About The Position

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. The role oversees AI product safety across design, development, deployment, monitoring, and change management; conducts safety assessments; supports controls covering transparency, explainability, fairness, human oversight, data quality, privacy, security, resiliency, monitoring, and accountability; and maintains assessment, decision, risk, evidence, procedure, playbook, and reporting artifacts. It also monitors safety metrics, control effectiveness, emerging risks, and remediation actions, advises teams on safe AI design and governance, leads cross-functional initiatives, reviews deliverables, and coaches teams on consistent practices.

Requirements

  • Bachelor’s degree in Computer Science, Data Science, AI, Software Engineering, or a related field.
  • Minimum of 7 years of professional experience in AI and data.
  • Strong knowledge of AI models, data architectures, and analytics methodologies.

Nice To Haves

  • 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.

Responsibilities

  • 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.

Benefits

  • Medical insurance
  • Dental insurance
  • Vision insurance
  • Life insurance
  • Disability insurance
  • Tax-preferred savings accounts
  • 401(k) plan
  • At least 10 days of vacation during the first year, prorated based on hire date and full-time or part-time status
  • 10 sick days, prorated
  • Paid holidays
  • Depending on position and division, eligibility for a defined benefit pension plan, restricted stock units, and/or a deferred compensation plan
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