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Неделя 310 ₽Месяц 630 ₽3 месяца 1 680 ₽Год 5 680 ₽

Head of Insights & Product Delivery — Jersey City, NJ

Продуктовый и проектный менеджмент, Product Lead / CPO · сегодня, 04:15 · 07.11.2026

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Компания: ••••••••

Локация: Jersey City, NJ

Формат: не указан

Занятость: Полная занятость

Грейд: Lead / руководитель

Job Description

The Head of Insights & Product Delivery serves as the strategic bridge between North America business priorities and enterprise analytics capabilities, leading the end-to-end lifecycle from first-mile solutioning to supporting last-mile delivery. Overseeing North America product modeling and analytics product teams for commercial, underwriting platforms, and claims insights, this leader harmonizes regional and global efforts to build and deploy scalable, high-quality data analytic assets and AI capabilities. The role partners closely across stakeholders (business, product owners) to co-create and lead the build and delivery of various types data & analytic solutions that align to business strategy, address business needs, and drive measurable outcomes, working with various teams – global analytics, global data, and IT. This leader brings strong acumen in business intelligence, data science, product development, and technical delivery.

Key Responsibilities

• Drive business engagement to ensure alignment of analytics and platform capabilities to enterprise and North America strategy, business priorities, and adoption needs.

• Lead the model through which business problems become real, deployed solutions.

• Partner and collaborate closely with global teams to align on product roadmap and manage communications with business stakeholders to determine fit, execute planning, and prioritization of capabilities into business solutions.

• Key technical lead overseeing diverse team of modelers, data scientists, product owners and business delivery leaders.

• Lead first-mile solution definition, build, and platform/product delivery across multiple business domains and capabilities.

• Set strategy and direction for solutioning for product modeling and business delivery teams, leading and providing oversight to NA Data & Analytics teams supporting Commercial Product, UW Claims Product, Commercial Data Science, and UW Claims Data Science.

• Partner with Global Analytics and GDO to manage the flow of data & analytic product deployments into the business and facilitate integration of global assets into business work processes.

• Partner with business and product operations teams on prioritization, backlog management, strategic portfolio management, and execution of post deployment quality and feedback loops.

• Partner internally within NA Data & Analytic team to support adoption and scaling of AI capabilities and to drive last-mile delivery readiness and successful handoff for IT and business integration of completed data & analytics assets.

• Drive the harmonization of North America, Global Analytics, and GDO on critical strategic items to ensure alignment, consistency, and execution.

• Strengthen cross-functional alignment with underwriting, actuarial, claims, global teams, and enterprise technology.

• Govern solution standards, technical standards alignment, and reusable asset development.

• Shape the next generation of underwriting, claims, and consumer analytics capabilities.

• Collaborate and partner with other NADA leaders to plan, develop, and execute solutions – including AI and Asset Integration/Business Deployment teams.

Qualifications

• 15+ years of experience leading data, analytics, AI, or platform programs.

• Strong executive presence.

• Deep technical and systems expertise, particularly in the insurance space, including policy administration and claims systems.

• Strong understanding of insurance datasets and data products.

• Proven ability to deliver at scale in a complex, regulated enterprise.

• Experience in P&C insurance or other regulated industries preferred.

• Execution-focused, strategic, and cross-functional.

• Commercially oriented and people-first.

• Ability to translate business needs into delivery momentum.

• Expertise in enterprise AI/ML, digital product lifecycle management, and large-scale delivery.

• Strong predictive modeling experience.

• Demonstrated success influencing senior stakeholders and delivering complex initiatives.

• Strong leadership, communication, and strategic planning abilities.

The pay range for the role is $273,900 to $397,100. The specific offer will depend on an applicant’s skills and other factors. This role may also be eligible to participate in a discretionary annual incentive program. sZuq3 offers a comprehensive benefits package, more details on which can be found on our careers website. The disclosed pay range estimate may be adjusted for the applicable geographic differential for the location in which the position is filled.

About Us

sZuq3 is a world leader in insurance. With operations in 54 countries, sZuq3 provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance, and life insurance to a diverse group of clients. The company is distinguished by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength, underwriting excellence, superior claims handling expertise and local operations globally.

At sZuq3, we are committed to equal employment opportunity and compliance with all laws and regulations pertaining to it. Our policy is to provide employment, training, compensation, promotion, and other conditions or opportunities of employment, without regard to race, color, religious creed, sex, gender, gender identity, gender expression, sexual orientation, marital status, national origin, ancestry, mental and physical disability, medical condition, genetic information, military and veteran status, age, and pregnancy or any other characteristic protected by law. Performance and qualifications are the only basis upon which we hire, assign, promote, compensate, develop and retain employees. sZuq3 prohibits all unlawful discrimination, harassment and retaliation against any individual who reports discrimination or harassment.

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