Director of AI Transformation

CONFIDENTIAL Scovai, a pioneering force in the Talent Acquisition & Recruiting sector, is seeking a visionary Director of AI Transformation to lead the company's enterprise-wide artificial intelligence strategy. Scovai is redefining how organizations build and manage their workforce through a transparent, auditable AI-powered talent platform—and this role sits at the heart of that mission. Reporting directly to the C-suite, you will own the end-to-end AI transformation roadmap, driving the adoption of intelligent automation, predictive analytics, and generative AI capabilities across the organization and its product ecosystem.

As the head of the Data & Artificial Intelligence department, you will lead cross-functional teams of data scientists, ML engineers, and AI specialists, translating complex technical capabilities into measurable business outcomes. You will champion responsible AI governance, ensure scalable MLOps practices, and partner with executive stakeholders to embed AI-driven decision-making into every layer of the business. Your work will directly shape how Scovai's platform evolves—enhancing recruitment intelligence, workforce augmentation, and employee lifecycle management at scale.

This is a rare opportunity to define the AI agenda at a high-growth company that genuinely believes in combining algorithmic precision with human judgment. If you have a proven track record of deploying AI at scale in complex, fast-moving environments and the executive presence to inspire both technical teams and board-level stakeholders, Scovai offers the platform, the mandate, and the ambition to match yours. This is a hybrid role based in New York.
Deep domain expertise in Talent Acquisition/HRTech with hands-on experience integrating HRIS and ATS platforms (e.g., Workday, Greenhouse, iCIMS) Proven track record commercializing AI capabilities within enterprise SaaS products and driving measurable revenue or customer adoption Experience leading enterprise change management, learning programs, and product adoption initiatives to drive cross-functional alignment Strong knowledge of privacy, employment-law implications, and regulatory compliance for AI in hiring contexts (e.g., GDPR, EEOC/OFCCP considerations) Proven ability to build and manage partner ecosystems, vendor negotiations, and strategic alliances with AI/cloud providers
Nice to have
Hands-on experience with LLM platforms and generative AI tooling (e.g., OpenAI, Anthropic, Cohere)
MLOps practices and model lifecycle management at scale
Cloud AI services expertise across AWS, GCP, or Azure
Change management experience in large or complex organizational transformations
Background in HR tech, talent acquisition, or workforce management platforms