Director, Data Trust & Quality Lead
Listed on 2026-03-06
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IT/Tech
Data Analyst, Data Engineer
We’re looking for bold, entrepreneurial talent ready to help build something extraordinary — and reshape the future of building products distribution.
QXO is a publicly traded company founded by Brad Jacobs with the goal of building the market‑leading company in the building products distribution industry. On April 30, 2025, QXO completed its first acquisition:
Beacon Building Products, a leading distributor in the sector.
We are building a customer‑focused, tech‑enabled, and innovation‑driven business that will scale rapidly through accretive M&A, organic growth, and greenfield expansion. Our strategy is rooted in delivering exceptional customer experiences, improving operational efficiency, and leveraging data, digital tools, and AI to modernize a historically under‑digitized industry.
What you’ll do:The Director of Data Trust & Quality will define the standards through which QXO ensures confidence in its data. This role is responsible for establishing enterprise‑wide frameworks for data accuracy, lineage, and accountability, enabling leadership to rely on trusted data for operational decisions, financial reporting, and analytical initiatives. It is a build‑oriented leadership role that embeds trust into data products, platforms, and business processes through engineering rigor and operating discipline.
This leader will drive the adoption of data certification, quality remediation processes, and trust metrics while influencing data culture across business and technology teams. They will oversee quality investigations, lead cross‑functional forums, and ensure QXO’s data assets withstand scrutiny from regulatory, financial, and operational stakeholders.
Key Responsibilities- Design and implement QXO’s data trust and quality framework, defining criteria for accuracy, completeness, timeliness, lineage, and accountability.
- Author and maintain enterprise data standards, certification criteria, and quality controls to ensure they are embedded within engineering and analytical workflows.
- Establish automated quality checks, anomaly detection, and lineage visibility within ingestion and transformation pipelines.
- Lead root cause analysis and remediation initiatives for systemic data quality issues, driving long‑term resolution across domains.
- Define and enforce data contracts and SLAs between data producers and consumers, ensuring accountability for data integrity.
- Introduce trust scorecards, dashboards, and transparency mechanisms that inform executive decision‑making and operational governance.
- Collaborate with data platform, analytics, and business stakeholders to integrate quality standards into data product and platform delivery life cycles.
- Guide data owners on data reliability risks related to financial reporting, operational metrics, and regulatory expectations, including SOX.
- Lead cross‑functional data governance forums to align priorities, resolve escalations, and formalize shared responsibility for data trust.
- Promote data literacy, documentation discipline, and ownership culture across engineering and business teams.
- 8+ years of experience in data quality, data governance, data engineering, or enterprise data architecture.
- Demonstrated success implementing data quality frameworks or trust programs at scale in a modern cloud environment (GCP, AWS, or similar).
- Strong technical understanding of data pipelines, metadata management, lineage tools, and observability platforms.
- Proven ability to influence senior stakeholders and drive cross‑functional initiatives.
- Ability to simplify complex data issues and establish clear accountability models.
- 5+ years of experience with financial data controls and regulatory obligations, including familiarity with SOX compliance and data privacy standards (e.g., GDPR, CCPA), and the ability to translate these requirements into operational data practices.
- Exposure to AI/ML trust considerations, such as bias detection, ethical use, and model data integrity.
- Prior leadership in a product‑centric or federated data organization (e.g., data mesh, domain data ownership).
- Base pay range: $172,100 - $266,800
- Annual performance bonus
- Long‑term incentive (equity/stock)
- 401(k) with employer match
- Medical, dental, and vision insurance
- PTO, company holidays, and parental leave
- Paid Time Off/Paid Sick Leave:
Applicants can expect to accrue 15 days of paid time off during their first year (4.62 hours for every 80 hours worked) and increased accruals after five years of service. - Paid training and certifications
- Legal assistance and identity protection
- Pet insurance
- Employee assistance program (EAP)
QXO is an Equal Opportunity Employer. We value diversity and do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, or any other protected status.
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