Job description

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. Role Overview We build intelligence products that help field professionals make better decisions — not static reports or generic dashboards, but purpose-built surfaces that deliver the right context at the point of action. The quality of those surfaces determines whether our work reaches users at all. This role exists because that bar matters, and because getting it right at scale requires someone who can hold the thread from boardroom priorities down to data pipeline behavior. The Senior Technical Product Manager on this team owns the product agenda for Decision Intelligence end to end: the strategic narrative that earns executive sponsorship, the roadmap that a squad of engineers, data scientists, and designers can actually execute against, and the judgment to know when a technical shortcut is a smart trade-off versus a debt that will sink the product later. You are not translating between business and engineering — you are fluent in both, and you are the person each side trusts to make the call. This is a leadership role inside a small, high-ownership team embedded in a large enterprise. You will set direction for other product professionals, represent the portfolio to senior leadership, and remain close enough to the technical fabric — data models, APIs, ML outputs, system architecture — to stress-test what your team proposes before it reaches a steering committee. If you want a role that moves fluidly between a whiteboard with engineers and a slide deck for the C-suite, this is the right environment. What You'll Do 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. What You'll Bring • 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 Things That Would Strengthen Your Candidacy • 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 Salary Range: $119,000-$170,000 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. Company Overview At New York Life, our 180-year legacy of purpose and integrity fuels our future. As we evolve into a more technology-, data-, and AI-enabled organization, we remain grounded in the values that drive lasting impact. Our diverse business portfolio creates opportunities to make a difference across industries and communities—inviting bold thinking, collaborative problem-solving, and purpose-driven innovation. Here, you’ll find the 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. Our Benefits 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 . Our Commitment to Inclusion 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. Click here to learn more about New York Life’s leadership in this space. Recognized as one of Fortune’s World’s Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation . We're proud that due to our mutuality, we operate in the best interests of our policy owners. To learn more about career opportunities at New York Life, please visit the Careers page of www.NewYorkLife.com . Job Requisition ID: 95194

Requirements

Must-haves

Location Designation: Hybrid - 3 days per week
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
Things That Would Strengthen Your Candidacy
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
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

Nice-to-haves

UX strategy and design-system thinking (Figma-level fluency preferred, not required)

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Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimlreacttypescriptpythonaccessibilityrestgraphqlapici/cdfigma

Platform: career-feeds
Effort: medium

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