Senior Product Manager, ETF Analytic and Data Solutions

Venture outside the ordinary - TMX Careers

The TMX group of companies includes leading global exchanges such as the Toronto Stock Exchange, Montreal Exchange, and numerous innovative organizations enhancing capital markets. United as a global team, we’re connecting cross-functionally, traversing industries and geographies, moving opportunity into action, advancing global economic growth, and propelling progress. Through a rich exchange of ideas, meaningful collaboration, and a nimble operating model, we're powering some of the nation's most critical systems, fueling capital formation and innovation, bringing increased opportunity to business visionaries, product ingenuity to consumers, and career exploration to our team.

Ready to be part of the action?

We are seeking a Senior Product Manager, ETF Analytic and Data Solutions with extensive expertise in the Canadian ETF landscape to lead the strategic evolution of our exchange-traded products. This is a high-impact role requiring a blend of deep domain knowledge, commercial growth strategy, and a proven track record of managing complex financial products. You will be the primary architect of our ETF data product roadmap, ensuring our marketplace remains the premier destination for institutional investors.

This role requires a highly developed level of professional, technical, and market microstructure knowledge combined with the ability to influence and negotiate across senior stakeholder groups.

• Product Strategy &
  
  Roadmap:

  • Lead the long-term roadmap for ETF analytics, focusing on liquidity metrics, basket composition data, and integration specifically for the Canadian market.

  • Exercise autonomy to make critical decisions directly impacting the ETF analytics portfolio and resolve complex issues within the business unit. Advise senior leadership on broader marketplace data strategies.

• Product Lifecycle Management:
  Manage the end-to-end product lifecycle, from initial concept and regulatory filing to launch and post-trade analysis. Design product pricing, packaging, and distribution strategies for global redistributors and institutional clients. Identify "white space" opportunities in the market data ecosystem. Translate high-level business goals into short-term tactical execution strategies (up to a 1-year decision-making horizon) to successfully deliver complex project milestone outcomes.

• Client Engagement:
  Lead deep-dive discovery sessions with clients to translate complex data pain points into high-value product features.

• Functional & Peer Guidance:
  While operating primarily as an individual contributor, provide strong project, technical, and functional guidance across the immediate division. May plan, assign, and direct the project workflows of collaborative, cross-functional team members.

• Stakeholder Negotiation and Influence:
  Partner closely with Legal, Compliance, Technology, and Sales teams to navigate the Canadian regulatory environment (CIRO). Utilize deep expertise and negotiation skills to align diverse internal and external stakeholders on product policies and platform standards.

• Experience:
  
  Minimum of 10 years of professional experience in Product Management, Portfolio Management, Quantitative Analysis or Strategy within the financial services industry.

• Domain Expertise:
  Deep understanding of the Canadian ETF ecosystem, including creation/redemption mechanics, tax structures, and listing requirements. Strong understanding of the Investment Management value chain and how advisors consume portfolio analytics.

• Client Exposure:
  Proven experience engaging with institutional investors in Canada.

• Growth Mindset:
  Demonstrated ability to scale financial products or platforms through strategic positioning and partnership.

• Education:
  
  University degree in Business Management, Finance, Data Science, Mathematics, or a related quantitative field

• Advanced proficiency in SQL (Snowflake preferred) and Python (Pandas, Num Py) for rapid data prototyping.
• Experience with Business Intelligence tools (Tableau, Looker, or Amazon Quicksight) to turn "stale data" into actionable dashboards.
• Familiarity with modern…