5+ years in Technical Product Ownership or Data Product Management
Experience with cloud data platforms like Snowflake or BigQuery
Strong understanding of dimensional and domain modeling
Familiarity with BI tools such as Looker or Tableau
Proven ability to prioritize based on business impact
Experience mentoring junior team members
Responsibilities
Own data product strategy and roadmaps
Translate business problems into scalable data models
Drive alignment across Product, Engineering, and Business leaders
Partner with Data Engineering to design governed data models
Establish governance and self-serve analytics guardrails
Ensure data products support AI and advanced use cases
Promote an AI-ready data ecosystem through strong governance
Benefits
Opportunity to lead a strategic portfolio of enterprise data products
Work at the intersection of Product, Data Engineering, and Business
Drive measurable business outcomes beyond just dashboards
Engage in a role focused on building trusted, AI-ready data foundations
Collaborate with cross-functional teams to enhance data quality and governance
Full Job Description
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.
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.
About Ritchie Bros Auctioneers Incorporated
Ritchie Bros. Auctioneers is an industrial auctioneer. The company sells a wide range of used and unused equipment, including trucks, tractors, and construction equipment. Ritchie Bros. operates in over 25 countries and has over 110 locations worldwide. The company was founded in 1958 and is headquartered in Burnaby, British Columbia, Canada.
