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Information Technology 🏢 Full Time ⭐️ Verified

2026 Strategic Futurist

Horizon Dynamics Group
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join Horizon Dynamics Group as a 2026 Strategic Futurist and architect tomorrow's innovations today. We're seeking a visionary thinker to decode emerging trends and transform foresight into actionable strategies that will redefine industries by 2026. This role blends cutting-edge research with executive leadership to position our clients at the forefront of technological and societal evolution.

In this pivotal position, you'll collaborate with C-suite executives across Fortune 500 companies to anticipate paradigm shifts in AI, biotechnology, sustainable energy, and quantum computing. Your insights will directly shape multi-billion dollar investment decisions and product roadmaps for the next decade.

Responsibilities

  • Lead horizon scanning initiatives to identify disruptive technologies and market signals through 2026
  • Develop strategic foresight frameworks for clients in finance, healthcare, and manufacturing sectors
  • Produce scenario-planning reports quantifying economic impact of emerging trends
  • Facilitate executive workshops on future-proofing organizational resilience
  • Build predictive models for workforce automation and human-AI collaboration
  • Present findings to investor boards and industry consortiums

Qualifications

  • PhD or Master's degree in Futures Studies, Systems Thinking, or related quantitative field
  • 8+ years in strategic foresight, innovation consulting, or tech research
  • Published work on exponential technologies or socio-technical transformation
  • Expertise in scenario planning methodologies and trend analysis tools
  • Deep understanding of AI governance, biotech ethics, and climate tech
  • Proven ability to translate complex futures into executive-ready strategies

Required Skills

Strategic Foresight Scenario Planning Trend Analysis Systems Thinking AI Ethics Biotechnology Quantum Computing Executive Communication Predictive Modeling

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