Data Innovation Lead

4 days ago

Sydney, New South Wales, Australia beBeeDataStrategist Full time $120,000 - $150,000
Senior Data Strategist

We are seeking a skilled Senior Data Strategist to play a key role in our organisation.

The ideal candidate will have a strong background in data science, engineering, and business acumen. They will lead stakeholder workshops, design scalable data models, develop user stories, conduct advanced data analysis, estimate project timelines, provide post-deployment support, and oversee data definitions.

This is an exciting opportunity for someone who enjoys working with AI techniques, machine learning, and natural language processing. The successful candidate will have hands-on experience with Vertex AI, PyTorch/TensorFlow, LangChain, LlamaIndex, and orchestration APIs.

The Senior Data Strategist will collaborate with the data product team to maintain data security, integrity, and compliance. They will be responsible for building and integrating AI agents into production environments and business workflows.

We offer a competitive package to the right candidate. If you have a passion for data-driven decision-making and want to make a real impact, please apply.

Responsibilities:

  • Design and document scalable data models using SQL and DBT
  • Develop user stories and customer personas to guide data product development
  • Conduct advanced data analysis using AI techniques to support strategic decisions
  • Estimate project timelines and resources, collaborating with delivery leads for efficient execution
  • Provide post-deployment support to ensure data solutions remain effective and responsive
  • Oversee data definitions and classifications to ensure compliance with governance standards
  • Collaborate with the data product team to maintain data security, integrity, and compliance

Requirements:

  • A blend of AI expertise, data science proficiency, and engineering deployment skills
  • Proven experience in data scientist role with experience in complex data products
  • Experience building and activating AI models for decisioning, optimisation, and automation
  • Familiarity with MLOps, CI/CD pipelines, and cloud infrastructure (e.g., GCP, Terraform, Kubernetes)
  • Capability to build and integrate AI agents into production environments and business workflows
  • Advanced proficiency in machine learning, deep learning, natural language processing
  • Strong command of SQL, BigQuery, and DBT for data engineering
  • Strong analytical skills with the ability to translate data into strategic outcomes
  • Proven leadership in stakeholder engagement and workshop facilitation
  • Excellent communication skills for conveying complex data concepts
  • Adaptability and problem-solving in dynamic environments
  • Bachelor's degree or higher in Data Science, Computer Science, Engineering, or relevant field experience

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