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Corporate Vice President - Business Discovery & Solution Strategy

Job in New York, New York County, New York, 10261, USA
Listing for: New York Life
Part Time position
Listed on 2026-09-25
Job specializations:
  • IT/Tech
    AI Business & Operations, Business Systems & Technology Analysis, IT Business Analyst, Data Analyst
  • Business
    AI Business & Operations, Business Systems & Technology Analysis, Data Analyst
Salary/Wage Range or Industry Benchmark: 180000 - 260000 USD Yearly USD 180000.00 260000.00 YEAR
Job Description & How to Apply Below
Location: New York

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.

Business Overview

New York Life is advancing strategic transformations designed to fundamentally reimagine critical enterprise capabilities through business process redesign, technology, data, analytics, automation, and AI. Business Discovery & Solution Strategy is an enduring leadership capability within the technology organization, responsible for turning complex and ambiguous business opportunities into future-state workflows, solution strategies, prioritized roadmaps, and measurable outcomes.

The initial assignment focuses on Performance & Enterprise Decision Support within Enterprise Plan to Perform (EPP), including Performance Management and NEXUS. The leader will help reimagine how executives, Finance leaders, FP&A practitioners, and business leaders understand performance, investigate drivers, evaluate scenarios, and take action, moving beyond static reports and dashboards toward intelligent and increasingly agentic decision workflows.

Role Overview

The Corporate Vice President, Business Discovery & Solution Strategy provides senior leadership at the intersection of business strategy, product thinking, technology, data, analytics, and AI. The role is accountable for taking complex and often ambiguous enterprise business problems and translating them into clearly defined outcomes, future-state workflows, solution strategies, capability roadmaps, and prioritized investments that can be executed by business and technology teams.

This is not a traditional business-analysis, requirements-management, or program-management role. The leader is expected to bring a strong product mindset: start with users, decisions, and outcomes; challenge stated requirements where appropriate; develop and test hypotheses; make explicit prioritization choices; define capability and solution boundaries; and maintain accountability for the integrity of the solution strategy from discovery into delivery.

A critical aspect of the role is identifying where AI and agentic capabilities can do more than automate existing processes. The leader will help reimagine workflows around what machines can increasingly understand, analyze, generate, recommend, and execute while preserving appropriate human judgment, governance, security, and controls. The role operates with significant autonomy and executive influence across organizational boundaries and is expected to shape consequential transformation choices and investments.

What

You'll Do
  • Business Discovery & Problem Framing
    • Lead discovery across complex enterprise domains, working directly with senior executives, business leaders, practitioners, and technology stakeholders.
    • Start with the decisions, users, business outcomes, and underlying problems that matter rather than accepting current processes, systems, reports, or stated requirements as the definition of the solution.
    • Structure ambiguous business problems, develop hypotheses, identify critical assumptions, and determine what evidence is required before committing significant technology investment.
    • Develop a deep understanding of user personas, decision journeys, workflows, pain points, information needs, and desired outcomes.
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