Job Description
Join Horizon Dynamics Inc. at the forefront of tomorrow's evolution as we seek a visionary Senior Futurist Strategist to decode emerging trends and architect transformative roadmaps for 2026 and beyond. This pivotal role blends technological foresight with human-centric innovation to prepare our organization for exponential change. You'll collaborate with C-suite executives to translate complex signals into actionable strategies, ensuring we lead rather than react to tomorrow's disruptions. Our Austin hub offers a dynamic environment where cutting-edge research meets real-world application, supported by a culture that champions curiosity and bold thinking.
Responsibilities
- Analyze global megatrends (AI, biotech, climate tech, quantum computing) to identify high-impact opportunities for 2026+
- Develop scenario-based strategic frameworks for organizational resilience and market positioning
- Lead cross-functional workshops to align stakeholders on future-focused innovation priorities
- Produce visionary whitepapers and executive briefings on disruptive technologies and societal shifts
- Partner with R&D to prototype future-proof solutions aligned with long-term vision
- Maintain a global network of futurists, scientists, and industry pioneers for intelligence gathering
- Quantify future risks/opportunities through predictive modeling and horizon scanning
Qualifications
- 10+ years in strategic foresight, innovation consulting, or future studies with Fortune 500 exposure
- Deep expertise in exponential technologies and their societal implications
- Proven track record of translating future scenarios into executable business strategies
- Advanced degree in Futures Studies, Technology Forecasting, or related field
- Exceptional storytelling skills with experience presenting to executive audiences
- Strong data literacy with experience in trend analysis and predictive modeling
- Portfolio demonstrating published future-focused research or strategic frameworks
- Experience leading cross-cultural teams in ambiguous, rapidly evolving environments