Product Manager driving vision, strategy, and execution of data analytics and insurance technology products. Collaborating with teams to build innovative solutions for Canada's insurance industry.
Responsibilities
Define and communicate the product vision and roadmap aligned with executive strategic objectives
Translate business needs and market opportunities into actionable product requirements
Prioritize features and capabilities based on business value, customer needs, and technical feasibility
Own the product backlog and ensure alignment with company goals and customer outcomes
Lead Agile/Scrum ceremonies including sprint planning, backlog grooming, and retrospectives
Work closely with Scrum Masters and development teams to ensure efficient sprint execution
Define user stories, acceptance criteria, and product specifications with Business Analysts
Maintain product roadmaps and communicate progress to stakeholders across the SDLC
Partner with Business Analysts to gather requirements and translate them into technical specifications
Collaborate with Software Developers, Data Engineers, and Architects to ensure technical feasibility
Work with QA teams to define test strategies and acceptance criteria
Engage with Sales, Client Success, and Marketing teams to ensure market fit and customer satisfaction
Understand microservices architecture, APIs (REST), and cloud-based solutions (AWS)
Collaborate on data pipeline design, including AWS Glue jobs and MongoDB implementations
Evaluate technical trade-offs and dependencies in API design and service orchestration
Work with authentication/authorization systems (e.g., Keycloak) and data models (UML-based)
Requirements
5+ years of product management experience, preferably in SaaS, data analytics, or insurance technology
Proven track record of delivering complex technical products from concept to launch
Experience working in Agile/Scrum environments with distributed development teams
Demonstrated ability to manage product backlogs and drive sprint execution
Strong understanding of the Software Development Life Cycle (SDLC)
Experience with Agile frameworks (Scrum, Kanban) and tools (Jira, Confluence)
Familiarity with API architecture, microservices, and cloud platforms (AWS preferred)
Ability to read technical documentation and engage in technical discussions with engineering teams
Understanding of data pipelines, databases (MongoDB, SQL), and ETL processes
Experience in insurance, risk assessment, or data analytics industries (preferred)
Understanding of property insurance, underwriting, or claims processes (asset)
Knowledge of geospatial data, risk modeling, or predictive analytics (nice to have)
Excellent communication skills with ability to influence cross-functional teams
Strong analytical and problem-solving capabilities
Ability to balance competing priorities and make data-driven decisions
Leadership presence and ability to drive consensus among diverse stakeholders
Customer-focused mindset with empathy for end-user needs.
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