Corporate Vice President, Product Ownership and Agile Delivery Leadership

New York Life•New York, NY

24d•$119,000 - $170,000•Hybrid

About The Position

The Corporate Vice President – Product Owner will support the design, development, and evolution of the enterprise Insight & Analytics ecosystem, with a primary focus on advancing the dashboard strategy and user experience across agent, field manager, and home office audiences. This role is responsible for enabling data-driven decision-making by delivering scalable, intuitive, and high-impact analytics products that unify data, surface actionable insights, and improve business performance. In this strategic role, the Product Owner will translate the Product Manager’s multi-year vision for the analytics and dashboard ecosystem into actionable work for agile delivery teams. This includes ownership of the product backlog, ensuring alignment to business priorities and data strategy, and delivering high-quality, insight-driven capabilities using the Scaled Agile Framework (SAFe). The role requires a strong blend of data fluency, product ownership discipline, and user-centric thinking, along with the ability to partner across data engineering, BI, UX, and business stakeholders to deliver meaningful, measurable outcomes.

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.
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.
Bachelor's degree required.
FINRA licensed and/or FINRA Associated Person pre-hire fingerprinting required.

Nice To Haves

Familiarity with cloud-based data platforms and modern data architectures preferred (Azure, AWS, Databricks, Snowflake, etc.).
Agile/Product Owner certification (SAFe PO/PM, Certified Scrum Product Owner, or equivalent) preferred.
Financial services or insurance experience preferred.
Advanced degree in Business, Data Analytics, Technology, Engineering, or related field preferred.
Experience managing data products, analytical platforms, or enterprise reporting ecosystems.
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.
Agile/Product Owner certifications considered a plus.

Responsibilities

Support the design, development, and evolution of the enterprise Insight & Analytics ecosystem.
Advance the dashboard strategy and user experience across agent, field manager, and home office audiences.
Enable data-driven decision-making by delivering scalable, intuitive, and high-impact analytics products.
Unify data, surface actionable insights, and improve business performance.
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).
Partner across data engineering, BI, UX, and business stakeholders to deliver meaningful, measurable outcomes.
Lead complex digital, data, and analytics products from concept through delivery and adoption.
Align product priorities with business strategy, customer needs, and measurable outcomes.
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.
Translate complex technical and data concepts into actionable business value and user-focused 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.
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.