Posted last month
Technical Product Manager (Insurance)
@ Tiger Analytics Inc.
Toronto, Ontario
Overview
Tiger Analytics is hiring an experienced Technical Product Manager to own the strategy, roadmap and go-to-market execution of insurance data products. The role works closely with engineering, data science and actuarial teams on actuarial and insurance solutions, and the posting describes a full-time position with significant career development and high individual responsibility.
Responsibilities:
- Own product strategy, roadmap and go-to-market for insurance data products
- Define product requirements, user stories and acceptance criteria
- Define and track OKRs, KPIs and adoption metrics
- Collaborate with engineering, data science and actuarial teams on proofs of concept and demos
- Communicate progress and business outcomes to senior leadership
Requirements summary:
- Experience in technical or platform product management, preferably in insurance or financial services
- Understanding of pricing, underwriting, reserving, claims and risk modeling
- Experience translating business needs into product features and roadmaps
- Familiarity with data platforms, analytics, and AI/ML-enabled products
- Knowledge of insurance regulatory, compliance and data privacy requirements
Tools & skills
Source and dates
Employer career site / ATS feed · workable
- Employer posting date
- 2026-10-06
- First seen by our source
- 2026-10-11
- Source record updated
- 2026-10-12
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Mid level |
| Department | Product management |
| Hours per week | 40 (estimated) |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Tiger Analytics Inc.
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
We are a global leader in AI and Analytics. We provide certainty to shape a better tomorrow.
Full company description
In a world rife with complexity, we help our customers cut through uncertainty, plan strategically, and execute confidently. We work with them to strategize and operationalize Data and AI-led transformation programs that deliver real value at scale. Our deep understanding of business value chains, agile operating models, platforms approach, and strategic hyperscaler partnerships allow us to engineer cutting-edge Data & AI solutions. We go beyond standard playbooks and best practices, and forge new ones. If you’re keen to reimagine what AI can do for some of the toughest problems out there, come join our team of 5000+ brilliant technologists and consultants. Explore opportunities across our offices in the US, India, Canada, Mexico, UK, Spain, Singapore and Australia.
- LinkedIn followers
- 630,421
- People associated on LinkedIn
- 6,613
- Reported office locations
- 2350 Mission College Blvd, Ste# 495, Santa Clara, CA 95054, US
- 111 Town Square Pl, Jersey City, New Jersey 07310, US
- 36 Robinson Rd, Singapore, Singapore 068877, SG
- 55 E Monroe, Suite 3800, Chicago, Illinois 60603, US
- 5151 Headquarters Dr, Plano, Texas 75024, US
- 65 St Paul’s Churchyard, 3rd Floor Paternoster House, London, EC4M 8AB, GB
- 383 Kent St, Level 17, Sydney, New South Wales 2000, AU
- 200 Bay St, North Tower, Suite 1200, PO Box 96, Toronto, Ontario M5J 2J2, CA
- RMZ Millenia Business Park 2, Campus 5, 2nd Floor, No. 143, Kandanchavadi, MGR Road, Perungudi, Chennai, Tamil Nadu 600096, IN
- Prestige Tech Park, 1st floor Mercury Block, Kadubeesanahalli, Bengaluru, 560103, IN
- 8th Floor, B block (iSprout), Divyasree Trinity, Hitech City Rd, Madhapur,, Hyderabad, Telangana 500081, IN
- De Entree 252, Amsterdam, North Holland 1101 EE, NL
- Business categories
- News
- Consulting
- Analytics
- Advertising
- Big Data
- Machine Learning
- Other recorded names
- Tiger Analytics
- Tiger Analytics Inc.
- Specialties
- Machine Learning
- Predictive Analytics
- Forecasting
- Natural Language Processing
- Computer Vision
- Cloud Data Platform Engineering
- Data-as-a-service
- Lean Data Governance
- Modern BI & Data Warehousing
- AI/ML Ops
- ML Product Engineering
- Data Engineering
- Data Modernization
- and Generative AI
- Profile identifies a recruitment agency
- No
- Reported total investment
- 0
Currency and observation date were not supplied; this is not a current valuation or a funding round.
In a world rife with complexity, we help our customers cut through uncertainty, plan strategically, and execute confidently. We work with them to strategize and operationalize Data and AI-led transformation programs that deliver real value at scale. Our deep understanding of business value chains, agile operating models, platforms approach, and strategic hyperscaler partnerships allow us to engineer cutting-edge…
| Field | Value |
|---|---|
| Industry | Business Consulting and Services |
| Company size | 5,001-10,000 employees |
| Headquarters | Santa Clara, CA |
| Organization type | Privately Held |
| Year founded | 2011 |
| Specialties | Machine LearningPredictive AnalyticsForecastingNatural Language ProcessingComputer VisionCloud Data Platform EngineeringData-as-a-serviceLean Data GovernanceModern BI & Data WarehousingAI/ML Ops |
| Open jobs on Jobsy | 81 |
| View page |
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.
Journal
Only you can see this. Kept on this device, and in your account when you sign in.