Job Description
Join Horizon Dynamics at the forefront of tomorrow's transformation. We seek a visionary 2026 Strategic Futurist to decode emerging trends, design actionable roadmaps, and position our organization as an industry pioneer. This pivotal role blends cutting-edge research with executive strategy to prepare our enterprise for the technological, environmental, and societal shifts reshaping 2026 and beyond.
As a key architect of our future-focused initiatives, you'll collaborate with C-suite executives, lead cross-functional innovation sprints, and deliver data-driven foresight that shapes multi-year business strategy. If you thrive at the intersection of technology, sustainability, and human behavior, and possess an uncanny ability to anticipate tomorrow's opportunities, this is your moment to define the future.
Responsibilities
- Lead horizon scanning and trend analysis across AI, climate tech, and biotechnology sectors
- Develop 2026 strategic roadmaps with quantifiable KPIs and implementation milestones
- Facilitate executive workshops on scenario planning and risk mitigation for 2026+ landscapes
- Produce quarterly foresight briefings translating complex futures into strategic imperatives
- Champion sustainability and ethical frameworks in long-term technology adoption
- Build and maintain an ecosystem of futurist partners across academia and industry
- Drive innovation sprints to prototype solutions for 2026 market disruptions
Qualifications
- Master's degree in Futures Studies, Strategic Planning, or related field (PhD preferred)
- 5+ years in strategic foresight, innovation consulting, or executive planning
- Proven expertise in trend analysis and scenario development methodologies
- Deep knowledge of emerging tech (AI, quantum computing, synthetic biology) and climate economics
- Exceptional presentation skills with executive stakeholders
- Published thought leadership in future-focused publications
- Certification in Strategic Foresight or Futures Studies
- Portfolio demonstrating 2020+ trend predictions with measurable outcomes