About BHP

At BHP we support our people to grow, learn, develop their skills and reach their potential. With a global portfolio of operations, we offer a diverse and inclusive environment with extraordinary career opportunities. Our strategy is to focus on creating a safe work environment where our employees feel strongly connected to our values and objectives, and where the capability of our people is key to our success. Come and be a part of this success.

About the Role

BHP is generating large amounts of data from different sources and envisioning to scale value and impact through delivery of emergent data and AI solutions. Reporting to the Manager Data Platforms, as a Principle Data & AI Platforms you will play a hands-on role providing expertise in design, implementation and continuous improvement of BHP's core Data & AI Platforms and Technologies. These platforms provide re-usable, scalable and sustainable capabilities enabling project teams and customer groups all across BHP globally to focus on solving business problems, optimise processes and deliver positive impact using Data, ML and AI techniques.

Key Responsibilities:

Collaborate across Data, Visualisation, AI and Governance platform teams to engineer seamless data and analytics experience to users. You will be working across key technologies providing an integrated platform offering – Snowflake, Power BI, AWS SageMaker, AWS Agent Core/Bedrock, Azure AI Foundry, Collibra, MS Purview.
Focus on scaling out of emergent Knowledge Base, AI/ML, GenAI and Agentic platform capabilities – e.g. Snowflake Cortex, Vector stores, Graph databases (e.g. Neo4J), AWS Bedrock/Agent Core, Computer Vision, AI Cataloguing and Governance.
Engage with wide variety of engineering, analytics and user groups to enable them to leverage platform capabilities following self-service, start-here experiences (showcases, demos, labs, reference examples).
Partnering with delivery teams across BHP to assist in the delivery of use-cases by providing platform knowledge, design and implementation support to delivery teams (business, technology or project).
Define, communicate and maintain standards, frameworks, guidelines and best practice engineering guides for platform offerings.
Product management – leading and working with a small team of BHP experts, outsource DevOps partners and product vendors on continually improving our platforms. This includes setting a vision and coordinating development of our roadmaps, annual plans, capital projects, lifecycle management, operational support, vendor licensing/renewals, cost management and cyber security adherence.
Lead and contribute to delivery of annual and 90-day plans following Agile methodologies align to overall roadmap.
Pro-actively collaborate with Architecture, Cyber Security, Data Strategy, Data Privacy & Compliance, Applications, Cloud & Network and other technology teams (Integration, ServiceNow, ERP, Microsoft 365) ensuring Platform capabilities integrated into the broader landscape and addressing enterprise concerns.

About You

You are a hands-on learner who is eager to continuously learn and develop your engineering skills across modern Data and AI platforms. You stay up to date with evolving technologies and enjoy contributing to the success of projects through your technical abilities, curiosity, and team-first approach.

Significant hands-on data/cloud engineering or data platform engineering orientated roles with primarily cloud-based PaaS and SaaS platforms.
Significant professional exposure to modern/cloud data centric platforms and infrastructure - including enterprise data warehouses/data lakes, master data, integration platforms, data virtualisation, reporting/data warehousing and advanced analytics platforms.
Exposure to source control and CI/CD practices.
Hands-on experience with common data science libraries, automation, languages, and tools (e.g. Jupyter Notebooks, TensorFlow, R-scripting, Python, Pandas etc).
Exposure and understanding of emerging AI/ML, Knowledge Base and Agentic technologies (e.g. Snowflake Cortex, AWS Agent Core, AI Foundry, Copilot Studio, Bedrock, OpenAI, Graph and Vector Stores)
Experience and knowledge of general automation, AI and Data science practices – including common algorithms and AI/ML Ops, Prompt engineering, RAG.
Experience in creation of data platform related patterns and/or engineering best practices/guides for wide user consumption
Understanding and application of data integration, warehousing, data mesh, AI/ML and Agentic concepts, patterns, techniques and principles.
Strong experience working within an Agile, DevOps and Product Team mindset.
Strong communication and collaboration skills, guiding and influencing business and technical stakeholders across the organisation.
AWS, Azure and Snowflake certifications are desirable.

Deadline of application is on 26 August 2026.

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