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AI Strategist

2 weeks ago

Melbourne, Victoria, Australia beBeeData Full time $150,000 - $190,000
Lead Data and AI Architect

We are seeking a highly skilled Lead Data and AI Architect to lead the design and implementation of scalable, secure, and high-performance data and AI solutions that drive innovation and business value.

  • This role will play a key part in shaping our data and AI strategy by providing architectural expertise and thought leadership in data architecture, machine learning, and emerging AI technologies.

As a seasoned professional with extensive experience in data architecture, AI, and industry exposure ideally in Retail or Manufacturing environments, you'll have a deep understanding of cloud platforms (Azure, AWS, GCP), big data tools (e.g., Databricks), and ML frameworks.

You will work collaboratively with engineering teams to integrate AI solutions into production environments and ensure data quality, lineage, security, and compliance.

About the Role

The ideal candidate will possess:

  • Tertiary qualifications in Computer Science, IT, Data Science, Engineering, or a related field.
  • Extensive experience in data architecture, AI, and industry exposure ideally in Retail or Manufacturing environments.
  • Skilled in cloud platforms (Azure, AWS, GCP), big data tools (e.g., Databricks), and ML frameworks.
  • Certified in cloud architecture (e.g., Azure Data Engineer) with hands-on experience in MLOps, CI/CD, and Kubernetes.
Why Join Us?

We foster a culture of inclusion, diversity, and flexibility. We care about your wellbeing, and we prioritise your safety in everything we do. You'll work alongside people who value your unique perspectives and contributions.

We offer generous discounts on DuluxGroup products and through our corporate partnerships, 20 weeks paid parental leave (primary carers) and 2 weeks paid partner leave available from the first day you start working with us, and market leading Learning and Development initiatives and genuine career pathways to accelerate your growth.

Key Responsibilities:
  • Design and implement end-to-end data and AI architectures including data lakes, warehouses, ML pipelines, and real-time analytics platforms.
  • Define and enforce architectural standards, best practices, and governance across data and AI systems.
  • Evaluate and select technologies for data ingestion, processing, storage, and AI model deployment.
  • Collaborate with engineering teams to integrate AI solutions into production environments and ensure data quality, lineage, security, and compliance.