Head of Artificial Intelligence

Job Description

Responsibilities • Strategic Leadership & Vision • Define AI Roadmap: Craft a comprehensive enterprise-wide AI strategy and vision that aligns with the company's long-term objectives. • Identify Opportunities: Partner with C-level executives to identify high-impact use cases where AI can solve business problems or create new revenue streams. • Business Alignment: Ensure all AI initiatives deliver measurable value, defining key performance indicators (KPIs) to track success. • Team Management & Development • Build High-Performing Teams: Recruit and manage cross-functional teams, including data scientists, machine learning engineers, and researchers. • Mentorship: Provide technical leadership and professional guidance to team members, fostering a culture of continuous learning and innovation. • Cross-Functional Collaboration: Coordinate with IT, product, and engineering teams to integrate AI solutions into existing workflows and products. • Technical Oversight & Innovation • Oversee Development: Lead the design, prototyping, and deployment of advanced AI/ML models (e.g., NLP, Generative AI, Computer Vision). • Technology Selection: Evaluate and select appropriate AI platforms, vendors, and large language models (LLMs) for organizational use. • Standardization: Establish MLOps standards, model lifecycle practices, and quality assurance processes for production environments. • Governance, Ethics & Risk Management • Ethical AI: Oversee the design of policies for safe and responsible AI use, addressing issues like bias, fairness, and transparency. • Regulatory Compliance: Ensure all AI activities adhere to data protection regulations (e.g., GDPR, CCPA) and industry-specific standards. • Risk Mitigation: Manage the legal, operational, and security risks associated with deploying AI at scale. • Advocacy & External Representation • Thought Leadership: Act as the company's ambassador in the AI community and represent the organization at industry conferences. • Literacy Programs: Drive "AI literacy" across the organization, educating non-technical stakeholders on the capabilities and limitations of AI. • Partnership Management: Build strategic partnerships with academic institutions, research organizations, and technology vendors. Show More