Opportunity Details

Head of Gen AI and Innovation
Posted: 03/24/2026
Client name: Client Name Text
Job Function: Technology Industry
Source: Source Text
Location: Singapore
Posted: 03/24/2026
Description

The Head of Generative AI and Innovation is responsible for leading the strategic development and implementation of cutting-edge AI solutions across the organization. This leadership position requires overseeing the Generative AI team to drive the integration of AI technologies into products, processes, and services. The role involves defining the vision and strategy for generative AI within the organization, aligning it with business objectives, and fostering opportunities for innovation and value creation through AI-enabled insights and solutions.

The primary responsibilities include leading cross-functional teams to design and deploy AI-driven solutions that address business challenges and developing an enterprise-wide Generative AI platform that is scalable and secure. This involves overseeing large-scale projects, ensuring that initiatives are technically feasible, within budget, and delivered on time. Additionally, the role includes building and managing a world-class AI team by attracting top talent, fostering a collaborative environment, and promoting continuous learning. Engaging with stakeholders to ensure alignment of AI solutions with business needs and maintaining partnerships with external entities for co-innovation are also crucial elements of this position. Compliance with AI ethics, data privacy, and governance standards is critical, alongside establishing performance metrics to measure the success of AI initiatives.

The ideal candidate should have a background in computer science, machine learning, data science, or a related field, with significant experience in AI leadership and innovation. At least ten years of experience in the AI/ML domain with a minimum of five years in a leadership role is required. A proven track record of delivering AI solutions in complex, high-impact environments is essential, as is experience managing cross-functional teams and large-scale projects. Technical expertise in machine learning, deep learning, NLP, and AI platforms, along with a strong understanding of how AI drives business value, is vital. The role may require occasional travel based on project needs.

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