Group Technical Product Owner
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