Job Description
Join Nexus Horizons Inc. at the forefront of tomorrow's innovation landscape. We're seeking a visionary 2026 Futurist Strategist to decode emerging technologies, anticipate societal shifts, and architect transformative roadmaps for Fortune 500 clients. This role blends deep technical acumen with strategic foresight to shape how businesses navigate the next paradigm of human-machine evolution.
Our ideal candidate thrives at the intersection of quantum computing, AI ethics, and biotech convergence. You'll partner with C-suite executives to develop actionable 5-year innovation blueprints while maintaining a pulse on geopolitical tech policies and sustainable tech adoption trends. This is your chance to influence the digital transformation of industries before they even realize they need it.
Responsibilities
- Architect 2026 technology adoption roadmaps for healthcare, logistics, and energy sectors
- Lead cross-functional workshops to identify disruptors in AI, quantum, and neurotech domains
- Produce annual 'Tech Horizon Scan' reports with predictive impact assessments
- Advolve Fortune 500 clients on metaverse strategy and decentralized governance models
- Develop ethical frameworks for autonomous systems and AI augmentation policies
- Coordinate with MIT Media Lab and Singularity University on emerging tech forecasting
- Design scenario-planning models for climate-tech and space-economy integration
Qualifications
- 7+ years in strategic foresight, innovation consulting, or emerging tech research
- Advanced degree in Futures Studies, Systems Engineering, or Computational Social Science
- Published work on quantum-AI convergence or neuro-symbolic computing
- Deep familiarity with DARPA/IARPA tech roadmaps and EU AI Act implications
- Proficiency in scenario planning tools (e.g., Causal Layered Analysis, Delphi method)
- Experience advising boards on exponential technology adoption strategies
- Portfolio demonstrating 3+ years of trend forecasting with 85%+ accuracy
- Fluency in Web3 protocols and decentralized identity frameworks