Manager - Geoscience Data & QAQC at AngloGold Ashanti

Qualifications and experience

• A degree qualification in a relevant geology-related or data science discipline
• Sound understanding of the components and key drivers of the surface and underground mining value chains
• Experience in identifying and developing exploration and mining ML/AI applications and with the implementation and adoption of applications
• Ability to take a primary 24 month perspective in managing multiple competing priorities and reconciling these with the Company’s strategic priorities
• Demonstrated strategic and analytic thinking
• Demonstrated capacity to make sound short-term tactical recommendations – quickly assembling and interpreting data to successfully provide relevant feedback
• Understanding of regulatory reporting codes (e.g. SAMREC, JORC and NI43-101)
• Technical and commercial acumen relevant to the role
• Literacy in data management principles and quality control systems
• Demonstrated capability in organising work, setting priorities and exercising sound independent judgement
• Strong ability to work effectively with a diverse range of people and cultures
• Personal credibility with strong interpersonal, influencing and communication skills with internal stakeholders
• High energy and level of enthusiasm for the work with high performance goals aligned to the success of the team
• Preparedness to take a well-reasoned stand on matters of importance
• Strong understanding of other mining-related disciplines
• An understanding of Geological and Resouce models
• A post-graduate qualification in a relevant field with machine learning and data mining OR minimum of 4+ years’ experience in a similar role
• Competency in geological and mining software packages
• Well-developed industry networks
• Experience in Project development studies
• Operational across different mineralisation styles (including gold), mining methods and commodities

Role accountabilities

• Modelling behaviour that is consistent with the AGA Safety Vision and Values, assisting in driving a culture where Safety is our first value, and providing support for incident/accident investigations where required.
• Manage the provision of support, governance, analysis and policy for Geological Data management, advanced ML/AI solutions for Geoscience, and QAQC. This includes:
• Establishing, maintaining and supporting appropriate Policy and Standards with subsequent monitoring and reporting of compliance to those standards.
• Support the development, improvement and maintenance of designated fit-for-purpose related business systems (eg geological data entry & capture methods, geological logging, ML/AI solutions, sampling analysis and QAQC methods and reporting).
• Actively monitor Geological data, ML/AI and QAQC tools and techniques to identify opportunities to improve methodologies, identify potential training requirements and facilitate/provide skills transfer and mentoring of Projects and BU personnel.
• Provide expert Geological data, ML/AI and QAQC advice and input to the Business Units and other functions.
• Coordinate data science and technology projects between AGA groups and sites globally. Ensure that solutions undergo a satisfactory level of scoping and change management to ensure the successful uptake of projects.
• Assess the effectiveness and accuracy of data sources, data gathering techniques and and storage and recommend improvements to existing methods
• Collaborating with programmers, engineers, and organizational leaders to identify opportunities for process improvements, recommend system modifications, and develop guidelines for data governance.
• Deliver direct technical input, support and expertise to M&A due diligence activities and project stage gate reviews.
• Establish  and maintain relationships with external providers of discipline related research programs.
• High level support to the Mineral Resource and Ore Reserves process, including annual compilation and analysis of sampling and QAQC summaries for Mineral Resource Technical Reports.
• Active involvement with all Projects and Operations and review of mine site and project Geological data, data science and technology projects and QAQC methods and processes to ensure alignment/compliance to AGA standards and policy.