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Job Description

The Group Technical Product Owner at RB Global will lead a portfolio of enterprise data products, responsible for data product roadmaps, governed data models, and delivery of measurable business outcomes across analytics and AI/ML use cases. This role works closely with Product, Data Engineering, Analytics, and business leaders to build scalable, trusted data foundations.

Data Product Strategy and Roadmaps

  • Own data product strategy and maintain roadmaps for a portfolio of enterprise data products.
  • Translate business problems into scalable and reusable data models.
  • Prioritize work based on business value, architectural integrity, and long-term platform health.
  • Drive cross-functional alignment among Product, Engineering, Analytics, and business stakeholders.

Technical Data Product Execution

  • Partner with Data Engineering to design governed data models, pipelines, and semantic layers.
  • Own backlog refinement and define acceptance criteria for data product increments.
  • Ensure consistent metric definitions, lineage, and data quality standards.
  • Balance short-term reporting requirements with long-term scalability considerations.

Governance and Self-Serve Guardrails

  • Drive adoption of a governed semantic layer as the source of truth for enterprise KPIs.
  • Reduce metric duplication and fragmented reporting logic.
  • Enable self-service analytics within structured guardrails.
  • Define and enforce data contracts and standards across domains.

AI and Advanced Use Cases

  • Ensure data products are structured to support personalization, predictive models, and AI/LLM initiatives.
  • Partner with analytics and data science teams to provide high-quality, reusable inputs.
  • Promote an AI-ready data ecosystem through strong modeling and governance practices.

Required Qualifications

  • 5+ years of experience in Technical Product Ownership, Data Product Management, or a similar role.
  • Experience with modern cloud data platforms, including Snowflake, BigQuery, Redshift, or Azure Synapse.
  • Strong understanding of dimensional modeling, domain modeling, and metric governance.
  • Experience with BI and semantic layer tools such as Looker, Tableau, Power BI, and dbt.
  • Experience owning roadmaps and prioritizing based on measurable business impact.
  • Ability to frame problems clearly and define value hypotheses.
  • Strong stakeholder management across technical and business audiences.
  • Comfort navigating ambiguity and driving clarity.
  • Experience mentoring junior product owners or analysts.
  • Strong communication skills to explain trade-offs between speed, quality, and scalability, and the ability to influence without formal authority.

Tools and Technologies

  • Snowflake, BigQuery, Redshift, Azure Synapse
  • Looker, Tableau, Power BI
  • dbt

Success in the First 12 Months

  • Established governed, reusable data products across key business domains.
  • Reduced metric duplication and inconsistent reporting.
  • Improved dashboard and reporting delivery velocity.
  • Enabled trusted self-service analytics.
  • Strengthened the foundation for AI and advanced analytics initiatives.

Role Details

  • Location: United States (onsite)
  • Salary: USD 112,680 - 140,800 per year
  • Minimum Experience: 5 years

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