Julia Olmstead is a data and AI governance expert who helps organizations transform trusted data into measurable business value. As a Senior Customer Engineer at Collibra, she works with enterprise and public sector leaders to establish the governance foundations required to scale AI responsibly, improve data quality, and drive better business outcomes.
Julia has supported large-scale data and AI initiatives across government, financial services, telecommunications, healthcare, utilities, and higher education. Her expertise spans data governance, AI governance, metadata management, lineage, data quality, regulatory compliance, and data products. She is particularly passionate about helping organizations move beyond governance as a compliance exercise and toward a data-centric approach that accelerates innovation while managing risk.
A frequent speaker and workshop facilitator, Julia focuses on the practical realities of governing modern AI systems, particularly where data, context, prompts, agents, and business processes are evolving as rapidly as the models themselves. Her work helps organizations create transparency into the data powering AI, establish trust in AI outcomes, and align governance initiatives with strategic business objectives.
