Corporate Vice President - Product Management Lead

Location Designation: Hybrid - 3 days per week

This role serves as a Product Management Lead in AI&D product management organization and has accountability for creating the vision & strategy, managing the roadmap and executing on the product backlog working closely with cross functional teams across data engineering, data governance, data science and data analytics within AI & Data.

In addition to working with AI&D functional teams, the role will work closely with business counterparts across New York Life in Recruiting & Development, Sales, Service, Eagle Investment Advisory, NYLIFE Securities, Life and other products, Technology and others.

The candidate should have prior product management experience working on data, AI and data products ideally in consumer facing financial services industry as well as a comfortable familiarity with technology & AI trends and industry-leading enterprise platforms.

As a member of the AI&D product management team; your primary focus will be to define the strategy, manage the roadmap & requirements and execute on the backlog across AI&D products portfolio and foundational initiatives.

• Strategy:
  Work with AI&D teams to develop vision and strategy for the enterprise data platform, 360 data products, AI and data analytics solutions to drive effective outcomes across the enterprise
• Ownership:
  Align with strategy for various business teams and create and drive a portfolio of AI & Data cross-functional initiatives to deliver on core elements of the business strategy
• Definition:
  Articulate business problems, gather evidence from users and outside sources, clarify the potential solutions with assumptions, guiding principles, strategic connections
• Roadmap:
  
  Define the roadmap and prioritization across the portfolio and create functional & non-functional requirements and user stories to manage product backlog and execution through scrum teams
• Delivery:
  Partner with AI&D cross functional teams and Business Unit product managers and technology partners to ensure high-quality, efficient execution of key initiatives in a scaled agile delivery framework
• Communication:
  Serve as primary evangelist of AI&D strategy and product capabilities with internal, business, and executive stakeholders
• Outcomes:
  Drive outcomes aligned with business teams and AI&D OKRs and report key metrics driving product effectiveness, utilization and satisfaction

You will bring relevant product management industry experience having worked on enterprise data platforms, data governance, data integration technologies, 360 data products, AI models and services and analytics & reporting for the enterprise (ideally in the financial services industry).

• Bachelor’s OR master’s degree in a technical field (Engineering/Computer Science or related) or business-related discipline
• 15+ years of industry experience with related product management, design, or business-facing product development experience
• 10+ years of product management experience, including developing and managing roadmaps, writing product specifications and managing agile processes
• 5+ years of experience working on data analytics including data warehouse architecture, business data marts, enterprise metrics, self-service analytics, data storytelling, and Gen AI for data analytics
• Thought leader with knowledge of market and technology trends driving the data analytics, Gen AI for data analysis and vendor landscape
• 5+ years of direct people management experience, including growing and mentoring a product team and recruiting (and retaining) talent
• Strong written and oral communication skills, including experience in developing influential presentations. Ability and executive presence to communicate persuasively with stakeholders at all levels in the organization as well as external partners
• Demonstrated success in creating measurable business benefit from products and analytics while interacting with cross functional stakeholders in a complex organization

• Proven track record of successfully managing end-to-end product life cycles, from ideation to launch and ability to think strategically and translate insights…