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In This Role, You Will: Data Quality & Development Design, build, and maintain data quality pipelines for profiling, validation, cleansing, enrichment, and monitoring Independently define, configure, deploy, test, and operationalize enterprise data quality rules, thresholds, scorecards, and controls Develop exception handling, remediation workflows, root-cause analysis processes, and issue management mechanisms to improve data quality outcomes Automate data quality checks to improve reliability, reduce manual effort, and support production operations Optimize performance, scalability, resiliency, and fault tolerance of data quality solutions Bachelor's degree in computer science, Data Science, Software Engineering, or a related field Certification in Data Management (e.g., DAMA) - preferred Cloud certifications (Azure) and data engineering certifications - preferred 8+ years of experience in data development, data quality, data governance, or data management Strong experience designing, configuring, and implementing enterprise data quality and MDM solutions from requirements through production support Experience implementing data cataloging, metadata management, glossary, lineage, and stewardship workflows in enterprise environments Experience working with privacy, data protection, and security controls for sensitive data, including masking, tokenization, and access management Proven ability to operate as a senior hands-on individual contributor, independently driving technical design and implementation with minimal supervision Strong experience collaborating with cross-functional teams including architects, governance leads, stewards, analysts, and business stakeholders Strong knowledge of enterprise Data Quality, MDM, data governance, data cataloging, and data stewardship practices Proven ability to define, configure, deploy, and operationalize data quality rules, controls, scorecards, and remediation workflows Experience with data catalog and metadata management capabilities including glossary, lineage, classification, and tagging Strong understanding of data governance frameworks, ownership models, critical data elements, and control monitoring Knowledge of data privacy and security techniques including tokenization, detokenization, masking, encryption, and access controls Proficiency in SQL, Python, and ETL/ELT tools Experience with Informatica (IDQ, MDM) and Azure Data Services; familiarity with catalog/governance tools such as Purview, Collibra, Atlan, or Informatica EDC is an asset Data modeling, integration, APIs, DevOps, and metadata/lineage expertise Strong analytical, problem-solving, communication, and stakeholder engagement skills Ability to manage multiple priorities in dynamic environments while working independently and driving outcomes end to end Design and implement MDM domain models, canonical data models, hierarchies, reference data structures, match/merge rules, and survivorship logic Develop ingestion, validation, stewardship, and publication pipelines to support trusted master data across systems Establish data standards, crosswalks, deduplication strategies, and data quality controls aligned to governance requirements for critical master data domains Support issue resolution, survivorship tuning, hierarchy maintenance, and ongoing operational support for enterprise MDM solutions Build integrations between DQ/MDM/catalog platforms and enterprise systems, APIs, data lakes, and cloud data platforms Implement and support data cataloging capabilities including metadata harvesting, lineage integration, glossary curation, classification, and tagging Support cloud-based data environments (e.g., Azure) and ensure secure, compliant, and governed data movement across platforms Apply data security techniques such as tokenization, detokenization, masking, encryption, and access controls for sensitive and regulated data Implement and enforce data governance policies, standards, controls, and operating model requirements across critical data domains Apply data privacy principles and regulatory requirements by supporting sensitive data identification, classification, retention, minimization, and compliant handling practices Monitor data quality KPIs, issue trends, and control effectiveness, and implement alerting and remediation mechanisms Maintain metadata, lineage, audit trails, governance artifacts, and compliance documentation to support transparency and traceability Deliver trusted datasets for reporting, analytics, and AI use cases Ensure data integrity across dashboards and reporting environments Support adoption of DQ/MDM tools and processes across the organization", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://vale.eightfold.ai/careers/job/42183261", "isPrivate": false}, {"id": 42183277, "name": "Specialist, Data Custodian ", "posting_name": "Specialist, Data Custodian ", "location": "Toronto, ON, Canada", "locations": ["Toronto, ON, Canada"], "hot": 0, "department": null, "business_unit": "Unknown", "t_update": 1786375517, "t_create": 1780358021, "ats_job_id": 42183277, "display_job_id": 42183277, "type": "ATS", "id_locale": "42183277-en", "job_description": "You are a detail-oriented data professional with strong expertise in data governance, stewardship, metadata management, and governance implementation. You thrive in complex environments and are passionate about making data accessible, reliable, and actionable. You bring strong collaboration and communication skills, with the ability to translate business needs and governance requirements into policies, standards, workflows, tool configurations, and practical implementation outcomes. You enjoy working cross-functionally and are motivated to establish stewardship accountability, improve governance operating models, and drive adoption of governance 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, 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, data stewardship, or metadata management Experience implementing data governance frameworks, data catalog solutions, stewardship workflows, and metadata management capabilities Experience working with enterprise platforms, cloud environments, data quality controls, MDM/reference data governance, and governance operating models Experience translating data policies, standards, and business rules into practical processes, controls, and tool-enabled implementation outcomes Strong cross-functional collaboration experience Strong expertise in data governance, 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 operationalizing data governance 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 data governance, and critical data element management Ability to translate governance requirements into metadata models, business glossaries, stewardship workflows, classifications, lineage onboarding, and tool configuration Understanding of data lineage, classification, and cataloging practices Strong analytical, problem-solving, and communication skills Ability to manage multiple priorities in a dynamic environment Implement, configure, and manage enterprise data catalog 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, and governance workflow enablement where appropriate Ensure catalog accuracy, completeness, and usability Operationalize data governance, privacy, classification, retention, and regulatory requirements through standards, controls, and stewardship processes Maintain audit trails, lineage, and governance documentation Support governance councils, stewardship forums, issue triage, and escalation processes to sustain the governance operating model Monitor metadata completeness, catalog adoption, and data quality metrics Support cloud-based environments such as Azure Support master data management (MDM), reference data governance, and critical data element management across priority domains Ensure secure and governed data movement across platforms 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 using governed data Support enterprise adoption of data governance processes, stewardship practices, and catalog tools", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://vale.eightfold.ai/careers/job/42183277", "isPrivate": false}, {"id": 41520556, "name": "Manager, IT Planning & Business Partnership \u2013 Exploration, Mining, Geotech, Processing & R&D", "posting_name": "Manager, IT Planning & Business Partnership \u2013 Exploration, Mining, Geotech, Processing & R&D", "location": "Toronto, ON, Canada", "locations": ["Toronto, ON, Canada"], "hot": 0, "department": null, "business_unit": "Unknown", "t_update": 1786375667, "t_create": 1776436601, "ats_job_id": 41520556, "display_job_id": 41520556, "type": "ATS", "id_locale": "41520556-en", "job_description": "You are a trusted technology and business partner with deep understanding of mining & metals engineering domains and how digital technologies, systems, data and AI could support them. You are comfortable operating in a global environment, engaging frequently with senior leaders, site teams, and IT solutions delivery partners. You bring: Strong communication and storytelling skills, essential for working with diverse global stakeholders Thought leadership. Ability to challenge conventional thinking and usage of digital technologies and strategic mindset with the ability to translate business priorities into clear IT, digital, data and analytics initiatives Hands-on experience and interest in building digital systems, IT systems, data, analytics and AI capabilities. Build and maintain deep relationships and knowledge of the business, being embedded in the business to have a profound understanding of the business's strategy, roadmap, and pressing challenges, being able to influence leadership level. Understanding of how data and AI drive innovation in science and engineering heavy business areas Proven experience leading demand management, investment prioritization, and governance routines A collaborative, curious, and customer\u2011centric approach to problem solving. Act as the primary IT business partner for Exploration, Mining, Geotech, Processing, Metallurgy, Mine Planning, and R&D Support the core mining value chain globally, ensuring technology initiatives align with operational and strategic priorities Build deep understanding of business strategies, processes, systems, and challenges to proactively identify digital opportunities Shape and manage demand intake, prioritization, and multi year roadmaps, considering budget and resource constraints Develop, champion, and track business cases for IT, digital, data and AI initiatives Lead IT governance forums for Engineering Functions and represent the function in broader IT steering committees Proactively propose solutions to the business avoiding software and other digital technologies sprawl, increasing complexity, cost and risk with no clear business value Develop and champion experiments and scaling of successful pilot projects and technologies. Drive value realization by tracking benefits and ensuring required business and technology changes occur Partner with IT, AI & Analytics delivery, PMO, and operations teams to ensure effective solution design and execution Partner with the company scientists and engineers in building digital IP where relevant and valuable Ensure alignment with enterprise IT strategy, architecture standards, and governance frameworks. Hold IT accountable for delivery against agreed service levels, timelines, outcomes and ensure IT initiatives receive the right level of support and sponsorship from the business Maintain visibility of IT related business risks, audit findings, and remediation actions Guide business to ensure day-to-day operations needs are addressed by IT Operations through the proper IT delivery channels. 11-15 years of progressive experience in mining & metals, or other heavy industries like Oil & Gas, Chemicals, Energy or Manufacturing. Experience or background in one of the following areas: Exploration or Geoscience, Mining Engineering or Mine Planning, Mineral Processing or Metallurgy Demonstrated experience partnering with IT, AI & Analytics delivery teams to ensure technical solutions selection and successful project implementation at scale Experience developing and executing multi\u2011year technology or digital roadmaps Proven capability in building relationships and influencing at leadership level, budget management, governance, and value realization Willingness and ability to travel frequently to our exploration, mining and refining sites. Undergraduate degree in a relevant discipline, such as: Mining Engineering Mineral / Metallurgical Processing Geological Engineering, Geoscience, or Exploration\u2011 Other closely related technical disciplines Experience delivering IT, Tech, Data, Analytics and AI solutions with good understanding of how digital technologies are enabling productivity and innovation in scientific and engineering areas. Engineering experience with Geology, Geoscience, Minning Engineering and/or Metallurgical Engineering or related technical fields ideally in global heavy industry company (Mining & Metals, Oil & Gas, Chemicals etc.) Ability to build a multi-year digital technology roadmap, and secure sponsorship and support from all required stakeholders to approve funding and execution. Experience controlling budget and tracking value realization. Experience with LEAN concepts. Customer centricity and ability to ensure service levels are meet as agreed with the business. Ability to communicate value of digital technology in business KPIs and terms Creative problem solver, able to understand business strategy and needs and proactively identify digital solutions Verbal and written skills to effectively convey complex IT concepts to non-technical stakeholders Fluent in English; Portuguese is a strong asset Exposure to tools such as Deswik, Leapfrog, or similar mining & metals industry software is beneficial", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://vale.eightfold.ai/careers/job/41520556", "isPrivate": false}, {"id": 41773784, "name": "Manager, Business Finance - IT Planning & Business Partnership", "posting_name": "Manager, Business Finance - IT Planning & Business Partnership", "location": "Toronto, ON, Canada", "locations": ["Toronto, ON, Canada"], "hot": 0, "department": null, "business_unit": "Unknown", "t_update": 1786375592, "t_create": 1777559663, "ats_job_id": 41773784, "display_job_id": 41773784, "type": "ATS", "id_locale": "41773784-en", "job_description": "As a Manager, Business Finance - IT Planning & Business Partnership you will serve as the crucial link between the IT function, and the business finance teams-based Brazil, Canada, Europe and APAC regions. This role requires a strong end to end understanding of finance processes and expertise in business process improvement. This role is ideal for a tech or consulting professional with solid finance background in mining & metals or other heavy industries who enjoys working at the intersection of IT, digital technologies, data, analytics, AI and Finance. It is a role focused on supporting our finance functions globally. The successful candidate brings strong understanding of finance processes end to end (record to report, procure to pay, FP&A, treasury, cash management, etc.), is naturally connected with technology best practices and can solve business problems with digital technology solutions. This role partners closely with IT solutions architecture, procurement and delivery, focusing on understanding business pain points, prioritizing demand, and ensuring technology investments do deliver measurable value. A business-oriented mindset is essential, challenging assumptions, simplifying workflows, and ensuring the right problems are solved before selecting digital technology solutions. Strong communication and stakeholder engagement skills are critical, as the role works across functions and geographies. Collaboratively with Finance function, you will proactively build a multi-year IT and data strategy and an associated roadmap that fits the needs of this business area. Your financial deep experience and deep understanding of tech, will allow you manage the demand intake, identify, and prioritize IT solutions, work with the business to develop business cases for investments in technology. 10+ years of end-to-end Finance process experience 5+ years in Minning & Metals industry or similar heavy industry sectors (Oil & gas, Chemicals, manufacturing, etc.). Demonstrated experience partnering with IT, AI & Analytics delivery teams to ensure technical solutions selection and successful project implementation at scale Experience developing and executing multi\u2011year technology or digital roadmaps and business cases building. Proven capability in building relationships and influencing at leadership level, budget management, governance, and value realization Undergraduate degree in Business Administration, Finance, Economics, Accounting, Engineering, or a related discipline Experience delivering IT, Tech, Data, Analytics and AI solutions with good understanding of how digital technologies are enabling productivity and innovation in scientific and engineering areas. Ability to challenge conventional thinking and usage of digital technologies and strategic mindset with the ability to translate business priorities into clear IT, digital, data and analytics initiatives Influencing & Stakeholder Engagement with demonstrated ability to gain support from both business and technical teams. Ability to communicate value of digital technology in business KPIs and terms Creative problem solver, able to understand business strategy and needs and proactively identify digital solutions Experience managing customers' expectations and strong ability to build and maintain long-term relationships with business areas. Customer centricity and ability to ensure service levels are meet as agreed with the business. Experience controlling budget and tracking value realization. Experience with LEAN concepts. Verbal and written skills to effectively convey complex IT concepts to non-technical stakeholders Fluency in English; Portuguese is an strong asset Build and maintain deep relationships and knowledge of the business, being embedded in the business to have a profound understanding of the business's strategy, roadmap, and pressing challenges, being able to influence leadership level Collaborate with other IT BPs to ensure that other business areas roadmaps integrate well with the Finance roadmap.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://vale.eightfold.ai/careers/job/41773784", "isPrivate": false}, {"id": 41944969, "name": "Specialist, Data Developer (Microsoft) ", "posting_name": "Specialist, Data Developer (Microsoft) ", "location": "Toronto, ON, Canada", "locations": ["Toronto, ON, Canada"], "hot": 0, "department": null, "business_unit": "Unknown", "t_update": 1786375416, "t_create": 1778796347, "ats_job_id": 41944969, "display_job_id": 41944969, "type": "ATS", "id_locale": "41944969-en", "job_description": "You are a highly skilled data professional with deep expertise in modern data platforms, cloud technologies, and advanced analytics solutions. You thrive in complex environments and excel at building scalable, reliable, and high-performance data pipelines and architectures. You bring a strong mix of technical depth and business acumen, with the ability to translate data requirements into impactful solutions. You are collaborative, detail-oriented, and passionate about leveraging data to drive innovation and business value. You are comfortable working with large data sets, emerging technologies, and cross-functional teams, while maintaining a strong focus on data quality, governance, and continuous improvement. 8-10 years of experience in data development, data engineering, or related roles Proven experience building data pipelines, ETL processes, and enterprise data solutions Undergraduate degree in Computer Science, Data Science, Software Engineering, or a related field Advanced knowledge of IT service management and end user services Strong understanding of ITIL and service management best practices Experience leading teams and influencing stakeholders across regions Strong communication and stakeholder management skills Ability to operate effectively in high\u2011pressure, 24x7 operational environments Structured, analytical, and service\u2011oriented mindset Focus on standardization, automation, and continuous improvement In This Role, You Will Data Pipeline Development Design, develop, and optimize 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Collaborate with data scientists to build, optimize, and deploy ML/AI models Develop data pipelines to support advanced analytics and AI initiatives Ensure data practices comply with governance frameworks, security standards, and regulatory requirements Monitor data quality, pipeline performance, and model accuracy Implement controls to protect sensitive data and ensure data integrity Manage relationships with vendors and ensure delivery of high-quality solutions Support transition of solutions from development into production environments Support knowledge sharing, training, and stakeholder communication Contribute to continuous improvement and adoption of best practices Azure Cloud certifications Data Engineering / Data Development certifications Databricks, ML/AI, or Advanced Analytics certifications Certified Data Management Professional (DAMA)", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": 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