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Senior Product Operations Manager (Business Analytics)

Okta · Toronto, Canada

External listingfull-time15 days ago

About The Role

Join Auth0, a leading identity platform that secures billions of logins every year. As a Senior Product Operations Manager, you will focus on data and analytics to turn raw data into meaningful business insights. You will work closely with the Product and Data & Analytics teams, establish metrics frameworks, and lead the development of roadmap presentations. This role requires a deep understanding of the business, strong analytical skills, and the ability to communicate insights effectively.

  • Transform raw product and business data into clear narratives that drive action, and build and maintain dashboards that tell a story.
  • Act as the bridge between Product Operations and the Data & Analytics team, translating business questions into data requirements and ensuring shared definitions and consistent standards.
  • Lead the development and delivery of roadmap presentations that connect data-driven insights to strategic decisions, collaborating cross-functionally to shape product direction.
  • 5+ years in Product Operations, Business Operations, or a data-focused analytical role within enterprise SaaS
  • Experience working across Product, Finance, or Go-To-Market teams where data was used to drive strategy
  • Proficiency with dashboarding and analytics tools such as Tableau, Dovetail, Pendo, Snowflake, or similar. Comfortable writing SQL or pulling data independently
  • Skilled at translating between technical data teams and non-technical business stakeholders
  • Proactive communicator
  • Strong ability to work with messy, incomplete, or ambiguous data and still draw meaningful, defensible conclusions
  • Exposure to data governance or analytics infrastructure design
  • Background in identity, security, or developer platforms
  • Demonstrated ability to utilize AI platforms to build automated processes, conduct rapid data analysis, and refine operational workflows to reduce manual overhead
  • Experience with AI-assisted analytics or automation in metrics building

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