Senior Director, AI

Fireblocks•New York, NY

11d•$240,000 - $325,000•Remote

About The Position

The world of digital assets is accelerating in speed, magnitude, and complexity, opening the door to new ways for leveraging the blockchain. Fireblocks’ platform and network provide the simplest and most secure way for companies to work with digital assets and it trusted by some of the largest financial institutions, banks, globally-recognized brands, and Web3 companies in the world, including BNY Mellon, BNP Paribas, ANZ Bank, Revolut, and thousands more. Fireblocks is seeking a visionary and experienced Senior Director of AI Transformation to lead our enterprise-wide AI strategy. Reporting directly to the CIO this high-impact leadership role will be instrumental in shaping and executing our AI strategy, and elevate business processes by designing innovative AI-driven solutions to increase productivity, reduce operational overhead, and unlock new value. The ideal candidate brings a strong background in business analysis, deep knowledge of emerging AI technologies, and a proven ability to translate strategy into scalable, secure, and measurable outcomes.

Requirements

9+ years of consistent achievement in driving business transformation, strategic advisory, and innovation.
Practical experience leading AI, Generative AI, and Agentic AI initiatives aimed at modernizing functions like People, Customer Operations, Sales, Finance, Legal, and Marketing.
Proven ability to lead multidisciplinary teams from ideation through to successful execution.
Exceptional communication, facilitation, and narrative-building capabilities tailored for both technical and business-oriented audiences.
Knowledgeable in applying design thinking techniques to foster innovation and solve complex challenges.
Proven experience with organizational change management strategies and frameworks for measuring business impact.

Responsibilities

Design future-state workflows using Generative and Agentic AI aligned with business goals, productivity outcomes and user needs.
Lead cross-functional workshops to identify, prioritize, and shape high-impact AI use cases.
Conduct deep business process analyses across departments (Sales, CustomerOps, Finance, IT, HR, etc.) to identify areas for automation, augmentation, or reimagination via AI.
Prioritize high-ROI opportunities for AI integration, with a focus on reducing repetitive manual tasks and improving business delivery.
Serve as the internal evangelist and subject matter expert for enterprise AI adoption
Apply AI and LLMs to reduce costs, improve process efficiency, and modernize legacy operations.
Build and lead a team of AI/ML engineers to develop scalable, production-ready solutions.
Guide the effective use of LLMs for tasks such as automation, summarization, classification, and decision support.
Secure stakeholder buy-in and drive commitment to AI-led change.
Deliver measurable improvements in productivity, operational cost reduction, and process velocity.
Partner with business and tech teams to define and execute implementation plans.
Design and execute a company-wide change management strategy for AI adoption, including training, communication, and stakeholder alignment.