Senior AI & Data Consultant - AI Product Safety

Leads AI product safety oversight for AI-enabled solutions across the product lifecycle. Partners with product, technology, risk, compliance, privacy, security, legal, and business stakeholders to assess use cases, mitigate product safety risks, define control expectations, and translate AI governance requirements into practical implementation guidance. Essential Duties And Responsibilities Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time. • Lead AI product safety oversight across design, development, deployment, monitoring, and change management activities. • Partner with product, engineering, data science, model risk, legal, compliance, privacy, security, and business stakeholders to identify risks and define required controls. • Conduct AI product safety assessments, including intake, risk tiering, control readiness, documentation review, issue identification, and escalation. • Translate AI governance standards, regulatory expectations, and enterprise policies into product safety requirements and operating procedures. • Support controls for transparency, explainability, fairness, human oversight, data quality, privacy, security, resiliency, monitoring, and accountability. • Maintain AI product safety artifacts, including assessment templates, decision records, risk summaries, control evidence, procedures, playbooks, and reporting. • Monitor product safety metrics, control effectiveness, emerging risks, and remediation actions for deployed AI capabilities. • Advise teams on safe AI design patterns, risk mitigation strategies, approval readiness, and governance expectations. • Lead cross-functional AI product safety initiatives and review deliverables for quality, completeness, and standards alignment. • Provide coaching and guidance to promote consistent adoption of AI product safety and governance practices. Qualifications Required Qualifications The requirements listed below are representative of the knowledge, skill and/or ability required. • Bachelor’s degree in Computer Science, Data Science, AI, Software Engineering, or related field. • Minimum of 7 years of professional experience in AI and data. • Strong knowledge of AI models, data architectures, and analytics methodologies. Preferred Qualifications • Master’s degree in a relevant technical discipline. • Experience in AI product safety, responsible AI, model governance, technology risk, data governance, privacy, security, or compliance. • Familiarity with responsible AI principles and regulatory expectations • Experience engaging product, engineering, data science, risk, legal, compliance, privacy, security, and business stakeholders. • Experience in financial services or another highly regulated industry.