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About the role
- Data Quality Manager leading initiatives to implement an AI-powered framework for data quality at Trimble. Focusing on operational excellence across different business functions and products.
Responsibilities
- Lead the development and execution of Trimble-wide data quality initiatives.
- Focus on implementing an AI-powered data quality framework.
- Own the data quality strategy and manage vendor relationships.
- Partner with business units and product teams for operationalizing quality.
- Evaluate and implement emerging AI/ML-powered data quality and observability tools.
- Develop and enforce data quality SLAs and KPIs.
- Lead cross-functional remediation efforts and root cause analysis across multiple domains and systems.
- Stay ahead of data quality trends and regulatory requirements (e.g., GDPR, CCPA).
Requirements
- 6+ years in data governance, data quality, or information management, with at least 2 years in a leadership or team management capacity.
- Demonstrated experience delivering data quality initiatives within Sales, Marketing, or GTM systems (e.g., CRM, RevOps).
- Experience with AI/ML capabilities such as anomaly detection, fuzzy matching, and NLP-based classification in data quality use cases.
- Proven success leading build vs. buy decisions for data quality or observability platforms (e.g., Ataccama, Monte Carlo, Informatica, Talend).
- Hands-on knowledge of data catalog and MDM integrations, as well as common reporting tools (e.g.Power BI, Tableau).
- Strong SQL and/or Python skills to lead technical root cause analysis and enrichment workflows.
- Comfort operating in ambiguous, fast-paced, and matrixed organizations.
- Excellent communication, stakeholder influence, and coaching ability.
Benefits
- Medical
- Dental
- Vision
- Life
- Disability
- Time off plans
- Retirement plans
- Paid Parental Leave
- Employee Stock Purchase Plan
- Tax savings plans for health, dependent care and commuter expenses
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