Job Description
Join our pioneering team at Horizon Dynamics as we architect the future. We seek a visionary 2026 Innovation Futurist to lead strategic foresight initiatives at the intersection of emerging technologies and human evolution. This pivotal role demands a blend of analytical rigor and creative vision to shape our innovation roadmap for the next decade and beyond.
As a key architect of tomorrow's solutions, you'll collaborate with C-suite executives, R&D labs, and global thought leaders to identify paradigm-shifting opportunities. Our Austin-based headquarters offers an unparalleled environment for boundary-pushing work, with state-of-the-art facilities and a culture that celebrates intellectual curiosity and bold experimentation.
Responsibilities
- Analyze emerging technological trends (AI, quantum computing, biotechnology) and forecast their societal impact by 2026
- Develop strategic innovation roadmaps aligning with long-term organizational vision
- Lead cross-functional workshops to cultivate future-oriented thinking across departments
- Produce high-impact foresight reports and scenario-planning frameworks for executive decision-making
- Identify and cultivate partnerships with academic institutions, startups, and global innovation hubs
- Mentor junior futurists and drive adoption of foresight methodologies across the organization
- Represent Horizon Dynamics at global conferences and thought leadership forums
Qualifications
- Advanced degree in Futures Studies, Innovation Management, or related field (PhD preferred)
- Minimum 7 years in strategic foresight, innovation consulting, or technology research
- Proven track record of developing and implementing future-focused roadmaps
- Deep expertise in exponential technologies and their societal implications
- Exceptional analytical skills with ability to synthesize complex information
- Strong presentation skills with experience engaging C-level audiences
- Portfolio demonstrating published foresight work or scenario-planning projects
- Certification in futures methodologies (e.g., CFS, CFIP) highly desirable