Job Description
Join Nexus Global Solutions as we architect the future of AI-driven business transformation for 2026. We're seeking a visionary AI Strategy Director to lead cross-functional initiatives that will redefine how enterprises leverage artificial intelligence in the next decade. This role combines cutting-edge technical expertise with executive leadership to shape our AI roadmap and drive measurable impact.
At Nexus, we foster an environment where innovation meets execution. You'll collaborate with C-suite executives, research labs, and product teams to develop scalable AI strategies that align with market trends and emerging technologies. Our team operates at the intersection of quantum computing, neural networks, and predictive analytics to create solutions that solve tomorrow's challenges today.
Responsibilities
- Develop and execute multi-year AI strategy aligned with 2026 technological landscape and business objectives
- Lead cross-functional teams of AI researchers, engineers, and domain experts in implementing cutting-edge solutions
- Identify emerging AI trends and opportunities in quantum computing, generative AI, and autonomous systems
- Present AI vision and progress to executive stakeholders and industry conferences
- Establish ethical AI frameworks and governance protocols for enterprise-wide deployment
- Drive innovation through partnerships with leading academic institutions and technology providers
- Measure and communicate ROI of AI initiatives across business units
Qualifications
- 15+ years in AI/ML strategy with 5+ years in executive leadership roles
- Proven track record of deploying enterprise-scale AI solutions generating $10M+ impact
- Deep expertise in quantum machine learning, generative AI architectures, and predictive analytics
- Strong background in AI ethics, bias mitigation, and responsible AI frameworks
- Experience presenting complex technical concepts to C-suite and board audiences
- PhD in Computer Science, AI, or related field or equivalent industry innovation
- Published research in top-tier AI conferences (NeurIPS, ICML, CVPR)