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Renova Talent in Sydney, NSW, is seeking a Data Governance Manager to establish and embed a robust data governance framework across the organisation. This hands-on role partners with business, product, and technology teams to improve data quality, controls, and compliance while enabling strategic data initiatives.
You will work with the Head of Data and Technology, applying SQL, data profiling, metadata, and lineage concepts to ensure governance aligns with privacy and information security
An exciting opportunity has arisen to join a pioneering Fintech organisation during an important stage of growth and delivery. This is a hands-on role for a Data Governance Manager who will establish, embed, and continuously improve the organisation's data governance framework, standards, and practices.
Working closely with the Head of Data, Technology and Program Management and the broader Data and Technology Team, you will operate in an active, delivery-focused capacity. Rather than acting as a traditional assurance function, you will partner with business, product, and technology teams to improve data quality, controls, and compliance outcomes while enabling strategic data and innovation objectives.
You will have a strong understanding of data governance principles and frameworks, with proven experience implementing practical governance processes and controls. You are highly capable in data analysis and problem-solving, bringing hands-on experience with SQL, database concepts, and structured datasets.
You are comfortable performing data profiling and root-cause analysis, and you understand metadata, lineage, and master/reference data concepts. Experience operating within regulated, risk-sensitive, or compliance-focused environments is essential, and familiarity with tools such as Alteryx and Tableau is preferable.
You are an exceptional communicator with strong stakeholder engagement skills, capable of translating governance concepts into a practical and business-friendly manner.
You enjoy variety, can think strategically about data management, and are equally willing to work directly with datasets and systems to solve real-world problems.