Data, Analytics, and Decision Intelligence Manager

**Data, Analytics, and Decision Intelligence Manager**:

- Job ID
- 931630
- Job Type
- Permanent Full Time
- Location
- Australia - Brisbane
- Categories
- IT
- Applications close
- 03 Oct 2025 E. Australia Standard Time

**Make your mark with Thiess**

Everyday, all around the world, Thiess supports and celebrates our people. We recognise talent and reward transparency. We champion diversity and embrace change.

Join us. Hone your skills and develop new ones. Take on big challenges and grow, through mentorship, collaboration and empowerment.

Thiess is the place to make things happen.

**What you’ll do**

Reporting to the **Head of Autonomy and Operations Technology**, this role is responsible for driving data-driven decision-making by managing and delivering cutting-edge data, analytics, artificial intelligence and reporting platforms. You will lead a team of data professionals and work across internal and external stakeholders to address operational and business challenges while aligning with our strategic objectives.

This is your opportunity to be at the forefront of innovation, leveraging technology to shape the future of sustainable mining.

**Key Responsibilities**

**Strategic Leadership**
- Formulate and execute the strategy for Thiess’ data, analytics, and reporting platforms.
- Champion data-driven initiatives and advocate for their business value.
- Manage a portfolio encompassing governance, delivery, and operations of the Thiess Data Lakehouse, Data Science models, Artificial Intelligence initiatives, and the Microsoft Fabric reporting platform.

**Stakeholder Engagement**
- Foster strong relationships with operational, functional, and technical teams.

**Project & Solution Delivery**
- Oversee the entire lifecycle of data, analytics, and reporting solutions—from ideation to deployment.
- Collaborate on integrating solutions into broader business ecosystems and ensure cross-functional alignment.

**Performance, Risk, and Team Management**
- Develop tools to assess solution performance across KPIs and business goals.
- Plan and manage budgets, roadmaps, and resource allocation.
- Build and lead multi-disciplinary teams, ensuring their development and performance align with corporate objectives.

**Continuous Improvement**
- Conduct market research on industry trends to identify opportunities for innovation.
- Drive a culture of data-driven decision-making throughout the organization

**What You’ll Need to Succeed**

We are seeking an accomplished professional with extensive experience in data science, engineering, and analytics, combined with a solid background in leadership roles. With at least 10+ years of experience in areas such as Data Science, Data Engineering, Artificial Intelligence, Cloud Architecture, or Operations Research (and 5+ years in senior positions), you will have a proven track record in delivering innovative solutions such as machine learning, optimisation models, or enterprise-scale data and reporting platforms. Expertise in modern cloud technologies, Agile development practices, and CI/CD pipelines is crucial, while experience in large-scale mining or heavy industry will be highly regarded. Additionally, we are seeking someone who can harness their leadership skills to transform data-driven strategies into measurable outcomes.

To succeed in this role, you will need exceptional technical and interpersonal skills. A deep understanding of data science, data governance, data engineering, and business intelligence forms the foundation of your expertise. You’ll possess outstanding stakeholder engagement, public speaking, and leadership abilities, with an emphasis on influencing decision-making at all levels. Practical experience with cloud data platforms, analytics frameworks, DevOps practices, and version control systems will drive your success. Finally, a demonstrated record of leading multi-disciplinary teams while fostering a culture of collaboration, innovation, and continuous improvement is critical.

**Key Skills and Experience**
- 10+ years of experience in data science, technology, or analytics roles, with 5+ years in senior leadership positions.
- Proven expertise in delivering cutting-edge machine learning models, optimization, or enterprise-level reporting solutions.
- Advanced technical skills with modern cloud environments, CI/CD pipelines, and Agile methodologies.
- Hands-on knowledge of cloud data platforms, analytics frameworks, and DevOps practices.
- Exceptional communication, stakeholder management, and team leadership skills, with the proven ability to influence decisions.
- Strong understanding of end-to-end modern data solutions, data governance, and business intelligence frameworks.

**What we offer**
- Flexible, hybrid work model
- Supportive, inclusive culture that values innovation and continuous improvement
- Opportunity to work with an amazing team on a high impact project
- Collaborative, values-led culture with a global reach.
- Access to leadi