Data Steward - Orica - Melbourne
(2024-10)
- Designed and rolled out Orica's multi-phase data governance roadmap, creating a single source of truth that made it much easier for different business units to find and trust their data.
- Built and ran Enterprise Data Governance Framework to ensure alignment with GDPR and the Australian Privacy Act, smoothly embedding data policies into everyday business and tech workflows.
- Stood up AI Governance initiative from scratch—setting up model registries, tracking training data lineage, and creating risk frameworks so the business could deploy AI safely and ethically.
- Managed end-to-end implementation of Alation Data Catalog, boosting team adoption by 50% by standardizing business glossary and making data lineage clearly visible.
- Set up automated PII classification and sensitivity tagging across data platforms (iEDW/BigQuery), which cut down manual compliance work by 40% and locked down sensitive data.
- Defined Critical Data Elements (CDEs) and built validation checks directly into data pipelines, catching issues early and cutting recurring data quality glitches by 25%.
- Created and scaled Global Data Stewardship Program from the ground up, mentoring over 10 data stewards and improving data ownership across the company by 30%.
- Established and chaired Data Governance Councils, bringing executives together to clear roadblocks, make decisions, and prioritize data projects.
- Helped shift the company toward a data-first culture by running practical training sessions and giving teams the tools they needed for secure, self-service analytics.
Data Governance Specialist - MUFG - Melbourne
(2022-11 - 2024-10)
- Partnered with the Data Governance Manager to design core framework, taking the lead on drafting and operationalizing the foundational policies and standards across the business.
- Assisted manager in shaping initial AI governance guidelines, while independently managing the data quality and ethical guardrails for first machine learning projects.
- Supported the manager in defining the long-term vision for data initiatives, helping put together the business cases and proposals needed to secure senior leadership buy-in.
- Took the lead on building and running data quality monitoring process, working directly with business units to track down and resolve critical data errors.
- Acted as the primary liaison between business stakeholders and IT, taking full ownership of translating complex user requirements into technical specs for engineering teams.
- Worked alongside manager to ensure regulatory compliance, while personally handling the hands-on execution of data retention policies and access controls.
- Collaborated with IT teams to embed automated validation checks into core databases, making sure data integrity stayed intact as information moved through pipelines.
Data Analytics Manager - JG KING Building Group - Melbourne
(2022-05 - 2022-11)
- Took full accountability for the quality and integrity of specific data domains, defining local data policies and making the final call on data access, security, and usage rules.
- Formulated practical techniques and validation checks for data collection to ensure that all incoming data was accurate, legitimate, and high-quality before it hit reporting systems.
- Designed and streamlined end-to-end data lifecycle processes—improving how we collected, analysed, accessed, and eventually archived data to reduce operational friction.
- Managed the complex migration of data from legacy systems over to modern stack, ensuring strict data quality standards throughout the move while delivering the project on time.
- Led core analytics projects from inception to delivery, which included building data models, preparing stakeholder presentations, and managing regular status communications across business units.
- Researched new technologies and identified opportunities to implement advanced statistics, machine learning, and AI within data pipelines to give the business predictive analytics capabilities.
- Partnered closely with data stewards and day-to-day business users to understand their data requirements, ensuring analytical outputs perfectly matched their operational needs.
Data Analyst - Catholic Church Insurance - Melbourne
(2021-11 - 2022-05)
- Collaborated closely with teams across the business to uncover their core operational challenges and used advanced data analysis techniques to solve them.
- Built interactive Power BI dashboards and data quality reports that turned messy datasets into clear, visual insights for decision-makers.
- Evaluated internal data systems to spot inefficiencies or inaccuracies, then designed the step-by-step logic for cleaning and processing that data.
- Handled the heavy lifting of data analysis and translated complex technical findings into plain, actionable advice for business leaders.
- Managed the testing and data analysis required to move static and transactional data out of legacy systems, running data quality checks and reconciliation audits.
- Oversaw cross-program data assurance to make sure data elements mapped correctly and matched perfectly between source and target systems.
- Partnered with the Data Governance Officer to help draft data standards and business rules, while helping evaluate and select the best software.
Code Compliance, Senior Data Analyst - Australian Financial Complaints Authority (AFCA) - Melbourne
(2019-11 - 2021-10)
- Managed the full data lifecycle for major projects—taking ownership of how we collected, processed, and analysed large datasets, all the way through to secure archiving.
- Used data modelling, forecasting, and trend analysis to uncover strategic insights, helping the business identify new opportunities and areas for continuous improvement.
- Teamed up with IT and external vendors to keep data management tech stack running smoothly, focusing on automated data lineage and metadata.
