Ritchie Bros.

Asset management and heavy equipment auctions

Group Technical Product Owner

Technical Product ManagementConfirmed live in the last 24 hours

Full-timeUnited States$112.7k - $140.8kIn-person

About the Job

Requirements

At least 5 years of experience in Technical Product Ownership, Data Product Management, or similar roles.
Experience with modern cloud data platforms such as Snowflake, BigQuery, Redshift, or Azure Synapse.
Strong understanding of dimensional modeling, domain modeling, and metric governance.
Experience working with business intelligence and semantic layer tools such as Looker, Tableau, Power BI, or dbt.
Experience owning roadmaps and prioritizing based on measurable business impact.
Ability to frame problems clearly and define value hypotheses.
Experience managing stakeholders across technical and business audiences.
Experience mentoring junior product owners or analysts.

Responsibilities

Own and manage roadmaps for a portfolio of enterprise data products.
Translate business problems into scalable, reusable data models.
Prioritize based on business value, architectural integrity, and long-term platform health.
Drive alignment across Product, Engineering, Analytics, and business leaders.
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.
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.
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.

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.

Minimum Salary: $112,680

Maximum Salary: $140,800

About the Company

Ritchie Bros.

Asset management and heavy equipment auctions

Ritchie Bros. Auctioneers connects buyers and sellers of heavy machinery, trucks, and other assets through auctions and asset-management services. Its core products are live and online auctions plus disposition and asset-management solutions that help sellers convert surplus equipment into cash and help buyers find and bid on used equipment. The auction process works by listing assets for sale in catalogs and conducting bidding—historically unreserved auctions and now increasingly online platforms—so buyers can bid from anywhere and sellers can reach a global audience. The company differentiates itself with a long history of transparency and integrity, a global footprint across more than 20 countries, and a shift toward online auctions that expands access and efficiency for both sides of the market. The goal is to provide a trusted, scalable marketplace that maximizes recovery for asset owners while delivering broad, convenient access to buyers worldwide.

Company size: 1,001-5,000
Company stage: IPO
Headquarters: Westchester, IL
Founded: 1958

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