Strategy, engineering and governance covering the modern data and AI stack. Experienced in growing and leading data and insights teams in the delivery of platforms, products and business outcomes - with enterprise - and with professional consultancy services.Champion of empowered teams centred on setting strategic context; owning outcomes; continuous learning; and collaborative ways of working. Strong background of balancing customer, commercial and technical results with developing people and culture.Curriculum / content creator for RMIT’s ‘Master of Data Science Strategy and Leadership’ degree as well as 'Data Privacy Management' course.Data & Analytics Leadership • Built data practice featuring integration of 40+ engineers, analysts and data science • Led national professional services data practice of 50+ consultants, engineers and analysts • Program delivery of cross-functional groups to implement data platforms and reporting • Initiated enterprise data governance operating model • LLM discovery and prototyping • Direct engagement with AWS; Microsoft; Databricks; Snowflake; and dbtData Infrastructure Transformations • Cloud adoption and migration of data architecture applications with AWS and Azure • Real-time financial reporting with Salesforce CRM integration and data warehouse modernisation • BI reporting • Customer analytics platform for consolidated data science sandbox and predictive insights • Machine learning framework integration for event-driven customer recommendationsData-as-a-Product • Location and industry-based business activity aggregation API • Event-driven reporting and recommendation API • Synthetic content generation API • Automated data classification API • ML-generated taxonomiesData Governance • Enterprise education and awareness programs • Formalised information quality framework • Data collection and sharing controls and compliance • Data privacy and ethical embeddings
Listed skills include Machine Learning, Agile Methodologies, Search, Analytics, and 42 others.