The Role
Own the strategy, roadmaps, governance, and execution of enterprise data products. Partner with engineering, analytics, product, and business leaders to develop scalable data models, semantic layers, pipelines, metric definitions, and data quality standards. Prioritize investments by business value and platform health, enable self-service analytics, reduce reporting fragmentation, and create AI-ready data foundations. Mentor junior product owners or analysts and influence stakeholders without formal authority.
Summary Generated by Built In
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.
Skills Required
- 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 BI 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
- Strong stakeholder management across technical and business audiences
- Comfort navigating ambiguity and driving clarity
- Experience mentoring junior product owners or analysts
- Strong communication and ability to influence without formal authority
RB Global Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about RB Global and has not been reviewed or approved by RB Global.
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Retirement Support — Retirement plans with employer matching are highlighted in multiple postings, supporting long‑term savings for U.S. employees. Plan details are positioned as a core component of the total package and are frequently called out alongside other key benefits.
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Equity Value & Accessibility — An Employee Stock Purchase Plan is emphasized, including accessible design features such as cashless participation and look‑back/discount mechanics. Participation is portrayed as broad and a meaningful part of total rewards across regions.
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Leave & Time Off Breadth — Paid time off and company holidays are consistently described as part of the standard offering. Time away benefits are frequently praised as a strength that enhances overall compensation value.
RB Global Insights
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The Company
What We Do
RB Global, Inc. (NYSE: RBA) (TSX: RBA) is a leading, omnichannel marketplace and trusted provider of value-added insights, services and transaction solutions for buyers and sellers of commercial assets and vehicles worldwide. Through its global network of auction sites and digital platform, RB Global serves customers worldwide across a variety of asset classes, including automotive, construction, commercial transportation, government surplus, lifting and material handling, energy, mining and agriculture. The company’s end-to-end marketplace solutions include Ritchie Bros., IAA, Rouse Services, SmartEquip and VeriTread. For more information about RB Global, visit rbglobal.com.
