About the company
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Principal Product Manager, Financial Data based in Canada.
This is a senior product leadership opportunity focused on bringing complex financial data products from concept through launch. You'll lead the integration of major new data capabilities into a sophisticated market intelligence platform used by enterprise professionals.
Responsibilities
- Lead the end-to-end product lifecycle for major financial data initiatives, from initial data analysis and discovery through launch and ongoing evolution.
- Establish product frameworks, user stories, milestones, roadmaps, and priorities while supporting product managers in developing detailed product requirements.
- Partner with internal experts in capital markets and investment research to understand user workflows, identify pain points, validate product hypotheses, and inform prioritization.
- Serve as a key bridge between complex financial workflows and technical execution, translating sophisticated analytical requirements into robust data architectures and product solutions.
- Collaborate with platform teams across web, Excel, AI, and other product areas to ensure financial data is delivered consistently and effectively across user experiences.
- Partner with senior leaders to coordinate resources, monitor milestones, report progress, and manage execution across two major product initiatives.
- Articulate core customer problems and work with engineering teams to evaluate solutions based on customer feedback, strategic priorities, market dynamics, and technical feasibility.
- Engage directly with customers to understand workflows and pain points, gathering and documenting actionable feedback that informs product decisions.
- Monitor industry developments, competitive offerings, and relevant financial data products to identify emerging opportunities and inform product and content strategy.
- Mentor and coach product managers in partnership with team leadership, supporting professional development, functional excellence, and high-performing product teams.
- Communicate complex concepts clearly and persuasively across product, engineering, research, and other cross-functional stakeholders to build alignment and drive execution.
Requirements
- 12+ years of product management experience, including several years in fintech, investment research, financial services, or a closely related industry.
- Demonstrated experience managing complex products involving multiple teams, dependencies, priorities, and technical considerations.
- Strong product judgment, with the ability to make difficult tradeoffs, sequence development effectively, and deliver value within demanding timelines.
- Strong understanding of financial data and user workflows related to areas such as investment research, quantitative analysis, M&A, or capital markets.
- Excellent communication, collaboration, facilitation, and stakeholder management skills, with the ability to build alignment across technical and non-technical teams.
- Exceptional attention to detail and a structured approach to managing complex initiatives.
- Experience using tools such as Notion and Linear.
- Comfort working with complex datasets and using SQL, LLMs, or similar tools to investigate data, audit quality, and translate technical findings into user value is an asset.
- Bachelor's degree in finance, accounting, business, or a related discipline is preferred; an MBA or CFA designation is an asset.
- Experience mentoring or coaching product managers and contributing to the development of strong product teams.
- Ability to combine customer research, market analysis, technical feasibility, and business priorities when shaping product strategy.
Conditions
- Base compensation range of $170,000–$200,000 CAD.
- Potential eligibility for a performance-based bonus.
- Equity opportunities.
- Comprehensive benefits program.
- Remote work opportunity within Canada.
- Opportunity to work on sophisticated financial data and AI-enabled products serving enterprise users.
- Collaborative, cross-functional environment spanning product, engineering, financial research, data, and AI disciplines.
- Equal opportunity workplace committed to an inclusive and respectful environment.
- Reasonable workplace accommodations available in accordance with applicable requirements.