•The AI Lead is responsible for defining and executing the organization’s artificial intelligence strategy, ensuring AI initiatives align with business objectives, digital transformation priorities, and measurable value creation. The role identifies high-impact use cases and translates them into scalable AI-driven solutions across business functions.
•This position leads the end-to-end AI lifecycle, including use case identification, data strategy alignment, model development oversight, deployment governance, and performance monitoring. It ensures AI solutions are secure, ethical, compliant, and integrated with enterprise architecture and operational systems.
•Strategically, the AI Lead drives innovation by embedding advanced analytics, machine learning, and automation capabilities into core business processes. The role builds internal AI capabilities, establishes governance frameworks for responsible AI adoption, and positions artificial intelligence as a competitive differentiator that enhances efficiency, decision-making, and long-term organizational growth.
Requirements
•Current Role: AI Lead / Head of AI)Experience: 10–15 years total; 5–8+ years leading AI/Data teams with proven enterprise-scale delivery across multiple business units/industries
•Education: Bachelor’s in Computer Science / Engineering / Data Science; MBA or equivalent business exposure preferred; cloud/AI certifications (AWS/Azure/GCP) advantageous
•Track Record: Delivered measurable AI impact (EBITDA uplift, cost optimization), scaled cross-business use cases, built AI platforms/CoE, and driven adoption at C-level
•Leadership & Governance: Strong stakeholder influence (C-suite), with hands-on experience in AI governance, risk, compliance, and building high-performing AI teams and ecosystems
Summary
Define and execute the organization's AI strategy, leading the end-to-end AI lifecycle from use case identification to deployment governance. Requires 10–15 years of experience including 5–8+ years leading AI/Data teams, a Bachelor's in Computer Science, Engineering or Data Science, and C-suite stakeholder influence.
Responsibilities
Define and execute AI strategy; lead end-to-end AI lifecycle; embed analytics/ML/automation into business processes; build internal AI capabilities; establish AI governance frameworks
Qualifications
10–15 years total experience; 5–8+ years leading AI/Data teams; Bachelor's in Computer Science/Engineering/Data Science; MBA or equivalent preferred; cloud/AI certifications advantageous; measurable AI impact track record; C-suite stakeholder influence
Education requirements
Bachelor's in Computer Science / Engineering / Data Science; MBA or equivalent business exposure preferred; cloud/AI certifications advantageous
Experience requirements
10–15 years total; 5–8+ years leading AI/Data teams with proven enterprise-scale delivery across multiple business units/industries