Job Description
Shape the future of artificial intelligence at Nexus Innovations. We seek a visionary AI Strategy Director to architect our 2026 technology roadmap and lead cross-functional teams in implementing cutting-edge solutions. This executive role requires deep technical expertise paired with strategic business acumen to transform AI opportunities into measurable competitive advantages. You'll drive innovation while ensuring ethical AI governance and operational excellence.
Join our dynamic team at the intersection of technology and business strategy. We offer competitive compensation, comprehensive benefits, and the opportunity to influence how AI will reshape industries by 2026. If you're passionate about leveraging machine learning, data science, and emerging technologies to solve complex challenges, we encourage you to apply.
Responsibilities
- Develop and execute comprehensive AI strategy aligned with 2026 business objectives and market trends
- Lead cross-functional teams of data scientists, engineers, and product specialists in AI solution implementation
- Establish ethical AI governance frameworks and ensure compliance with evolving regulations
- Identify and prioritize AI opportunities across business units to drive revenue growth and operational efficiency
- Stay ahead of emerging AI technologies (LLMs, generative AI, quantum computing) and assess their strategic impact
- Present AI initiatives and progress to executive leadership and board stakeholders
- Mentor AI talent and foster a culture of innovation within the organization
Qualifications
- Master's degree in Computer Science, Data Science, or related field; PhD preferred
- 10+ years of progressive AI/ML experience with 5+ years in strategic leadership
- Proven track record of developing and implementing enterprise-level AI strategies
- Expertise in machine learning frameworks, natural language processing, and generative AI
- Strong business acumen with ability to translate technical concepts into strategic value
- Experience managing cross-functional teams and AI project lifecycles
- Deep understanding of AI ethics, bias mitigation, and responsible AI practices
- Excellent communication skills for presenting complex AI concepts to diverse stakeholders