Job Description
Join Horizon Innovations Group as a 2026 Futurist Strategist and architect the next frontier of human progress. We seek a visionary thinker to decode emerging trends, design transformative roadmaps, and position our organization at the intersection of technology and humanity. This role demands radical creativity, strategic foresight, and the ability to translate complex futures into actionable business strategies.
As a key member of our Innovation Lab, you'll collaborate with quantum computing researchers, neuroscientists, and sustainability pioneers to shape how humanity will live, work, and evolve by 2026. If you thrive at the nexus of science fiction and business reality, this is your moment to redefine tomorrow.
Responsibilities
- Develop 2026 strategic foresight frameworks by analyzing exponential technology trends (AI, biotech, quantum computing)
- Design cross-industry innovation roadmaps for climate resilience and human augmentation
- Lead scenario planning workshops with C-suite executives on societal transformation
- Produce trend reports with predictive modeling for geopolitical and technological shifts
- Partner with R&D teams to prototype next-gen human-machine interfaces
- Represent the company at global futurist summits and thought leadership forums
- Mentor cross-functional teams on anticipatory leadership methodologies
Qualifications
- Advanced degree in Futures Studies, Systems Thinking, or related field (PhD preferred)
- 8+ years in strategic foresight, innovation consulting, or tech R&D leadership
- Published work on exponential technology impacts (peer-reviewed journals or industry whitepapers)
- Proficiency in trend analysis tools (e.g., Gartner Hype Cycle, Deloitte Tech Trends)
- Deep expertise in at least two emerging domains: synthetic biology, quantum AI, or neurotech
- Experience designing and implementing organizational futures programs
- Exceptional storytelling abilities to communicate complex futures to diverse stakeholders
- Portfolio demonstrating 3+ future-strategy implementations with measurable outcomes