Job Description
Step into the future today as our 2026 Futurist Strategist at Innovate Tomorrow Inc. We're seeking visionary minds to decode tomorrow's landscape today. Join our elite team of futurists shaping how businesses, societies, and technologies will evolve by 2026. You'll pioneer breakthrough strategies at the intersection of AI, biotech, and sustainable innovation, driving our clients ahead of the curve in an exponential world.
This role demands radical imagination paired with analytical rigor. You'll collaborate with C-suite executives across Fortune 500 companies to develop adaptive roadmaps for disruptive futures. If you thrive at the bleeding edge of possibility and want to architect the next decade of human progress, apply now.
Responsibilities
- Forecast and model emerging technological, economic, and social trends impacting 2026+ landscapes
- Develop scenario-based strategic frameworks for Fortune 500 clients navigating exponential change
- Lead cross-functional workshops on future-proofing business models and workforce transformation
- Produce high-impact trend reports and whitepapers published in industry-leading journals
- Build and maintain a global network of futurists, technologists, and policy influencers
- Advise executive leadership on existential risks and opportunities in quantum computing and AI ethics
- Design immersive foresight simulations for strategic decision-making
Qualifications
- Master's degree in Futures Studies, Strategic Foresight, Technology Forecasting, or equivalent experience
- 7+ years in strategic planning, innovation consulting, or futurism with Fortune 500 exposure
- Proven expertise in horizon scanning, scenario planning, and trend analysis methodologies
- Deep knowledge of emerging tech: quantum computing, AGI, synthetic biology, climate tech
- Exceptional storytelling and presentation skills for complex future concepts
- Published thought leadership in futurism or strategic foresight publications
- Proficiency in foresight tools: Delphi method, cross-impact matrices, causal layered analysis