Specialist, Data Custodian

Your NewpanyOur client is a global miningpany dedicated to safely producing nickel, copper, cobalt, and platinum group metals—critical resources powering the world’s energy transition.With a mission to improve lives and shape a better future together, Vale Base Metals plays a vital role in modern life. Their metals are found in everyday technologies, life‑saving medical equipment, and electric vehicles advancing climate‑change solutions.With more than 15,000 employees worldwide, the organization operates across Canada, Brazil, Indonesia, the United Kingdom, and Japan. They aremitted to transforming critical minerals into long‑term prosperity and sustainable development—making this an opportunity to contribute to work that truly matters.Your New RoleYou are a detail-oriented data professional with strong expertise in dataernance, stewardship, metadata management, andernance implementation.You thrive inplex environments and are passionate about making data accessible, reliable, and actionable. You bring strong collaboration andmunication skills, with the ability to translate business needs andernance requirements into policies, standards, workflows, tool configurations, and practical implementation oues.You enjoy working cross-functionally and are motivated to establish stewardship accountability, improveernance operating models, and drive adoption ofernance best practices across the organization.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, decisionernance, 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 dataernance frameworks, standards, stewardship models, and critical data element controls across assigned domains

Data Catalogue & Metadata Management

• Implement, configure, and manage enterprise data catalogue platforms (e.g., Purview, Collibra, Informatica EDC)
• Build and maintain business, technical, and operational metadata, business glossaries, metadata models, and stewardship workflows
• Enable data lineage, classification, and discoverability across systems
• Automate metadata ingestion, classification, tagging, andernance workflow enablement where appropriate
• Ensure catalogue accuracy,pleteness, and usability
• Operationalize dataernance, privacy, classification, retention, and regulatory requirements through standards, controls, and stewardship processes
• Maintain audit trails, lineage, andernance documentation
• Supporternance councils, stewardship forums, issue triage, and escalation processes to sustain theernance operating model.
• Monitor metadatapleteness, catalogue adoption, and data quality metrics

Data Integration & Architecture

• Integrate catalogue and stewardship tools with enterprise platforms, source systems, data lakes, data warehouses, and APIs
• Support cloud-based environments such as Azure
• Support master data management (MDM), reference dataernance, and critical data element management across priority domains
• Ensure secure anderned data movement across platforms

Reporting & Analytics Support

• Enable trusted, well-documented data for analytics, reporting, and AI use cases
• Ensure datasets include lineage, quality indicators, and business context
• Guide teams on best practices for usingerned data

Stakeholder Collaboration

• Partner with dataernance teams, architects, and business SMEs
• Translate business andernance requirements into policies, standards, metadata models, stewardship workflows, controls, and tool configurations

Change Management & Training

• Create documentation, training materials, and knowledge-sharing sessions
• Support enterprise adoption of dataernance processes, stewardship practices, and catalogue tools
• Promote data literacy and best practices across the organization

Education & Certifications:

• Bachelor’s degree inputer science, Data Science, Software Engineering, or a related field
• Certification in Data Management (e.g., DAMA) – preferred
• Cloud or dataernance certifications (e.g., Azure, catalogue tools) – preferred

Experience:

• 8+ years of experience in dataernance, data stewardship, or metadata management
• Experience implementing dataernance frameworks, data catalogue solutions, stewardship workflows, and metadata management capabilities
• Experience working with enterprise platforms, cloud environments, data quality controls, MDM/reference dataernance, andernance operating models
• Experience translating data policies, standards, and business rules into practical processes, controls, and tool-enabled implementation oues
• Strong cross-functional collaboration experience

Skills:

• Strong expertise in dataernance, stewardship, and metadata management
• Experience with tools such as Azure Purview, Informatica EDC, Collibra, or similar
• Proficiency in SQL and Python for data profiling and automation
• Knowledge of ETL/ELT tools and Azure data services
• Must-have: strong data modeling skills, including conceptual, logical, and physical data modelling
• Knowledge of enterprise and cloud data architecture patterns, including data lakes, warehouses, integration pipelines, and API-based data exchange
• Experience implementing and operationalising dataernance frameworks, policies, standards, controls, and stewardship operating models
• Hands-on experience defining data quality rules, controls, validation checks, issue management, and remediation workflows
• Strong knowledge of master data management (MDM), reference dataernance, and critical data element management
• Ability to translateernance requirements into metadata models, business glossaries, stewardship workflows, classifications, lineage onboarding, and tool configuration
• Understanding of data lineage, classification, and cataloguing practices
• Strong analytical, problem-solving, andmunication skills
• Ability to manage multiple priorities in a dynamic environment

What We Offer You

• Participation in apetitive Defined Contribution Pension package
• Leave for all of life’s reasons (vacation, personal, sick, parental)
• Work culture dedicated to safety, diversity & inclusion, and career growth
• Employee Family Assistance Program
• Virtual Healthcare online
• Online Training and career development opportunities

Interested?Let's Talk! Email rupal.pandey@hays or call 801-349-1315 to learn more. Know someone perfect for this role? Please share this opportunity!

If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.

#1125113 - Quinn Johnson