At a Glance
- Tasks: Manage geoscience data to enhance exploration and enable advanced analytics and AI.
- Company: Endeavour Mining, a leader in the mining industry focused on innovation.
- Benefits: Competitive salary, opportunities for professional growth, and a dynamic work environment.
- Other info: Lead a small team and drive transformation in data management.
- Why this job: Join a forward-thinking team and make a real impact in the mining sector.
- Qualifications: Master’s degree in a technical field and strong geoscience knowledge required.
The predicted salary is between 60000 - 80000 £ per year.
As part of its 2026-2030 Exploration Strategy, Endeavour Mining is strengthening its enterprise management of exploration and geoscience data to accelerate discovery, improve decision quality, and enable advanced analytics and AI. EDV is recruiting a Geoscience Data Manager, accountable for ensuring that exploration and geoscience data is governed and secure, structured, historised, and analytics-ready, enabling advanced geological interpretation, data science, and AI-driven exploration workflows, covering drilling, sampling, geological, and geospatial data. The role plays a critical part in bridging geoscience domain knowledge with data engineering and data science, ensuring that EDV can progressively leverage predictive analytics, machine learning, and automation in exploration activities. The position will manage up to 5 people in the team.
To succeed in its mission, the Geoscience Data Manager will:
- Establish a robust, enterprise-grade foundation for exploration and geoscience data, ensuring data is consistently captured, governed, and secured across all sites.
- Drive the modernization of exploration data systems and processes, eliminating fragmentation, manual handling, and quality bottlenecks.
- Transform drilling, sampling, geological, and geospatial data into analytics-ready assets, reducing time from data capture to geological insight.
- Bridge geoscience domain expertise with data engineering, enabling advanced analytics, predictive modelling, and AI-driven exploration workflows.
- Ensure strong adoption at site and regional level, embedding data standards, tools, and insights into daily exploration workflows.
- Act as a Technological enabler of the 2026–2030 Exploration Strategy by ensuring that data foundations support faster discovery, better decisions, and scalable innovation.
KEY ACCOUNTABILITIES
- Geoscience Data Product Ownership & Governance
- Own the end-to-end lifecycle of exploration and geology data, including drilling, sampling, assays, logging, and geospatial datasets.
- Define and enforce data standards, naming conventions, validation rules, and QA/QC automation for all exploration sites.
- Act as Data Expert for geoscience datasets within EDV’s enterprise data governance model.
- Ensure exploration datasets are documented, catalogued, and governed in collaboration with the Data & Insights team (e.g. data catalogue, lineage, ownership).
- Own and oversee Geoscience Data Management Systems (GDMS), including central geology databases, drilling and sampling repositories, interfaces with GIS and geological modelling tools in collaboration with Enterprise Architecture.
- Ensure systems are scalable and fit-for-purpose, aligned with enterprise IT standards, cyber-secure and resilient.
- Partner with IT teams to modernize legacy exploration data systems, integrate GDMS with the central data platform, reduce manual data handling and duplication.
- Data Capture, Validation & Quality Assurance
- Design and supervise data capture workflows from field to system: site geologists, samplers, contractors.
- Implement automated QA/QC processes to ensure data accuracy, completeness, and consistency.
- Coordinate with Regional Exploration QA/QC Managers, Site Data Stewards / Field Geologists, GIS Geologists, to ensure data is validated at each stage before use in interpretation or modelling.
- Analytics & AI Readiness
- Create high value Data Products for mine exploration use cases driving the organization towards AI-readiness, translating exploration challenges into modelling problems and guiding data scientists in building robust, production-grade AI solutions.
- Ensure exploration datasets are structured to support geostatistics, probabilistic modelling, and machine learning pipelines (feature engineering, model lifecycle, monitoring).
- Strong understanding of 3D geological modelling workflows, block modelling principles, and spatial data structures used in exploration environments.
- Ensure exploration datasets are structured, historised, and analytics-ready.
- Contribute to the definition of future-state exploration analytics capabilities.
- Collaboration & Stakeholder Enablement
- Act as a trusted partner to Exploration and Geology leadership.
- Translate business needs into data and system requirements.
- Drive adoption through training, documentation, and continuous engagement with end users.
- Ensure new processes and systems are embedded into daily exploration workflows.
Success in 24 Months Looks Like:
- Core exploration data model standardised across all sites.
- AI-assisted targeting pilot delivered and adopted.
- Reduction in time from drilling to validated geological insight.
- Exploration datasets fully integrated into enterprise data platform.
- Clear roadmap for predictive exploration.
Education
- Master’s degree in Computer Science, Software Engineering, Information Systems, Data Engineering, or a related technical field.
- Geoscience or equivalent knowledge is a must.
Geoscience Data, Analytics & Platforms
- Strong Background in Data Engineering related field with hands-on experience.
- Strong understanding of Geospatial data & Systems.
- Proven ability to design and operate analytics-ready geoscience data models supporting geological interpretation, resource modelling, and exploration performance analysis.
- Exposure to advanced analytics, Geostatistics, or AI-assisted imaging or modeling with spatial data.
- Proven experience managing or overseeing Geoscience Data Management Systems (GDMS) and related exploration platforms.
- Strong understanding of data integration, historization, data quality automation, metadata, and lineage.
- Experience with enterprise data platforms (cloud preferred) and familiarity with GIS and geospatial systems.
- Ability to work effectively with enterprise architecture, data engineering, cybersecurity, and infrastructure teams.
Data Governance & Quality
- Strong understanding of data governance, stewardship, and ownership models.
- Experience defining data standards, validation rules, QA/QC automation, and certifying trusted datasets.
- Ability to balance governance and usability to enable analytics while ensuring trust and compliance.
Leadership & Delivery
- Demonstrated experience leading or coordinating small specialist teams (direct or matrix).
- Strong stakeholder management across Exploration, IT, and Data & Analytics.
- Proven ability to manage multiple priorities across sites while delivering in a transformation context.
Geoscience Data Manager employer: Endeavour Mining
Endeavour Mining is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration in the geoscience field. With a strong commitment to employee growth, the company provides opportunities for professional development and advancement, particularly in the context of its ambitious 2026-2030 Exploration Strategy. Located in a vibrant area, Endeavour Mining promotes a culture of inclusivity and teamwork, ensuring that every team member's contributions are valued as they work towards meaningful advancements in exploration and data management.
StudySmarter Expert Advice🤫
We think this is how you could land Geoscience Data Manager
✨Tip Number 1
Network like a pro! Get out there and connect with industry professionals on LinkedIn or at events. We can’t stress enough how important it is to build relationships; you never know who might have the inside scoop on job openings.
✨Tip Number 2
Prepare for interviews by researching the company and its projects. We recommend diving deep into their recent achievements and challenges, especially in geoscience data management. This shows you're genuinely interested and ready to contribute!
✨Tip Number 3
Practice your pitch! You want to be able to clearly articulate your experience and how it aligns with the role of Geoscience Data Manager. We suggest rehearsing with a friend or in front of a mirror to boost your confidence.
✨Tip Number 4
Don’t forget to follow up after interviews! A quick thank-you email can go a long way in keeping you top of mind. We believe this small gesture shows professionalism and enthusiasm for the position.
We think you need these skills to ace Geoscience Data Manager
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the Geoscience Data Manager role. Highlight your experience with data governance, analytics, and any relevant geoscience knowledge. We want to see how your skills align with our mission!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about geoscience data management and how you can contribute to our 2026-2030 Exploration Strategy. Keep it engaging and personal!
Showcase Relevant Projects:If you've worked on projects that involved data engineering or advanced analytics, make sure to mention them. We love seeing real-world examples of how you've tackled challenges similar to those we face at Endeavour Mining.
Apply Through Our Website:Don't forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Endeavour Mining
✨Know Your Data Inside Out
Make sure you have a solid understanding of geoscience data management principles. Brush up on your knowledge of data governance, QA/QC processes, and how to structure datasets for analytics. Being able to discuss specific examples from your past experience will show that you're not just familiar with the concepts but can apply them effectively.
✨Showcase Your Leadership Skills
Since this role involves managing a team, be prepared to talk about your leadership style and experiences. Think of examples where you've successfully led a project or team, especially in a data-driven environment. Highlight how you foster collaboration and drive adoption of new processes among stakeholders.
✨Demonstrate Your Technical Savvy
Familiarise yourself with the latest tools and technologies related to data engineering and analytics. Be ready to discuss your experience with data integration, cloud platforms, and any relevant software you've used. Showing that you can bridge the gap between geoscience and data engineering will set you apart.
✨Prepare for Scenario-Based Questions
Expect questions that ask how you would handle specific challenges in data management or analytics readiness. Prepare by thinking through potential scenarios, such as modernising legacy systems or ensuring data quality across multiple sites. This will demonstrate your problem-solving skills and strategic thinking.
