Tiger Analytics

Delivers Data and AI transformation

Technical Product Manager - Insurance

Technical Product ManagementConfirmed live in the last 24 hours

Full-timeToronto, ON, CanadaNo salary listed

About the Job

Requirements

Experience in technical product management, product management, or platform product management, preferably within insurance, actuarial, financial services, or risk analytics.
Strong understanding of actuarial and insurance concepts, such as pricing, underwriting, reserving, claims, risk assessment, or actuarial modeling.
Demonstrated experience translating business and domain-specific requirements into technical product features, user stories, and product roadmaps.
Experience working with engineering, data science, analytics, and business teams to deliver technology-enabled products.
Familiarity with data platforms, analytics solutions, artificial intelligence/machine learning-enabled products, or actuarial modeling systems.
Experience defining product objectives and key results/key performance indicators, measuring adoption, and communicating product value to stakeholders.
Understanding of insurance or financial services governance, regulatory, and compliance considerations.

Responsibilities

Own and execute the product vision, strategy, and roadmap for technology-enabled actuarial and insurance solutions, aligning product priorities with business objectives.
Understand actuarial and insurance business functions, including pricing, underwriting, reserving, risk modeling, claims analytics, and financial forecasting, and translate business challenges into technology solutions.
Define product capabilities, user requirements, and business use cases, translating complex actuarial and insurance needs into clear product requirements, user stories, and acceptance criteria.
Define and track product objectives and key results, key performance indicators, and adoption metrics to measure business impact, platform performance, and user engagement.
Partner closely with engineering, data science, analytics, and actuarial teams to develop, validate, and showcase proof of concepts, prototypes, and product demos.
Collaborate with business leaders, actuaries, insurance subject matter experts, and technical teams to prioritize requirements, manage dependencies, and ensure successful product delivery.
Drive go-to-market initiatives, product awareness, stakeholder engagement, and adoption of platform capabilities across enterprise teams.
Ensure products align with applicable insurance and financial services regulatory, compliance, data privacy, and risk management requirements.
Communicate product strategy, roadmap progress, business outcomes, and key decisions to senior leadership and stakeholders.
Gather user feedback, identify opportunities for product enhancements, and continuously improve platform capabilities based on business needs and industry developments.

Desired Qualifications

Experience in technical product management, product management, or platform product management within insurance, actuarial, financial services, or risk analytics.

Technical Product Manager (Insurance)

Tiger Analytics Inc. · Toronto, Canada (Remote) · Full-time · Posted 2026-10-07

Workplace: remote

Department: Consulting

Description

Tiger Analytics is an advanced analytics consulting firm recognised for our deep expertise in Data Science, Machine Learning, and AI. Our partnerships with Fortune 100 companies enable us to tackle complex business challenges and drive value through innovative analytical solutions.

We are looking for an experienced Product Manager to lead the strategy, development, and go-to-market execution of data products within the Insurance domain. This role requires strong product ownership, stakeholder management, and hands-on collaboration with engineering and analytics teams.

Key Responsibilities

Product Strategy & Roadmap: Own and execute the product vision, strategy, and roadmap for technology-enabled actuarial and insurance solutions, aligning product priorities with business objectives.
Actuarial & Insurance Domain: Understand actuarial and insurance business functions, including pricing, underwriting, reserving, risk modeling, claims analytics, and financial forecasting, and translate business challenges into technology solutions.
Product Requirements: Define product capabilities, user requirements, and business use cases, translating complex actuarial and insurance needs into clear product requirements, user stories, and acceptance criteria.
Product Metrics: Define and track product OKRs, KPIs, and adoption metrics to measure business impact, platform performance, and user engagement.
Technical Collaboration: Partner closely with engineering, data science, analytics, and actuarial teams to develop, validate, and showcase proof of concepts, prototypes, and product demos.
Stakeholder Management: Collaborate with business leaders, actuaries, insurance SMEs, and technical teams to prioritize requirements, manage dependencies, and ensure successful product delivery.
Go-to-Market & Adoption: Drive go-to-market initiatives, product awareness, stakeholder engagement, and adoption of platform capabilities across enterprise teams.
Governance & Compliance: Ensure products align with applicable insurance and financial services regulatory, compliance, data privacy, and risk management requirements.
Executive Communication: Communicate product strategy, roadmap progress, business outcomes, and key decisions to senior leadership and stakeholders.
Continuous Improvement: Gather user feedback, identify opportunities for product enhancements, and continuously improve platform capabilities based on business needs and industry developments.

Requirements

Experience in Technical Product Management, Product Management, or Platform Product Management, preferably within insurance, actuarial, financial services, or risk analytics.
Strong understanding of actuarial and insurance concepts, such as pricing, underwriting, reserving, claims, risk assessment, or actuarial modeling.
Demonstrated experience translating business and domain-specific requirements into technical product features, user stories, and product roadmaps.
Experience working with engineering, data science, analytics, and business teams to deliver technology-enabled products.
Familiarity with data platforms, analytics solutions, AI/ML-enabled products, or actuarial modeling systems.
Experience defining product OKRs/KPIs, measuring adoption, and communicating product value to stakeholders.
Strong communication, stakeholder management, prioritization, and problem-solving skills.
Understanding of insurance or financial services governance, regulatory, and compliance considerations.

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment, with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

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About the Company

Tiger Analytics

Delivers Data and AI transformation

Tiger Analytics helps large organizations plan and execute Data and AI–led transformations at scale. It works with clients to translate business needs into data and AI initiatives, using an approach that combines business value mapping, agile operating models, and a platforms-based architecture, backed by partnerships with major hyperscalers. The company designs and delivers end-to-end data and AI solutions—from strategy and data engineering to model development and deployment—so that AI can be applied to tough, real-world problems. Unlike firms that rely mainly on standard playbooks, Tiger Analytics builds custom approaches and accelerators to suit each client’s value chain and operating model. With a global team of 5000+ technologists and consultants, the goal is to enable measurable value and practical outcomes through data and AI programs that work at enterprise scale.

Company size: 1,001-5,000
Company stage: Not listed
Total funding: Not listed
Headquarters: San Jose, CA
Founded: 2010

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