Director of Data Science with over a decade building, deploying, and governing machine learning systems at scale at Meta, with direct fluency in AI risk frameworks, regulatory compliance, and SEC audit processes.
Niki Reid is a Director of Data Science with over a decade of experience building, deploying, and governing machine learning systems at scale at Meta. She has led teams responsible for ML model development, AI risk frameworks, regulatory compliance, and internal audit processes including SEC filing metrics, giving her rare fluency across both the technical and regulatory dimensions of AI.
Niki holds a Master's degree in Economics and brings a rigorous analytical framework to questions of risk, governance, and organizational accountability. Her work sits at the intersection of AI systems, financial compliance, and enterprise risk management. She is particularly well suited to audit, risk, and technology committees navigating the evolving landscape of AI disclosure requirements and regulatory scrutiny.
She is based in South Florida.
Frameworks for responsible AI at enterprise scale: model validation, deployment oversight, and incident response.
Firsthand experience with filing metrics, internal audit processes, and the regulatory posture public companies now require.
Decade of experience shipping ML products and infrastructure at one of the largest technology companies in the world.
Translating model risk, data risk, and regulatory risk into language audit committees and executives can act on.
Translating AI-related financial risk (model exposure, disclosure obligations, provisioning for regulatory change) into terms audit committees can evaluate and act on.
Boards benefit from someone who knows what execution actually looks like, not just what gets presented. I've shipped at scale and can stress-test the CTO's deck.
Currently in a period of focused study and preparation: pursuing NACD certification and completing Women on Boards. Email is the best way to reach me.