations within analytics environments.
This role requires FINRA licensed and/or FINRA Associated Person pre-hire fingerprinting.

Skills

Product Leadership
Strategic Thinking
Data Fluency
Analytics Fluency
AI Fluency
Agile Product Ownership
Delivery Excellence
User-Centered Design
Customer Advocacy
Digital Product Management
Cross-Functional Collaboration
Stakeholder Management
Change Leadership
Adoption Management
Communication
Influence
Executive Presence
Tableau
Power BI
Azure
AWS
Databricks
Snowflake

Location

Hybrid

Work Type

Hybrid - 3 days per week
Full-time

Experience Level

7+ years of experience in Product Management, Product Ownership, or related roles supporting digital, analytics, or data-driven products.

Education Level

Bachelor's degree required
Advanced degree in Business, Data Analytics, Technology, Engineering, or related field preferred.

Salary/Compensations

$119,000-$170,000

Benefits

Leave programs
Adoption assistance
Student loan repayment programs
Full package of benefits

About the Company

At New York Life, our 180-year legacy of purpose and integrity fuels our future.
We are evolving into a more technology-, data-, and AI-enabled organization, grounded in values that drive lasting impact.
Our diverse business portfolio creates opportunities to make a difference across industries and communities.
We offer a 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.
New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation.
Due to our mutuality, we operate in the best interests of our policy owners.

Equal Opportunity

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.
Recognized as one of Fortune’s World’s Most Admired Companies.