Data Product Owner Canada Remote

Toronto - Canada

Monthly Salary: Not Disclosed

Posted on: 4 days ago

Vacancies: 1 Vacancy

Job Summary

Job Title: Data Product Owner

Location: Remote

Role Overview

We are seeking an experienced Enterprise Data Product Owner to lead the delivery of a modern enterprise data platform. This role will own the end-to-end execution of a new data lake built on Snowflake or Databricks partnering closely with engineering architecture infrastructure and analytics teams to deliver scalable high-impact data solutions.

Key Responsibilities

Own and drive the delivery of an enterprise data lake from initial architecture and setup through full production rollout.
Translate business analytics and data requirements into clear well-defined technical user stories sprint plans and acceptance criteria.
Define and oversee data ingestion and integration pipelines from core SaaS platforms and supporting enterprise systems.
Collaborate closely with data engineers and data architects to design efficient data models storage layers and performance optimization strategies.
Manage the end-to-end product development lifecycle ensuring delivery milestones dependencies and timelines are met.
Lead backlog prioritization based on business value technical feasibility risk and cross-functional dependencies.
Develop and maintain a detailed execution roadmap supporting phased delivery MVP launches and incremental enhancements.
Partner with Infrastructure and DevOps teams to establish scalable secure and cost-effective cloud-based data environments.
Define monitor and report on operational KPIs including data pipeline reliability processing latency data freshness and platform uptime.
Ensure operational readiness including documentation knowledge transfer and smooth handoffs to analytics reporting and data science teams.
Act as the primary point of accountability for data platform delivery alignment and ongoing optimization.

Key Skills & Experience

Strong experience as a Product Owner or Product Manager in data analytics or platform-focused initiatives.
Hands-on exposure to modern data platforms such as Snowflake Databricks or similar cloud-based data ecosystems.
Solid understanding of data engineering concepts including ETL/ELT pipelines data modeling and cloud data architectures.
Experience working in Agile/Scrum environments managing backlogs sprints and stakeholder expectations.
Ability to bridge business needs and technical execution with clear communication and structured delivery.
Strong stakeholder management and cross-functional collaboration skills.

Job Title: Data Product Owner Location: Remote Role Overview We are seeking an experienced Enterprise Data Product Owner to lead the delivery of a modern enterprise data platform. This role will own the end-to-end execution of a new data lake built on Snowflake or Databricks partnering closely with...

Job Title: Data Product Owner

Location: Remote

Role Overview

Key Responsibilities

Own and drive the delivery of an enterprise data lake from initial architecture and setup through full production rollout.
Translate business analytics and data requirements into clear well-defined technical user stories sprint plans and acceptance criteria.
Define and oversee data ingestion and integration pipelines from core SaaS platforms and supporting enterprise systems.
Collaborate closely with data engineers and data architects to design efficient data models storage layers and performance optimization strategies.
Manage the end-to-end product development lifecycle ensuring delivery milestones dependencies and timelines are met.
Lead backlog prioritization based on business value technical feasibility risk and cross-functional dependencies.
Develop and maintain a detailed execution roadmap supporting phased delivery MVP launches and incremental enhancements.
Partner with Infrastructure and DevOps teams to establish scalable secure and cost-effective cloud-based data environments.
Define monitor and report on operational KPIs including data pipeline reliability processing latency data freshness and platform uptime.
Ensure operational readiness including documentation knowledge transfer and smooth handoffs to analytics reporting and data science teams.
Act as the primary point of accountability for data platform delivery alignment and ongoing optimization.

Key Skills & Experience

Strong experience as a Product Owner or Product Manager in data analytics or platform-focused initiatives.
Hands-on exposure to modern data platforms such as Snowflake Databricks or similar cloud-based data ecosystems.
Solid understanding of data engineering concepts including ETL/ELT pipelines data modeling and cloud data architectures.
Experience working in Agile/Scrum environments managing backlogs sprints and stakeholder expectations.
Ability to bridge business needs and technical execution with clear communication and structured delivery.
Strong stakeholder management and cross-functional collaboration skills.