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2026 Futurist Strategist

Nexus Horizon Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join Nexus Horizon Labs at the forefront of tomorrow's revolution. We're seeking a visionary 2026 Futurist Strategist to architect the next wave of technological and societal transformation. This role blends predictive analytics, emerging tech expertise, and human-centric design to shape how businesses and communities evolve in the coming decade. You'll collaborate with C-suite executives, lead cross-disciplinary innovation sprints, and pioneer frameworks for navigating exponential change. If you thrive at the intersection of quantum computing, biotech, and sustainable systems, this is your launchpad into the future.

Responsibilities

  • Develop 5-10 year strategic roadmaps for Fortune 500 clients using predictive modeling and scenario planning
  • Lead immersive foresight workshops identifying disruption vectors in AI, climate tech, and neuro interfaces
  • Design ethical frameworks for autonomous systems and human-machine symbiosis
  • Author thought leadership reports published at Davos and World Economic Forums
  • Manage a $2M innovation portfolio testing exponential technologies
  • Mentor PhD researchers in computational futurism and complex systems theory

Qualifications

  • PhD in Futures Studies, Systems Engineering, or Computational Social Science
  • 10+ years experience in strategic foresight at top-tier consultancies (e.g., McKinsey BCG, Deloitte)
  • Published peer-reviewed research on technological singularity or climate adaptation
  • Expertise in Monte Carlo simulations and agent-based modeling tools
  • Portfolio demonstrating 3+ commercialized future-proofing strategies
  • Deep knowledge of quantum computing architectures and synthetic biology
  • Certification in Global Business Network's Strategic Foresight methodology

Required Skills

strategic foresight predictive modeling quantum computing systems thinking scenario planning ethical AI biotechnology innovation management complex systems Monte Carlo simulations

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