Develop and communicate a clear vision and strategy for the data platform, aligning with overall business objectives
Define product goals, KPIs, and metrics to measure success and drive continuous improvement
Create and maintain a detailed product roadmap, prioritizing features and improvements based on business value, user needs, and technical feasibility
Manage the product lifecycle from concept through development, launch, and ongoing enhancements
Validate features through testing and user feedback, and iterate based on findings
Amplify the impact of other teams by empowering them with the right data to truly personalize the product experience
Ensure the platform supports robust data governance, security, and compliance requirements
Collaborate with data engineers and architecture to optimize data integration, quality, and accessibility
Engage with stakeholders across the organization to gather requirements, provide updates, and gain alignment on priorities
Requirements
Education: Bachelor’s degree in Computer Science, Data Science, Engineering, or a technical field
Experience: 3+ years of experience in product management, with a focus on data platforms and scalable solutions. Experience in developing data-driven platforms for personalized experiences across various channels and managing large-scale data workflows is a must
Experience in building systems that orchestrate and execute complex data workflows is a must
Agile & Experimental Mindset: Embraces a truly agile dev environment, building products in small experimental iterations to validate ideas and deliver value as quickly as possible, measuring its performance and using the results to inform next steps
Data & Analytical Prowess: Highly curious and analytical mindset. Proficiency in data analysis and visualization tools (e.g., SQL, Python, Tableau) is a must
Technical Skills: Familiarity and experience with application development is a must
Can discuss technical concepts with ease, identify trade-offs in different approaches, and uncover new opportunities to create customer value in close collaboration with engineers and architects
Understanding of data architecture, ETL processes, data warehousing, and analytics tools is preferred
Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) is a plus
Complex Problem Solving Skills: Experience managing large, complex technical problems with many dependencies by breaking big problems into many smaller, prioritized problems
Communication Skills: Can persuade and galvanize others behind the product and vision, explain technical concepts to non-technical audiences, and guide with empathy to find clarity through ambiguous situations
Benefits
A noble mission that creates meaningful, fulfilling work
A team that cares deeply for customers and for each other
Flexible, remote first work environment
Professional learning and development for all role levels
An awesome and welcoming Toronto HQ
Competitive health benefits that start on day one
A management team focused on performance, growth, engagement and connection
Our winning strategy and market potential
Innovative PTO policy with lots of time and space for self-care
Passionate customers that believe in us—and what we do
A chance to work with new tech like generative AI—and see the customer impact
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data platform developmentproduct managementdata analysisdata visualizationSQLPythonETL processesdata warehousingapplication developmentagile methodologies
Soft skills
communication skillsproblem solvinganalytical mindsetcollaborationempowermentstakeholder engagementstrategic thinkinguser feedback validationiterative developmentpersuasion