Corporate Vice President - Technical Product Manager

About New York Life For over 180 years, we’ve helped turn your biggest dreams into milestones that last a lifetime. As a mutual company we hold ourselves to the highest standards of transparency, objectivity, and integrity. We’re committed to improving local communities through a culture of giving and volunteerism, supported by our own New York Life Foundation. Join a company that values development, career growth, collaboration, innovation, and diversity & inclusion. Through various resources and programs, you can grow your career while developing personally and professionally. Your life. New York Life. More powerful, togetherᵀᴹ. Insurance • Investments • Retirement • Advisory Services New York Life is an Equal Opportunity Employer - M/F/Veteran/Disability/Sexual Orientation/Gender Identity Investments are offered through NYLIFE Securities LLC (Member FINRA/SIPC), a Licensed Insurance Agency. Advisory services are offered through Eagle Strategies LLC, a Registered Investment Adviser. NYLIFE Securities LLC and Eagle Strategies LLC are New York Life Companies. Not all New York Life agents are licensed to offer investments or advisory services. Only those agents who disclose their affiliation with NYLIFE Securities LLC and/or Eagle Strategies LLC are credentialed to provide the respective products and services. Read our disclaimers: https://nyl.co/socialmedia

New York Life

Life Insurance Retirementand Investments

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10,001+ employees

Financial Services

New York, New York

Privately Held

357k LinkedIn followers

• Strategic Product Vision & Roadmap Leadership: You will set the multi-year product vision and strategy for the Decision Intelligence portfolio, translating enterprise priorities and field-professional needs into a roadmap that sequences investment across multiple product lines. You hold the standard for what constitutes a defensible bet, and you are the person who can articulate why a strategy will or will not work — backed by evidence, market context, and a clear-eyed view of technical feasibility.
• Senior Leadership & Executive Partnership: You will be a primary product voice in front of senior leadership and business stakeholders — framing trade-offs, defending prioritization decisions, and translating technical constraints into business terms that non-technical executives can act on. You are comfortable being the person in the room who says no to a popular idea and yes to an unpopular one, and can back either with a clear rationale.
• Cross-Functional Team Leadership: You will lead and grow a cross-functional pod of product managers, designers, engineers, and data scientists — setting working norms, unblocking execution, and coaching more junior product talent. You are accountable for the team's output and its health, and you build the kind of trust that lets you delegate meaningfully rather than review everything yourself.
• Technical & Data Fluency: You will partner directly with engineering leads and data scientists on architecture decisions, model design, and data contracts — not as an approver at the end of the process, but as a participant early enough to shape it. You understand system constraints, data quality issues, and model limitations well enough to make credible product trade-offs and to know when a technical concern raised by an engineer should change the plan.
• Design Partnership & Validation: You will work closely with design leadership to set UX standards across the portfolio, review and challenge wireframes and prototypes, and ensure user validation happens before teams build at full fidelity. You bring the product, business, and technical perspective to that partnership; design brings systems and visual thinking. Together you set the bar for what ships.
• Shared Platform & Reusability Strategy: A core expectation of this role is thinking in platforms, not point solutions. You will set the strategy for shared components, data services, and design patterns that are reused across the full canon of intelligence products, and you will hold other teams accountable to building for reuse rather than rebuilding in isolation.
• Data, AI/ML, and Governance: Intelligence products are only as good as the models and data behind them. You will partner with data science and risk/compliance stakeholders to define what "production-ready" means for a model-driven surface — accuracy thresholds, explainability requirements, monitoring, and the honest communication of uncertainty to end users, particularly in a regulated financial services context.

• 12-15 years of experience across product management, technical program leadership, or engineering roles, including significant time operating as a technical product leader for data- or AI/ML-driven products
• Demonstrated success setting product strategy and roadmap at a portfolio or platform level, with direct accountability to senior leadership or executive stakeholders
• Fluency across the full stack of a modern product organization: front-end and back-end architecture, APIs and data contracts, and the fundamentals of how ML/AI models are built, evaluated, and deployed
• Track record of leading and developing cross-functional teams — product managers, engineers, designers, and data scientists — including people management or strong technical-lead experience
• Exceptional ability to move between altitudes in the same day: a technical architecture review in the morning, an executive steering committee in the afternoon
• Experience partnering with design on UX strategy and holding a quality bar across a portfolio of products, not a single surface
• Comfort with ambiguity and the judgment to prioritize ruthlessly in a resource-constrained, high-ownership team
• Prior experience in financial services, insurance, or another highly regulated enterprise environment
• Hands-on familiarity with React/TypeScript front-ends and Python-based data or ML pipelines, sufficient to review technical designs credibly
• A history of building the product function itself — hiring, mentoring, and setting process for a growing team
• Executive presence developed through direct board-, C-suite-, or investor-facing responsibility
• Portfolio-level roadmapping, prioritization frameworks, and business-case development
• Executive communication: narrative building, steering-committee facilitation, board-ready materials
• Team leadership: hiring, coaching, performance management, and cross-functional facilitation
• Front-end architecture (React/TypeScript ecosystems): component design, performance, accessibility at a review level
• Back-end and data architecture: REST/GraphQL API design, data contracts, service boundaries, system scalability
• AI/ML product fluency: model lifecycle, evaluation metrics, explainability, and the operational realities of shipping model-driven features
• Enterprise engineering practice: CI/CD, cloud infrastructure basics, and how a large regulated enterprise ships software safely
• UX strategy and design-system thinking (Figma-level fluency preferred, not required)
• Data governance, model risk, and compliance considerations specific to financial services and insurance
• Strategy Leadership Architecture AI/ML Data UX Governance Exec Comms
• Job Level: LEVELPF5
• Pay Transparency

• 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.
• 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 here to discover more about our comprehensive benefit options or visit our NYL Benefits Site.