3 дня назад
AI Adoption Leader
190 000 - 260 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Adoption Leader (Generative AI/Financial Services): Embedding within enterprise organizations to set AI strategy, redesign operating models, identify high-impact use cases, and drive adoption with Claude. Focus on facilitating executive workshops, building enablement capabilities, and bridging AI implementation with governance, risk, and compliance requirements.
Location: New York, US
Salary: $190,000–$260,000 base salary per year, plus potential annual discretionary bonus
Company
AI builds and deploys production AI systems for complex enterprises and is a Preferred Anthropic Partner and Databricks consulting partner.
What you will do
- Embed within enterprise business units, especially financial services organizations, to audit operating models and redesign workflows around AI.
- Translate business challenges into prioritized AI use cases linked to measurable financial and operational KPIs.
- Design and facilitate executive strategy sessions, hands-on CoWork labs, and Claude prompt-engineering workshops.
- Build champion networks, prompt libraries, and communities of practice to support sustained AI adoption.
- Partner with engineers, risk, and compliance teams to align AI solutions with enterprise governance frameworks.
Requirements
- Experience in management consulting, technology advisory, or enterprise change transformation.
- Hands-on experience in financial services, including banking, capital markets, or insurance.
- Practical fluency with generative AI models, specifically Claude, including prompting and custom enterprise workflows.
- Executive presence and the ability to lead workshops, challenge senior stakeholders, and explain complex technology to non-technical audiences.
- Curiosity, first-principles thinking, and a focus on measurable business outcomes.
Culture & Benefits
- Preferred Anthropic Partner access, including partner collaboration, official training, and early access to unreleased capabilities.
- High-autonomy culture with lean teams and minimal management layers.
- Generous learning budget, dedicated research time, and access to state-of-the-art AI tools.
- Performance bonuses, comprehensive health coverage, generous paid time off, flexible holidays, parental leave, and a paid company shutdown during the last week of December.
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