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Establish and maintain data quality controls by implementing validation rules and rule enforcement to prevent invalid records and improve consistency between user groups. Enable and script integrations and automation using Fusion APIs for importing and extracting data to applications used by downstream consumers (explorationists, GIS specialists, resource modelers, structural and geotechnical modelers, orebody knowledge experts etc.) Provide support for Fusion GDMS modules and configurations (e.g., DHLogger, Administrator, report manager, etc.), including issue triage, root-cause analysis, and vendor escalation when required. Support reporting workflows and practical operational outputs using Fusion reporting/query capabilities & integrating Develop and maintain standards, documentation, and training materials for geological data entry, validation outcomes, and end-to-end data management practices. Work closely with Geology, Exploration, Resource Geology, Mine Planning, Lab/Assay teams, IT infrastructure, cybersecurity, and vendors to deliver scalable, supported solutions. Diploma or Degree in Geology, Geoscience, Computer Science, Data Management, 8+ years experience working with geological databases and operational geoscience data (drillholes, samples, assays) in exploration, mining, or similar industrial environments. Hands-on experience implementing or supporting Datamine Fusion (GDMS) or comparable GDMS platforms, including configuration, workflows, and user support. Experience applying data governance/QAQC practices (validation, auditing, traceability) to ensure trusted datasets and reliable reporting. Strong understanding of geological data structures and lifecycle including drilling/logging, sampling, dispatch, lab results, QA/QC, and controlled vocabularies/reference tables. Proficiency with relational database concepts and query practices (e.g., SQL fundamentals, data validation logic, troubleshooting data issues). Ability to configure and manage rule-based validation and audit practices to support data integrity and compliance outcomes. Familiarity with API-enabled integration patterns for importing/updating/extracting data in support of business workflows. Strong communication and stakeholder management skills; able to translate operational needs into implementable data workflows and standards. Experience supporting both field and corporate/central database workflows in multi-site operating environments. Experience with Fusion Administrator configuration, auditing features, and governance controls. Exposure to modern authentication/integration approaches used in enterprise environments Scripting/automation experience (e.g., Python) and concepts and BI/reporting integration experience. 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In This Role, You Will: Data Stewardship Serve as the primary data steward for assigned domains, ensuring consistent data definitions, standards, and quality Maintain data dictionaries, business glossaries, metadata, and domain standards Lead stewardship workflows including issue management, approvals, escalation, decision governance, and lifecycle oversight Define and monitor data quality rules, controls, and KPIs; identify root causes and coordinate remediation workflows with business and technical teams Promote data ownership and accountability across the business Implement and operationalize data governance frameworks, standards, stewardship models, and critical data element controls across assigned domains Bachelor's degree in computer science, Data Science, Software Engineering, or a related field Certification in Data Management (e.g., DAMA) - preferred Cloud or data governance certifications (e.g., Azure, catalog tools) - preferred 8+ years of experience in data governance, 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