As the enterprise leader for these four critical disciplines, you will partner with executive leadership, engineering organizations, product groups, Legal, Regulatory Affairs, and business teams to embed quality, safety, security, and responsible AI throughout the product and technology lifecycle. A core part of Responsible AI governance will be establishing effective data governance for AI, recognizing that trustworthy outcomes depend on the quality, provenance, ownership, protection, permitted use, and ongoing stewardship of the data used to train, validate, deploy, and monitor AI systems.