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Futurist Strategist - 2026 Vision Lead

Horizon Dynamics Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Join Horizon Dynamics Inc. at the forefront of tomorrow's landscape as we shape the future of 2026. We're seeking a visionary Futurist Strategist to decode emerging trends, design next-generation business models, and lead our innovation roadmap. This role requires a blend of analytical rigor and creative foresight to transform possibilities into actionable strategies that define the next decade.

Responsibilities

  • Analyze global megatrends (AI, quantum computing, climate resilience) to map 2026 technological and societal shifts
  • Develop scenario-planning frameworks for C-suite executives across Fortune 500 clients
  • Lead cross-functional workshops to co-create future-state business models and value propositions
  • Produce forward-looking whitepapers and trend reports with 5-year predictive horizons
  • Partner with R&D teams to prototype and validate emerging technology applications
  • Represent company at Davos, SXSW, and other future-focused global forums

Qualifications

  • Master's degree in Futures Studies, Strategic Foresight, or related field (PhD preferred)
  • 8+ years in strategic consulting or corporate innovation with proven 2026+ scenario development
  • Expertise in trend analysis using tools like Delphi methods, horizon scanning, and causal layered analysis
  • Published thought leadership in peer-reviewed futures journals or top-tier business publications
  • Deep understanding of exponential technologies (AI, biotech, neurotech) and their societal impacts
  • Exceptional storytelling skills to translate complex futures into compelling narratives
  • Certification in Strategic Foresight (e.g., from University of Houston or foresight academy)

Required Skills

Strategic Foresight Scenario Planning Trend Analysis Futurism Innovation Strategy Systems Thinking Futurecasting AI Ethics Quantum Computing Predictive Modeling

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