Job Description
Join Nexus Horizons Group at the forefront of tomorrow's innovation. We're seeking a visionary 2026 Futures Research Lead to decode emerging trends and shape our strategic roadmap for the next decade. This role blends deep technological foresight with actionable business strategy, requiring an expert who thrives at the intersection of AI, sustainability, and human-centric design. You'll lead cross-functional teams to identify paradigm shifts, quantify market opportunities, and develop resilient frameworks for 2026 and beyond. Our Austin headquarters offers a dynamic environment where your insights will directly influence multi-billion dollar decisions.
Responsibilities
- Lead horizon scanning initiatives to identify disruptive technologies and societal shifts affecting 2026 business landscapes
- Develop quantitative forecasting models using AI-driven analytics to map industry evolution paths
- Collaborate with C-suite executives to integrate future-proofing strategies into annual business cycles
- Author thought leadership whitepapers and scenario-planning frameworks for board-level audiences
- Manage a global network of futurist researchers and academic partnerships
- Translate complex trend analysis into actionable product roadmaps and investment priorities
- Champion ethical innovation principles in all strategic foresight activities
Qualifications
- 10+ years in futures research, strategic foresight, or emerging technology consulting
- Advanced degree in Futures Studies, Systems Thinking, or related quantitative field
- Proven track record of developing multi-year strategic frameworks adopted by Fortune 500 companies
- Expertise in AI/ML applications for trend prediction and scenario modeling
- Deep knowledge of 2026-relevant domains: quantum computing, climate tech, neuro interfaces
- Exceptional communication skills for translating complex concepts to diverse stakeholders
- Published author in futurist journals or industry thought leadership platforms
- Certification in strategic foresight methodologies (e.g., CFS, WFS) preferred