Job Description
Join Nexus Innovations as we shape the technological landscape of 2026. We seek a visionary Futurist Technology Strategist to drive innovation across emerging domains including quantum computing, AI ethics, and sustainable tech infrastructure. This pivotal role requires blending foresight with actionable strategy to position our company at the forefront of tomorrow's digital revolution.
You'll collaborate with C-suite executives to develop 5-year technology roadmaps, identify paradigm-shifting opportunities, and mitigate future disruption risks. Our ideal candidate thrives at the intersection of science fiction and commercial reality, translating abstract possibilities into tangible business advantages.
Responsibilities
- Architect 2026-2030 technology adoption roadmaps for quantum computing, neuromorphic chips, and carbon-negative data centers
- Analyze emerging tech trends (Web4, bio-integrated interfaces, decentralized AI) to identify $100M+ market opportunities
- Lead scenario-planning workshops for quantum-resistant cryptography and AI regulatory frameworks
- Develop patent strategies for next-gen autonomous systems and energy-harvesting IoT networks
- Present quarterly tech disruption briefings to the board with quantitative impact models
- Partner with R&D to prototype 2026-viable solutions using 3D quantum simulation platforms
- Establish KPIs for measuring technology maturity against 2026 industry benchmarks
Qualifications
- 10+ years in technology strategy with proven experience forecasting 5+ year tech horizons
- Advanced degree in Computer Science, Physics, or Futures Studies (PhD preferred)
- Published research on quantum computing applications or AI governance frameworks
- Deep expertise in exponential technology curves (Moore's Law, S-curves)
- Portfolio demonstrating successful commercialization of emerging technologies
- Certification in Strategic Foresight (e.g., from University of Houston)
- Experience with scenario planning tools (e.g., Shell's scenarios, Delphi methods)
- Fluency in at least one programming language (Python/R) for trend modeling