Group Technical Product OwnerRitchie Bros. • Burnaby, British Columbia, Canada
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Group Technical Product Owner
Ritchie Bros.
- Burnaby, British Columbia, Canada
- Burnaby, British Columbia, Canada
À propos
RB Global (NYSE: RBA)
RB Global (NYSE: RBA) (TSX: RBA) is a leading, omnichannel marketplace that provides value-added insights, services and transaction solutions for buyers and sellers of commercial assets and vehicles worldwide. Through its auction sites in 13 countries and digital platform, RB Global serves customers in more than 170 countries across a variety of asset classes, including automotive, commercial transportation, construction, government surplus, lifting and material handling, energy, mining and agriculture.
The company's marketplace brands include Ritchie Bros., the world's largest auctioneer of commercial assets and vehicles offering online bidding, and IAA, a leading global digital marketplace connecting vehicle buyers and sellers. RB Global's portfolio of brands also includes Rouse Services, which provides a complete end-to-end asset management, data-driven intelligence and performance benchmarking system; SmartEquip, an innovative technology platform that supports customers' management of the equipment lifecycle and integrates parts procurement with both OEMs and dealers; Xcira, a leader in live simulcast auction technologies; and Veritread, an online marketplace for heavy haul transport.
Job Description
About the Role
We are seeking a Group Technical Product Owner to lead a portfolio of enterprise data products that power analytics, operational reporting, financial insights, customer intelligence, and AI/ML use cases across the organization.
This role sits at the intersection of Product, Data Engineering, and the Business. You will own data product roadmaps, define governed data models, and ensure our modern data platform delivers measurable business outcomes — not just dashboards.
You will operate at a portfolio level, driving reusable, scalable data products across domains such as:
Financial & revenue reporting
Sales & customer performance
Asset & transactional data
Behavioral / clickstream data
Operational metrics
This is a strategic role focused on building trusted, AI-ready, enterprise data foundations.
What You'll Do
Own Data Product Strategy & Roadmaps
Define and manage roadmaps for a portfolio of enterprise data products
Translate business problems into scalable, reusable data models
Ruthlessly prioritize based on business value, architectural integrity, and long-term platform health
Drive alignment across Product, Engineering, Analytics, and Business leaders
Lead Technical Data Product Execution
Partner with Data Engineering to design governed data models, pipelines, and semantic layers
Own backlog refinement and acceptance criteria for data product increments
Ensure consistent metric definitions, lineage, and data quality standards
Balance short-term reporting needs with long-term scalability
Establish Governance & 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
Enable AI & 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
What You Bring
Data & Platform Expertise
5 + years in Technical Product Ownership, Data Product Management, or similar roles
Experience with modern cloud data platforms (e.g., Snowflake, BigQuery, Redshift, Azure Synapse)
Strong understanding of dimensional modeling, domain modeling, and metric governance
Experience working with BI and semantic layer tools (e.g., Looker, Tableau, Power BI, dbt)
Product & Business Mindset
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
Leadership
Experience mentoring junior product owners or analysts
Strong communicator able to explain trade-offs between speed, quality, and scalability
Ability to influence without formal authority
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
What Success Looks Like
Within 12 months, you will have:
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
Compétences linguistiques
- English
Avis aux utilisateurs
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