Job Description
Join Horizon Dynamics Inc. at the forefront of tomorrow's revolution. We seek a visionary 2026 Futurist Strategist to architect our next-generation innovation roadmap. This pivotal role combines cutting-edge foresight with actionable strategy, shaping how businesses navigate the exponential future. You'll collaborate with quantum computing teams, AI ethics councils, and sustainability pioneers to build resilient, human-centered systems for the post-2025 landscape.
What you'll achieve: Define horizon-scanning frameworks, lead cross-functional future labs, and deliver breakthrough insights that position our organization as the global benchmark for 2026 readiness. This isn't just a job—it's your chance to architect the future.
Responsibilities
- Develop and maintain 2026 technology and societal trend forecasts using predictive analytics and scenario modeling
- Design and lead cross-functional 'Future Labs' to prototype next-gen business models
- Create strategic roadmaps for quantum adoption, AI governance, and climate resilience initiatives
- Present foresight insights to C-suite executives and external stakeholders through compelling narratives
- Partner with R&D to translate future scenarios into actionable innovation pipelines
- Author thought leadership publications on exponential technology ethics and governance
- Monitor global regulatory shifts affecting 2026 technology landscapes
Qualifications
- 10+ years in strategic foresight, innovation consulting, or exponential technology strategy
- Deep expertise in at least two of: quantum computing, AGI governance, biotech ethics, or climate tech
- Proven track record of translating future scenarios into commercial roadmaps
- Advanced degree in Futures Studies, Systems Engineering, or equivalent experience
- Exceptional storytelling skills with executive-level presentation experience
- Published thought leadership on emerging technology implications
- Certification in Futures Methodology (e.g., CFCS) preferred
- Experience leading global cross-functional teams in ambiguous environments