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Senior AI/ML Product Strategist

3 weeks ago

Sydney, New South Wales, Australia beBeeDataStrategist Full time $150,000 - $200,000
Job Overview

We are seeking a visionary Data Strategist Leader to join our data-driven organization. This senior position shapes the AI/ML strategy and deploys value-accretive solutions across the business.

Responsibilities
  • Lead end-to-end accountability for the AI/ML data product lifecycle from requirements gathering and ideation to ongoing model maintenance and an enterprise-wide product roadmap.
  • Translate business objectives and pain points into technical requirements; act as a strategic advisor on value drivers and ROI for AI/ML initiatives.
  • Develop and implement the strategic roadmap for AI/ML initiatives across the organization, and manage a portfolio of initiatives aligned with strategic priorities and OKRs.
  • Develop assessment frameworks for AI/ML model deployment with measurable ROI across business and customer interactions.
  • Engage with executives and stakeholders as required, including preparation of papers and presentations.
  • Innovate and deploy cutting-edge AI/ML solutions by performing commercial assessments and leading design, development, and deployment.
  • Conduct vendor assessments to evaluate and recommend solutions, supporting buy/build/acquire decisions.
  • Ensure best practices in MLOps, model deployment, and lifecycle management to maintain high standards of performance, scalability, robustness, and reliability.
  • Manage data science initiative costs and develop comprehensive solution designs and implementation plans for AI/ML solutions.
  • Collaborate with cross-functional teams to operationalise AI/ML in business operations and processes.
Required Skills and Qualifications
  • Degree in Data Science, Computer Science, Machine Learning, Statistics or a related field; advanced degree preferred.
  • Extensive knowledge of the AI/ML lifecycle, including data collection, model development, deployment, and monitoring.
  • Experience with MLOps and AI/ML model management best practices.
  • Strong background in customer and marketing AI/ML use cases such as customer lifecycle management and content personalization.
  • Experience leading cross-functional teams across data engineering, data analytics, and data science.
  • Proficiency in Python, R, and SQL; experience with Cloud platforms (AWS, Azure).
  • Familiarity with AI/ML frameworks and tools such as PyTorch and TensorFlow.
  • Excellent problem-solving, strategic thinking, and creative/problem-solving abilities; strong communication and interpersonal skills with the ability to influence stakeholders at all levels.
Benefits
  • A vibrant and professional culture.
  • Flexible working arrangement to support work-life balance and collaboration.
  • Holistic wellbeing programs with 24/7 support, including medical, mental health, and financial wellbeing services.
  • Paid Parental Leave: generous time off for primary carers and up to weeks for secondary carers.
  • Loyalty Leave: additional days off each year after years of service.
  • Wellness initiatives focusing on psychological safety.