PLS is delivering on its vision to be a leading global producer of lithium, a mineral critical to enabling the world’s transition to a more sustainably powered future.

As the owner and operator of the Pilgangoora Operation, the world’s largest independent hard-rock lithium mine, we are expanding fast, investing boldly, and building a global portfolio that positions us at the forefront of the energy transition.

Most recently, we acquired Latin Resources, adding the Colina Project in Brazil to our portfolio — strengthening our international footprint and creating new pathways for growth.

With more than 900 people employed globally, we’re building a future-focused business where talented people can create real impact. At PLS, our Values aren’t just words on a wall, they drive how we work, how we lead, and how we grow: Safety First. Great People. We Deliver. One Team. Shaping Tomorrow.

If you want to be part of an organisation that is ambitious, innovative and shaping the next era of battery minerals, this is a once in a lifetime opportunity to join us.

WHAT PLS OFFERS

• 18 weeks parental leave for primary carers and 4 weeks for secondary carers
• Health and wellbeing allowance
• Annual short-term incentive bonus that recognises individual and business performance
• PLS employee share scheme
• Novated leasing through salary sacrifice
• Newly refurbished facilities at Pilgangoora including gym, tennis, pickleball and volleyball courts, sports oval, and scenic walking tracks
• Paid community leave
• Monthly employee recognition awards
• Access to PLS’ KidsCo School Holiday Program

THE OPPORTUNITY:

Reporting into the Applications Manager, the Data & AI Specialist plays a critical role in managing and optimizing the organization's data analytics and artificial intelligence capabilities, with a strong focus on Power BI administration and the enterprise data warehouse (EDW). This role requires a blend of technical expertise in Power BI administration, AI/ML technologies, data analytics, and enterprise data governance, along with strong communication skills to collaborate with business and IT teams.

Key responsibilities include overseeing the Power BI tenant at an enterprise level—managing workspaces, security, licensing, and performance optimization—while ensuring seamless integration with the data warehouse and exploring AI-driven analytics solutions. The specialist will work closely with data engineers, analysts, and business leaders to define reporting standards, implement AI/ML capabilities, improve data accessibility, and enforce governance policies.

Additionally, this role involves acting as a bridge between technical teams and business stakeholders, advocating for data best practices, optimizing data models for reporting, supporting self-service BI initiatives, and identifying opportunities to leverage AI and machine learning for business insights. The ideal candidate has a strong background in data analytics, proficiency in SQL and DAX, experience working with cloud-based data platforms, knowledge of AI/ML technologies, and the ability to drive adoption of Power BI and AI-driven analytics as strategic tools across the organization.

Key responsibilities include but are not limited to:

Power BI Administration & Governance

• Manage and optimize the enterprise Power BI tenant, including licensing, security, and performance tuning.
• Oversee workspace and dataset management, ensuring efficient and scalable data models.
• Implement and enforce Power BI governance policies, including role-based access control (RBAC) and row-level security (RLS).
• Monitor and troubleshoot Power BI service performance, refresh failures, and user access issues.

AI & Advanced Analytics

• Identify and implement opportunities to leverage artificial intelligence and machine learning for business insights and predictive analytics.
• Collaborate with data scientists and engineers to deploy AI/ML models into production environments.
• Explore and evaluate emerging AI technologies and their applicability to business challenges.
• Support the development of AI-driven dashboards and automated insights within Power BI.
• Audit AI Technologies effectiveness and optimise AI/ML Models
• Review and apply PLS AI Governance and Standards.

Enterprise Data Warehouse (EDW) Integration & Stakeholder Collaboration

• Act as a key stakeholder for the enterprise data warehouse, ensuring Power BI solutions align with EDW architecture.
• Collaborate with data engineers to optimize data pipelines and ensure high-performance data models.
• Work with business teams to define reporting requirements and improve data accessibility.
• Advocate for best practices in data management, governance, and reporting across the organization.

Data Analytics & Reporting Optimization

• Develop, maintain, and optimize Power BI reports and dashboards for business insights.
• Enhance data models with efficient DAX calculations, relationships, and aggregations.
• Ensure data accuracy and consistency across reports and datasets.
• Provide support for self-service BI users, promoting best practices in report development.

Training & Support for Business Users

• Educate and train business users on Power BI tools, capabilities, and self-service analytics.
• Create documentation and best practice guidelines for Power BI usage.
• Act as a point of contact for troubleshooting and Power BI-related queries.
• Facilitate adoption of Power BI as a strategic tool for data-driven decision-making.

ABOUT YOU:

• A bachelor’s or master’s degree in a relevant field such as data science, statistics, or business analytics.
• Bachelor’s Degree Required
• Microsoft Power BI Certification: DA-100 | PL-300 
• Snowflake certification “SnowPro Core COF-C02”
• Power BI Administration & Governance – Experience managing an enterprise Power BI tenant, including security, licensing, and workspace management.
• Data Modeling & DAX Expertise – Strong proficiency in DAX, Power Query (M), and SQL for creating efficient and scalable data models.
• Enterprise Data Warehouse (EDW) Integration – Experience working with enterprise data warehouses and optimizing Power BI connections for performance.
• Data Governance & Security – Knowledge of row-level security (RLS), object-level security (OLS), and role-based access control (RBAC) in Power BI and data platforms.
• Performance Optimization – Ability to diagnose and optimize Power BI reports, data models, and refresh schedules to ensure efficiency.
• Stakeholder Engagement – Experience working with business users, data engineers, and IT teams to define reporting requirements and ensure data accessibility.
• Self-Service BI Enablement – Ability to train and support non-technical users in Power BI best practices while promoting a self-service analytics culture.
• Problem-Solving & Troubleshooting – Strong analytical skills for debugging performance issues, data discrepancies, and system errors in Power BI

SUPPORTING A DIVERSE WORKFORCE

PLS is committed to building and maintaining an inclusive and diverse workforce that reflects the communities in which we operate. We are an Equal Opportunity Employer and provide a recruitment process that is fair, equitable and accessible for all.

We encourage female candidates and First Nations peoples to apply. 

OUR RECRUITMENT PROCESS

As part of our recruitment process, there are several checks which may be conducted including police / criminal background checks, medical, drug and alcohol testing, due diligence checks, right to work checks, and/or reference checks.

We respectfully request agencies not to forward unsolicited resumes unless requested.

ACKNOWLEDGEMENT OF COUNTRY 

PLS respectfully acknowledges the Nyamal and Kariyarra People of the Pilbara, and the Whadjuk Noongar People of the Perth region who are the traditional owners and first people of these lands. We would like to pay respect to the Elders past, and present and emerging for they hold the memories, the traditions, the culture and hopes of the Nyamal, Kariyarra and Whadjuk Noongar Peoples. 

If you are interested in learning more about PLS or registering for future opportunities, please visit our website  www.pls.com.