Senior AI & Data Consultant - AI Product Safety

About the role

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.

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.

Requirements

• 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.

Pay

For work locations in Virginia: annual base salary range of $120,000 – $150,000 (per Virginia pay transparency statute).

Benefits

All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. Depending on the position and division, this job may also be eligible for Truist’s defined benefit pension plan, restricted stock units, and/or a deferred compensation plan.

Schedule

1st shift (United States of America)

Language Fluency

English (Required)

Employment Type

Regular