Job Description
Are you ready to define the technological horizon for 2026? Nexus Horizon is looking for a visionary AI Strategy Lead to spearhead our next-gen initiatives.
In this pivotal role, you will bridge the gap between cutting-edge artificial intelligence research and scalable enterprise solutions. As we look toward the future, your expertise will be critical in mapping out the AI landscape for the upcoming years, ensuring our clients remain at the forefront of innovation.
Why join Nexus Horizon?
- Work with a team dedicated to shaping the future.
- Competitive compensation and equity package.
- Flexible remote-first culture.
We are not just building software; we are architecting the future.
Responsibilities
- Define the 2026 AI Roadmap: Lead the strategic vision for AI integration, identifying key trends and opportunities for the upcoming years.
- Lead R&D Initiatives: Oversee research and development projects focused on generative AI, predictive analytics, and automation.
- Stakeholder Management: Translate complex technical concepts into actionable business strategies for C-level executives and product managers.
- Ethical AI Governance: Establish frameworks to ensure AI systems are ethical, transparent, and compliant with global standards.
- Cross-Functional Collaboration: Partner with engineering, product, and design teams to implement AI-driven solutions.
- Market Analysis: Conduct deep-dive analysis on emerging AI technologies to maintain a competitive edge.
Qualifications
- Strategic Vision: 10+ years of experience in technology strategy, with at least 5 years specifically in AI or Machine Learning leadership.
- Technical Proficiency: Deep understanding of machine learning algorithms, neural networks, and data architecture.
- Leadership: Proven track record of leading high-performance teams and managing cross-functional projects.
- Communication: Exceptional ability to communicate complex technical ideas to non-technical stakeholders.
- Adaptability: Ability to thrive in a fast-paced, innovative environment with a focus on 2026 and beyond.
- Education: Bachelor’s degree in Computer Science, Data Science, or related field; MBA preferred.