21 час назад
Director - Technology Risk Consulting - Artificial Intelligence and Emerging Technology (AI)
126 500 - 254 700$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Director - Technology Risk Consulting - Artificial Intelligence and Emerging Technology (AI): Leading client advisory and delivery for AI and emerging-technology risk, including governance, secure architectures, control frameworks, and production oversight, with an accent on GenAI/ML adoption, enterprise risk management, and risk-by-design. Focus on architecting secure RAG solutions, evaluating cloud and MLOps practices, building audit-ready controls, and driving executive-level delivery and sales.
Location: Chicago, United States
Salary: $126,500–$254,700 per year, plus discretionary bonus eligibility.
Company
provides professional services and technology risk consulting to middle-market clients globally.
What you will do
- Advise executives and boards on AI and emerging-technology risks across governance, ethics, security, privacy, model risk, and operational resilience.
- Lead GenAI and ML adoption decisions by translating business use cases into architectures, controls, and delivery roadmaps.
- Design and operationalize AI and technology risk frameworks across the data, training, evaluation, deployment, monitoring, and change-management lifecycle.
- Architect secure, scalable, and governable AI-enabled solutions, including GenAI and RAG patterns.
- Evaluate SDLC and MLOps practices, including cloud landing zones, APIs, data pipelines, CI/CD, model registries, and deployment strategies.
- Lead client engagements, delivery governance, team development, proposals, executive workshops, and follow-on sales opportunities.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, Risk, or a related discipline, or equivalent practical experience.
- 8–10+ years leading technology risk and/or AI engineering delivery in consulting or industry.
- Experience owning large client programs and leading delivery across risk, data science, engineering, and security functions.
- Job-relevant certifications, such as Azure, AWS, or AI certifications.
- Strong knowledge of AI/ML, GenAI, LLMs, RAG, evaluation, safety, cloud and data architecture, SDLC, and MLOps/LLMOps.
- Executive-level communication skills and the ability to translate engineering, risk, regulatory, and business requirements into implementable solutions.
Nice to have
- Proven delivery sales experience, including pursuit shaping, solutioning, pricing input, and executive presentations.
- Experience with IaC, observability, model registries, feature stores, and policy-as-code.
Culture & Benefits
- Full-time employment with a competitive benefits and compensation package.
- Flexible scheduling to help balance personal demands while serving clients.
- Discretionary bonus based on firm and individual performance.
- Equal-opportunity workplace with reasonable accommodation available during recruitment.
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