VP, AI Risk & Resilience Engineering

Goldman Sachs

Dallas (TX)

On-site

USD 180,000 - 280,000

Full time

4 days ago
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Job summary

Goldman Sachs is seeking a Vice President for Risk, Technology Operational Risk – CORE Engineering Risk in Dallas. You will oversee AI resilience, third-party risk, and data governance across AI platforms and agentic systems, ensuring adherence to resilience, data, and vendor controls.

Strong experience in operational risk disciplines and AI/ML governance is required. The role emphasizes mapping AI-dependent assets, coordinating with engineering and business stakeholders, and driving

Qualifications

  • 7+ years of relevant experience in operational risk, resilience/BCP, third-party risk management, or data governance.
  • Strong understanding of AI/ML architecture and governance (foundation models, LLMs, RAG, MCP servers).
  • Relevant certifications such as CISA, CISM, CBCP/MBCI, CTPRP, or related AI/ML certifications.

Responsibilities

  • Identify, monitor, and analyze AI system resilience risks, outages, and data drift.
  • Oversee continuity planning and fallback strategies for AI-enabled IBs and services.
  • Assess third-party AI services, model validation, and vendor risk controls.
  • Ensure data governance and quality controls across AI pipelines and datasets.

Skills

AI risk management
Operational resilience
Data governance
Third-party risk management
Communication skills

Education

Bachelor's Degree in Computer Science/Cybersecurity/Business & Technology Management/Finance/Data Science or related

Job description

Goldman Sachs is seeking a Vice President for Risk, Technology Operational Risk – CORE Engineering Risk in Dallas. You will oversee AI resilience, third-party risk, and data governance across AI platforms and agentic systems, ensuring adherence to resilience, data, and vendor controls.

Strong experience in operational risk disciplines and AI/ML governance is required. The role emphasizes mapping AI-dependent assets, coordinating with engineering and business stakeholders, and driving

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