Krishna Murari

Strategic Data Governance Lead with 15+ years of experience architecting and implementing robust enterprise data and AI governance frameworks. Proven expertise in driving data security, quality, and integrity across complex organizational landscapes. Adept at establishing scalable governance models, implementing AI registries, and fostering a data-driven culture that maximizes asset value while continuously mitigating strategic risk.

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.

Master of Science - Data Science - Liverpool John Moores University

Post Graduate Diploma - Data Science - International Institute of Information Technology (IIIT)

Post Graduate Diploma - Advanced Computing - CDAC-ACTS

Bachelor of Engineering - Rajiv Gandhi Proudyogiki Vishwavidyalaya (RGPV / RGTU)