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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