Latest Job Vacancies at Glencore

The Opportunity 
This role will assist in the development of the Glencore Copper Social Performance and Human Rights policies, strategies, annual plans, targets and performance indicators for the Copper Department. Support the monitoring and evaluating of reports on the implementation of Social Performance & Human Rights Policy, Standards, Strategies, Performance and Governance.  
 
In this role you will: 

• Contribute to the development of guidelines and protocols based on specific Social Performance and Human Rights related topics that are Glencore Copper strategic focus areas, risks and opportunities. 
• Support the development of Copper programmes in the delivery of key Social Performance and Human Rights focus areas, including stakeholder engagement, social investment monitoring and reporting, indigenous peoples, cultural heritage and human rights management.
• Provide advice on Social Performance and Human Rights issues including social risk and impact assessment, land acquisition and resettlement, social closure planning.  
• Support the sites to establish and maintain Social Performance and Human Rights systems to manage data, information and measure performance on key metrics and programme delivery. 
• Assist in the data collection, analysis, compilation and coordination of Social Performance and Human Rights data for Glencore Copper and Corporate reports.  
• Review copper assets’ Social Performance and Human Rights risk registers and determine what needs to be changed based on risk type, frequency, and controls related to the risk for the region. 
• Advise the site management on how to deal with risks, understanding the assessment of potential maximum consequence, current level of risk, and control effectiveness. 
• Support Copper contribution and input into Glencore Social Performance and Human Rights working groups and provide a positive contribution to assist the Company meet its Social Performance and Human Rights goals. 
• Assist the Senior Social Performance and Human Rights Principal with the coordination of the HSEC Assurance Programme. Participation/assistance on Social Performance and Human Rights Departmental Audits. Active involvement in Standard compliance verification. 
• Support in the review of the Capital Management Framework social performance requirements.  

Your training, skills & expertise checklist: 

• Tertiary degree in Social Science, environmental, mining, or related discipline. Master’s degree preferred. 
• 10+ years’ experience working in social performance and human rights in a mining, oil and gas operation at a regional or corporate level. Consultancy experience also considered. 
• Assurance, auditing and reporting experience preferred. 
• Demonstrated experience in managing and implementing social performance policies, standards and processes in a multinational working environment. 
• Ability to apply system thinking, and time and project management principles. 
• Proven ability to develop written and presentation reports for senior and executive management. 
• Ability to travel globally and to sites.   
• Fluency in English both written and spoken. Spanish and/or French language would be beneficial. 

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Key Relationships

• Global Lead Data Scientist
• Data Scientist, Business Analysts, Technology Project Managers
• Regional Operational Excellence and Technology Transformation Manager
• Lead Data Engineer
• Regional Leads of Automation
• Operational Excellence Managers
• PMO Lead
• Planning and Cost Engineer
• Project Managers
• Project Services Team

Qualifications & Skill Requirements:

• Degree in Engineering, Computer Science, or a related business discipline
• Desirable Master's or PhD in Statistics, Mathematics, Computer Science, or another quantitative field.
• Agile Certification desirable
• Lean Six Sigma Certification desirable
• Project Management Certification desirable

Competencies:

• Ensures Accountability
• Develops Talent
• Drives Engagement
• Instils Trust
• Collaborates
• Customer Focus
• Plans and Aligns
• Strategic mindset
• Communicates effectively.
• Decision Quality
• Courage
• Being Resilient

Work Experience:

•   Qualifications and Experience (min 3 of the 4 points):
• More than 10 years of work experience
• More than 5 years of experience manipulating data sets and building statistical models.
• More than 1 year of experience on site mines, in operations or dispatch.
• Leadership experience, technically guiding and motivating data scientists and analysts.
• Data Science and Machine Learning Skills:
• Solid understanding of data science and machine learning foundations.
• Knowledge of a variety of machine learning techniques and their advantages/drawbacks.
• Knowledge of advanced statistical techniques and concepts.
• Experience in implementing statistical modeling and machine learning methods.
• Experience applying optimization algorithms offline and online.
• Familiarity with deep learning, NLP, reinforcement learning, combinatorial optimization, etc.

Domain Knowledge and Technical Background: 

• Experience in the mining technical field specifically on mine operations, mine control process, modular dispatch, fleet management systems, mine planning/design, and asset management.
• Experience on operation and optimization of mining vendors' applications for operations, modular dispatch, fleet management, mine planning, work management, and condition monitoring.
• Experience using and processing mining vendors' data sources for operations, dispatch, fleet management, mine planning, work management, and condition monitoring.
• Business, communication, and collaboration skills:
• Proficiency in defining and communicating business problems and opportunities against the objective of introducing solutions and improvements.
• Demonstrated, well-developed judgment and problem-solving skills with an emphasis on product development.
• Ability to promote vision and play a key role in achieving client satisfaction. 
• Ability to work well as part of a team, a diplomat, and resilience. 
• Strong verbal and written communication skills that work effectively with technical and non-technical audiences. 
• Fluent English (verbal and written) is a must, with desirable French. 

Software and Tools Proficiency:

• Familiarity with statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc. 
• Experience querying databases and using statistical computer languages: Python, SQL, R, etc. 
• Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc. 
• Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc. 
• Additional Attributes: Multi-tasking and excellent management of personal time and priorities. A drive to learn and master new technologies and techniques

General Accountability:

• Proactively identify and champion machine learning initiatives that are highly applicable and can innovate practices within the mining industry in the mining and resource development domains.
• Engage with Asset leadership to precisely understand specific business challenges, ensuring that these problems can be addressed using state-of-the-art analytics and AI solutions.
• Leverage the latest methodologies in deep learning, reinforcement learning, and AI to craft effective solutions for prevailing business issues.
• Play an instrumental role in mentoring and guiding other data scientists, fostering their professional development by enhancing their knowledge and skill sets.
• Work in with data engineers, machine learning engineers, and designers to architect and implement holistic analytics solutions for internal clients, ensuring these solutions bring about tangible, positive real-world impacts.
• Actively participate and contribute in a diverse, multi-disciplinary team environment, seamlessly collaborating with professionals from data science, data engineering, business, and design domains.
• Oversee and govern data models provided by external consultants to ensure consistency, reliability, and alignment with company standards.
• Maintain and monitor machine learning operations, ensuring efficient execution, up-to-date model performance, and prompt troubleshooting of any issues.
• Establish and enforce stringent test protocols and conduct advanced studies for validating or rejecting hypotheses during the rollout of technological solutions related to decision-making processes.
• Data Analysis: Analyze large datasets to extract meaningful insights and trends using, maintaining and improve the internal technology stack.
• Machine Learning Model Development: Design, develop, and deploy machine learning models tailored to specific business challenges.
• Optimization: Refine algorithms and models for improved accuracy and efficiency.
• Collaboration: Work closely with business units, data engineers, and other stakeholders to define and refine project requirements.
• Reporting: Present findings and insights to both technical and non-technical audiences in a clear and concise manner.
• Continuous Learning: Stay updated with the latest developments in the field of data science, machine learning, and AI.
• Data Governance: Ensure data quality and integrity. Establish and enforce data handling and privacy protocols.
• Mentoring: Guide and upskill junior data scientists and analysts in best practices, techniques, and methodologies.
• Tool and Platform Selection: Recommend and assist in the selection of appropriate tools and platforms for specific data tasks.
• Solution Scaling: Scale models to handle larger datasets, ensuring they remain efficient in real-world scenarios.
• Prototyping: Rapidly develop prototypes to test and validate new methodologies or concepts.
• Model Maintenance: Monitor the performance of live models, ensuring they continue to operate as expected, and adjust as needed.
• Stakeholder Communication: Engage regularly with stakeholders to ensure data initiatives align with business goals and objectives.
• Risk Management: Identify potential risks in data-driven solutions and implement strategies to mitigate them.
• Testing and Validation: Rigorously test new models and methods, ensuring their reliability before full-scale implementation.
• Documentation: Document methodologies, insights, and findings comprehensively for future reference and for other team members using Git and internal Glencore policies.
• Operational Integration: Work with IT and operations teams to integrate machine learning solutions into business operations.
• Strategic Planning: Assist in the strategic planning of data initiatives, ensuring they align with the company's long-term goals.

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Accountability:

• Lead the definition and execution of our data architecture and data operating model, the role position exists primarily to provide direction, mentorship, and oversight to a team of data engineers, DataOps engineers and architects. As technology becomes more advanced and data-driven decisions become essential, this lead will steer the direction of data strategy, ensuring that it aligns with the overall business objectives.
• Monitor operational backbone performance & identify data optimisation opportunities, and Liaison with IT and OT asset areas to organise data extraction, migration cleaning and transformation and availability, the role plays a pivotal role in ensuring that the company's data assets are not only effectively managed but also strategically utilized. By actively liaising with key stakeholders and SMEs, they ensure that data solutions are in sync with business needs.
• Develop and deploy a data architecture roadmap aligned to achieve an organisational single source of truth and provide guidance & expertise in the creation of tactical data architectures and virtualisations to secure and deploy digital products across assets.

Key Relationships

• Global Digital Analytics Manager
• Data Engineers
• DataOps Engineers
• Business and Data Analysts
• IS/SAP Global Program Manager
• Regional Technology Transformation Manager
• Regional OE Manager
• Lead Data Scientist
• Lead of Automation
• Lead of Data and System Management 
• Asset GMs, Senior Managers, Managers
• Asset OE Managers/Super Intendent.
• Regional IT Manager
• Asset IT Manager

Qualifications & Skill Requirements:

• Degree in Engineering, Computer Science, or a related business discipline
• MBA/MIS or Tertiary qualification desirable
• Agile Certification
• Lean Six Sigma Certification desirable
• Project Management Certification desirable

Competencies:

• Ensures Accountability
• Develops Talent
• Drives Engagement
• Instils Trust
• Collaborates
• Customer Focus
• Plans and Aligns
• Strategic mindset
• Communicates effectively.
• Decision Quality
• Courage
• Being Resilient

Work Experience:

•  +12 years’ experience in operations or project management in a technology industry or area  
•  5-7 years of experience in crafting or manipulating data sets and building data architectures 
• Experience and understanding of agile methodologies for project delivery
• Experience in change management by using digital tools and products
• Experience managing data integration to facilitate root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Experience implementing data governance programs
• Experience in big data architectures, cloud and on-prem infrastructure management
• Experience supporting and working with cross-functional teams in a dynamic environment.
• Experience in industrial Operational Technology or Mining/Industrial processes is a plus
• Experience in digital project studies, finance, technology strategy development and execution 
• Background or experience in continuous improvement or change programs

General Accountability:

• Maintain, formulate, establish, and implement an organization-wide data engineering framework, including policies, controls, procedures, and risks management to achieve data operating excellence aligned with the Copper Management System development.
• Analyse the current business, data environments, accountable for monitoring and controlling the portfolio of data management initiatives worldwide, ensuring consistency and alignment with strategic objectives.
• Oversee the strategic and tactical data architectures, accountable for enabling and supporting the development and maintenance of a strategic data architecture, ensuring it meets both current and future business requirements.
• Implement processes to improve data accuracy, consistency, and completeness in all business units.
• Business Intelligence Program Delivery, accountable for the successful delivery and ongoing support of the business intelligence program, ensuring actionable insights for decision-making and monitoring.
• Advanced Analytics Program Support, accountable for the successful delivery and ongoing support of the advanced analytics program, ensuring efficient data architectures and ETLs.
• Optimization of Data Infrastructure ROI, accountable for identifying, initiating, and managing data projects that increase the return on investment in data infrastructure.
• Digital Projects Oversight: Collaborate with IT/OT, IS and data architects to ensure that data structures support compliance with data governance policies and successfully delivery of data pipelines.
• Frame and oversee changes to data systems, data, and enterprise architectures to ensure alignment with governance principles and business strategy.
• Internal and external stakeholder alignment, coordination, and cooperation to deliver data architecture and data engineering expertise across the Copper business. 
• Envision and architect cloud and edge data infrastructure that not only meets current requirements but is also scalable for future needs.
• Identify, coordinate, and engage data owners, data stewards and internal partners to drive data architecture and integration outcomes.
• Define clear objectives, milestones, and actionable steps to enhance data architecture maturity and effectiveness.
• Define and influence assets to build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources.
• Assist in the implementation of standards and controls for the internal team.
• Engagement of consultants for works initiatives including preparation of scopes, tendering, assessment, and award processes.
• Support regional technology leads in the development of LATAM, AFRICA and NACAP technology roadmaps, from concept through to feasibility. 
• Management of consultant activities on a day-to-day basis

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Accountability:

• The role primarily serves the purpose of developing, managing, and optimizing intricate data architectures, pipelines, and ETL processes, which are pivotal for proficient data handling and derivation of actionable insights.
• By introducing industry best practices into the digital projects of the organization, the position ensures a maximized constructability profile.
• Furthermore, this role stands as a guardian of data, ensuring its security, separation, and compliance across various Glencore international boundaries, all while satisfying the multifaceted data infrastructure needs of the business.
• The role is supporting the business plan through the creation and meticulous maintenance of optimal data models and pipelines, the position bolsters the business's vision of leveraging data driven decision making through optimal systems and processes.
• This position enhances efficiencies for different teams, promoting automated processes which replace manual labour, and enhancing data delivery systems. This pivotal transformation permits team members to channel their focus on tasks that directly add value.

Key Relationships

• Lead of Data Engineering
• Business Analyst, Software Developers
• Global Digital & Analytics Manager
• Regional Technology Transformation Manager
• Operational Excellence Managers
• DevOps Architect
• Data Scientist

Qualifications & Skill Requirements:

• An undergraduate qualification (Bachelors / Honours degree or equivalent) in a relevant IT, software, computer science or engineering discipline.
• MBA/MIS or Tertiary qualification desirable
• Agile Certification Desirable
• Lean Six Sigma Certification desirable
• Project Management Certification desirable

Competencies:

• Ensures Accountability
• Develops Talent
• Drives Engagement
• Instils Trust
• Collaborates
• Customer Focus
• Plans and Aligns
• Strategic mindset
• Communicates effectively.
• Decision Quality
• Courage
• Being Resilient

Work Experience:

•   Direct experience and a very good understanding of the need for formal project disciplines.
• +8 years of work experience
• +5 years’ experience as Data Engineer
• Experience in industry projects, mining or similar is desirable
• Experience building and optimising ‘big data’ data pipelines, ETLs, architectures and data sets
• Experience managing, maintaining, and improving quality in data pipelines
• Experience building processes supporting data transformation, data structures, metadata, dependency, and workload management.
• Experience manipulating, processing, and extracting value from large, disconnected datasets
• Strong experience in SQL applied on different platforms
• Experience in Python, Pyspark, RedPanda, Dagster, Kubernetes (Developer), Dockers.
• Experience using big data & cloud development such as databricks, datafactory, Kafka, Spark, Hadoop and microservices
• Experience building reports using PowerBI or similar
• Experience using Application Lifecycle Management (ALM) platforms such as JIRA, Azure DevOps or similar Multi-tasking and excellent management of personal time and priorities is essential due to involvement in different time-zones.
• Strong verbal and written communication skills that work effectively with technical and non-technical audiences.
• Demonstrated, well-developed judgment and problem-solving skills.
• Strong analytic skills related to working with unstructured datasets.
• Proficient developing with Python, R, Java, C, and/or C++
• Experience in Python, Pyspark, RedPanda, Dagster, Kubernetes (Developer), Dockers.
• Proficient developing API integrations
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Experience supporting and working with cross-functional teams in a dynamic environment.

General Accountability:

• Data Architecture and Database Management:
• Design, construct, install, and maintain large-scale processing systems and other infrastructure.
• Ensure the architectural integrity and efficiency of databases.
• ETL Processes:
• Develop and manage ETL (Extract, Transform, Load) processes to move data among systems.
• Monitor ETL processes to ensure accuracy and performance.
• Data Pipeline Construction:
• Build and maintain the infrastructure required for optimal extraction, transformation, and loading of data from various sources.
• Data Quality and Compliance:
• Ensure the quality, consistency, and security of data.
• Implement measures to maintain data integrity across all platforms and ensure data's privacy and compliance with relevant regulations.
• Collaboration:
• Work closely with data scientists, analysts, and other stakeholders to ensure that the data infrastructure aligns well with organizational needs.
• Collaborate with system architects to ensure alignment between data and system architectures.
• Performance Optimization:
• Continuously monitor, refine, and report on the performance of data management systems.
• Identify, design, and implement internal process improvements.
• Scalability and Storage Solutions:
• Design and implement systems that are scalable, ensuring that data solutions can handle growth.
• Manage and optimize data storage solutions, including databases and cloud storage solutions.
• Liaise with business and other stakeholders to elicit and clarify data requirements, including assessing implementation feasibility and delivery.
• Perform tasks in accordance with quality procedures or architecture requirements as applicable.
• Apply innovative data techniques to identify and solve the most pressing problems within the copper business
• Build and maintain advanced analytics platforms, tools, and products
• Build and maintain data pipelines to capture, clean, and democratise information
• Lead, design and build tactical data architectures and databases to support internal product development
• Lead, design and build highly complex solutions in collaboration with data scientist, full stack developers and subject matter experts
• Produce high quality code using internal guidelines, frameworks, documentation to scale and maintain the internal technology stack
• Follow internal Continuous Integration and Continuous Deployment practices
• Secure adherence and performance of advisory systems and products.

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Accountability:

This role is responsible to support and action routine activities and deliverables within the cost and management accounting and reporting and reporting function within the Copper Africa environment to ensure compliance to Group reporting, IFRS and external reporting requirements.

Key Relationships

• Regional Finance Controller- Copper Africa
• Copper Africa Finance Teams
• Copper Finance Service Functions (Business Analysis and Planning, Financial Reporting, Information Systems , Supply Chain, Transaction Services

Qualifications & Skill Requirements:

• Post-Graduate Degree in Commerce/Accounting
• Graduate Degree in Commerce/Accounting (minimum)
• CIMA is an advantage

Competencies:

• Ensures Accountability
• Develops Talent
• Drives Engagement
• Instils Trust
• Collaborates
• Customer Focus
• Plans and Aligns
• Strategic mindset
• Communicates effectively.
• Decision Quality
• Courage
• Being Resilient

Work Experience:

•  Minimum 5 years Accounting experience (preferably in natural resources industry) with similar requirements
• Prior exposure to cost and management reporting functions and technical accounting within a robust control environment

General Accountability:
Financial Perspective

• Adherence to rigorous and robust governance and oversight processes for Copper Africa by applying best practices in line with fiscal and monetary regime/s within which the function resides; and by supporting accounting and reporting functions to ensure financial governance and discipline across finance functions and related service delivery. 
• Assist in the adherence to financial reporting cycles in Copper Africa by ensuring timeous reporting of site financial and operating results; ensuring information is accurate, meaningful and prepared per standards in line with group reporting, industry, regulatory, IFRS, and other requirements.  
• Prepare/Assist with review all GCF financial reporting deliverables (monthly, quarter-end and year-end) for the dormant companies (corporate entities other than GCA) and GA by applying technical accounting knowledge and skills, by drawing on appropriate templates, and by interrogating as appropriate where apparent anomalies are identified. 
• Apply routines efficiently relating to accounting, financial and reporting systems and processes within sphere of influence and control of Copper Africa by following set procedures and working within set systems (e.g. SAP) for effectively delivery of outputs 

 Operational Perspective

• Support financial governance and oversight activities by assisting with the guidance of the Finance & Admin Manager and the Financial Controller in the implementation of financial, accounting and reporting (Copper Africa) routines and procedures, focusing on statutory accounting, financial reporting, technical accounting with due regard to the control/compliance environment. 
• Adhere to financial reporting cycles by ensuring timeous reporting by Group entities, ensuring data is accurate, meaningful and properly prepared on standardized template/s per regulatory requirements (e.g. OHADA, IFRS) and group reporting requirements and chart of accounts. 
• Prepare financial reporting deliverables of Group and the dormant companies (corporate entities other than GCA)by interrogating SSD and SAP, reviewing comments submitted, ensuring accuracy and reviewing calculations, comparing cumulative data and information, discerning ‘spikes, and interpreting exceptions. 
• Monitor structure & procurement processes (coordination of Sourcing & Transaction Services).  
• Monitor overheads (recurring transactions, incl. leases, etc.) and business support (consultants, ad hoc suppliers, projects) 
• Monitor accruals, prepayments, transactions (WFlow, PR, PO & SES, GRNI, Budget control) and ensure recurring expenses, accruals and provisions are correctly accounted for. Co-ordinate project cost of Fixed Assets (Incl. PR & SES). 
• Prepare intercompany recovery schedules, validate incoming charges and prepare data analysis for the different Operations. 
• Assist in the performance of stewardship reviews on balance sheet, sub-ledgers, financial arrangements- and policies for Group and dormant entities (corporate entities other than GCA) annually by reviewing balance sheet reconciliations; ensuring policy compliance; and checking calculations using financial accounting conventions, knowledge and skills. 
• Track and monitor of open actions and close out of open actions relating to internal, external, insurance audits and Stewardship reviews by using information systems and through vigilant review and follow-up with Group entities and Operations.  

 Cost & management reporting, forecasting and budgeting 

• Prepare inputs to the annual Budget and subsequent estimate/forecast updates and non-financial submissions. 
• Prepare and load budget and forecast templates. 
• Prepare monthly cost center reports for distribution to Copper Africa CFO, FM and individual department managers with detailed explanations for exceptions and variances compared to budget. 
• Required to work closely with various departmental managers in order to understand their costs and cost estimates to be included in the budget. 
• Update cost center owners and changes in DOA

 Customer Perspective 

• Advise and support site finance teams and Group entities to execute on their accountabilities within guidelines set by Regional Financial Controller 
• Maintain professional contact with finance teams on an ongoing basis to understand underlying operating environment issues and events on site 
• Build and maintain open and constructive relationships with Group entities to ensure practices within the financial/accounting and reporting (Copper Africa) are consistently implemented 
• Work collaboratively with finance teams as appropriate to implement on general and specific accountabilities relating to financial/accounting and reporting (Copper Africa) requests from Financial Controller 

 People Management (Learning & Growth) 

• Implement tasks and resolve problems as directed by the Finance & Admin Manager and the Regional Financial Controller to meet finance/accounting and reporting (Copper Africa) objectives by drawing on finance/accounting, reporting and other knowledge and skills, combining with SAP functionality and Excel/computer tools, and by using organizational knowledge and experience. 
• Strive to meet finance/accounting and reporting (Copper Africa) performance objectives by understanding the importance and urgency of tasks/projects, and by applying knowledge, skills and experience toward task accomplishment to the benefit of the team, department and/or organization. 
• Ensure levels of self-knowledge, -skill and -competence are in place to meet finance/accounting and reporting (Copper Africa) objectives, and to contribute meaningfully toward departmental goals 

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We are looking for an experienced Principal Risks Systems & Governance to support our ERM Team based at our office in Johannesburg, South Africa. As part of the global Copper Division within the Enterprise Risk and Copper Management System team, you will play a crucial role in overseeing the implementation and governance of an Enterprise Risk, Audit and HSEC management system. Your expertise and leadership will be pivotal in driving operational excellence and building a foundation of business resilience within our organization. Join us in this exciting opportunity to make a significant impact on our business and be part of our commitment to risk management.  

The main tasks and responsibilities:

• Lead the planning, design and implementation of the ERM system, ensuring it enables the risk management, HSEC and audit standards. 
• Engage with a range of vendors and potential implementation partners to support the embedment of the enterprise system. 
• Own and govern the ERM system once implemented. 
• Collaborate with internal Risk, Audit, HSEC and Technology teams to conduct business process design, and systemisation of the processes within the Enterprise System. 
• Establish data governance processes and policies to ensure the quality, accuracy and consistency of data within the system.  
• Develop and maintain system governance standards, procedures and controls to safeguard the ERM systems functionality and security.  
• Establish Risk KPIs, reporting and routines to monitor the health of the Risk Management framework. 
• Develop training and guidance for the ERM system across the Copper Department.  
• Act as a SME for the user support team, and associated issue resolution related to the ERM system. 
• Utilise data analytics and various techniques to uncover efficiencies and extract insights, to support risk-based decision making.  
• Support ERM audits providing assurance to senior Copper management. 

 Our ideal person: 

• Experience selecting and implementing Enterprise systems. 
• Experience with Risk, Audit and HSEC processes. 
• Ability to think critically, identify options/risks and recommend creative solutions. 
• Excellent project management skills with the ability to lead cross-functional teams. 
• Strong communication and interpersonal skills to collaborate with stakeholders at all levels of the organization.  
• Proficiency in relevant software tools and technologies used in ERM systems. 

Minimum requirements: 

• Suitable tertiary qualifications in Engineering, Information Technology, or Project Management or relevant field. 
• Advanced degree or professional certifications in business, risk management or data governance would be beneficial. 
• Minimum 8 years' experience in consulting, operations, engineering, or project management in the resources sector or related heavy industries. 
• Proven experience in implementing and managing Enterprise systems in a global organization. 
• Experience in business process mapping. 
• Strong knowledge of data governance principals and practices.  
• Frequent travel required during system design (1-2 years) and implementation (quarterly) to the assets for engagements, workshop facilitation and training.  
• Fluent in English; proficiency in French and Spanish is considered an advantage.