Datamine has offices in over twenty countries and more than 5000 customers, Datamine is a world leading provider of technology to plan and manage mineral exploration and mining operations. We provide solutions across the entire mining value chain including GIS, geological data management, laboratory systems, ore body modelling, mine planning, operations, logistics and commodity trading.

CCLAS EL, a product of Datamine, is an on premise LIMS solution that automates laboratory processes through flexible sample registration, barcode label printing, work list generation, online data capture from a wide range of analytical instruments, and automatic generation of analytical reports and commercial invoices. Datamine is currently migrating the functionality of CCLAS EL to a new web based LIMS we are calling CCLAS Mining.

ABOUT THE ROLE

The Product Owner translates laboratory needs into clear, testable specifications for CCLAS Mining and manages the product engineering activities within the AI Driven Development Life Cycle (AI-DLC). The role combines chemistry and laboratory knowledge with LIMS experience to ensure delivered functionality is scientifically correct, practical to use and aligned with customer needs.

Reporting to the Product Manager, this person will be working with the R&D; Manager, Business Analyst, developers and QA. The Product Owner defines expected behaviour, coordinates AI-assisted delivery and personally performs functional QA and usability testing. The role provides evidence and recommendations for product acceptance and release readiness.

KEY RESPONSIBILITIES

LABORATORY DISCOVERY AND PRODUCT SPECIFICATIONS

Liaise with customers (chemists’/laboratory managers) or consultants to understand workflows, operational problems, and priorities. Map current and proposed processes and identify opportunities to reduce manual work and errors.

Translate needs into functional specifications, user stories, workflow diagrams, wireframes, and measurable acceptance criteria. Define business rules, data fields, validations, permissions, exception paths, and reporting requirements.

Specify workflows across sample receipt and registration, preparation, test allocation, instrument data capture, result calculation, QC review, authorisation, reporting, and invoicing, as relevant to each feature.

Define scientific rules precisely, including units, dilution factors, rounding, significant figures, detection limits, QC limits, retests, and amended results. Resolve ambiguities with laboratory subject matter experts.

Document integration and data requirements with technical specialists, including instrument interfaces, APIs, data mappings and migration or reconciliation rules. Define usability, performance, auditability, and data integrity expectations.

Maintain traceability between customer needs,



approved specifications, changes, acceptance criteria, and test evidence. Manage specification versions and support backlog prioritisation with the R&D; Manager and Product Manager.

AI DLC DELIVERY AND PRODUCT QUALITY

MANAGE THE AI DLC PROCESS

Coordinate work from inception and specification through construction, validation, and operational handover. Agree scope, dependencies, review points, and completion criteria with the delivery team.

Prepare and maintain the approved laboratory context, requirements, examples, and constraints supplied to AI tools. Break features into manageable work packages and keep specifications current as decisions change.

Review AI-generated plans, designs, specifications and test proposals for omissions, unsupported assumptions, and incorrect laboratory logic. Clarify requirements and direct rework before work proceeds.

Coordinate human review and approval at the required decision points. Record material decisions and ensure AI-generated deliverables are assessed against approved requirements and independently prepared expected results.

Track progress, defects, risks, and blockers. Escalate scientific, quality or delivery concerns and coordinate resolution with the Product Manager and R&D; Manager.

Use approved AI tools and protect customer information, intellectual property, and credentials. Use synthetic or appropriately de-identified laboratory data in prompts and test environments.

FUNCTIONAL QA AND USABILITY TESTING

Create and execute risk-based test plans for AI-DLC product output, covering functional behaviour, integrations, regression, and realistic laboratory scenarios. Collaborate with automation engineers on repeatable automated coverage.

Independently verify calculations, QC decisions, sample, and result traceability, reporting accuracy, permissions and audit trails using representative datasets and known expected outcomes.

Test normal workflows and failure conditions, including missing or invalid results, unit mismatches, duplicate samples, failed imports, retests, and amendments. Confirm that errors are visible and recoverable.

Plan and conduct usability testing with representative laboratory users. Assess task completion, navigation, terminology, keyboard use, accessibility, error prevention, and the effort required for routine work.

Coordinate user acceptance testing (UAT); record reproducible defects with evidence, impact, and severity,



then retest fixes. Distinguish software defects from specification gaps, configuration issues, and training needs.

Maintain acceptance evidence and a summary of residual risks. Recommend acceptance or further work, and elevate unresolved critical defects through the agreed release process.

CUSTOMER SUPPORT AND CONTINUOUS IMPROVEMENT

Assist Business Analyst with user documentation. Assist Professional Services and Support with complex workflow issues, analyse feedback and recurring defects, and feed improvements into the backlog. Work effectively across regions and technical disciplines.

QUALIFICATIONS AND EXPERIENCE

ESSENTIAL

Bachelor's degree or higher in Chemistry.

Practical experience in an analytical, commercial, or mining laboratory, with a sound understanding of sample lifecycles, analytical methods, instrument workflows, QC, result review, and laboratory operating procedures.

Hands-on LIMS experience as a laboratory super user, administrator, implementation consultant, business analyst, product specialist or similar, including defining or improving laboratory workflows.

Demonstrated ability to write clear software specifications and acceptance criteria and translate between laboratory users and technical teams.

Ability to manage AI-DLC activities with Claude Code, including preparing context, reviewing AI-generated work, coordinating human decisions, and validating software output. Practical experience with AI-assisted software delivery and structured development processes.

Experience performing functional QA, regression testing, UAT and usability evaluation, with accurate test records and effective defect reporting.

Working knowledge of laboratory quality systems and data integrity, including traceability, controlled changes, audit trails and how LIMS supports ISO/IEC 17025 laboratory requirements.

Strong analytical judgement, attention to detail and transparent written and verbal communication. Ability to manage competing priorities, facilitate decisions and work independently within a global team.

DESIRABLE

Experience with CCLAS EL.

Experience in Geochemical, metallurgical or minerals testing laboratories.

MS SQL Server or relational database knowledge; familiarity with instrument interfaces, APIs and data migration or reconciliation.

Experience with Jira or Azure DevOps, Git, wireframing tools, and Agile delivery; exposure to automated testing, CI/CD, and cloud environments.

Experience with laboratory software validation, accessibility testing, and change management.

BENEFITS AND PERKS

- Join a fun, friendly and passionate team that are the “best of the best”!
- Flexible working from home options
- Long term career prospect in a large global software company

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📌 Product Owner - LIMS (Brisbane)
🏢 Datamine Software
📍 Brisbane