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Strategy & Innovation 🏢 Full Time ⭐️ Verified

2026 Futurist Strategist

Horizon Dynamics Group
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
26 Mei 2026
Deadline
26 Mei 2027

Job Description

Join Horizon Dynamics Group at the forefront of tomorrow's landscape. We seek a visionary 2026 Futurist Strategist to decode emerging trends, architect next-generation solutions, and drive innovation that reshapes industries. This premium role combines cutting-edge research with actionable strategy development for global clients.

Our San Francisco hub offers unparalleled resources to explore quantum computing, bio-integration, and sustainable tech paradigms. You'll collaborate with Nobel laureates and disruptor startups to build the future's blueprint.

Responsibilities

  • Lead horizon-scanning initiatives identifying disruptive technologies through 2026
  • Develop strategic roadmaps for Fortune 500 clients navigating exponential change
  • Produce trend reports with 85%+ predictive accuracy for market shifts
  • Architect innovation frameworks integrating AI, blockchain, and climate tech
  • Host executive workshops on future-proofing business models
  • Partner with R&D teams to prototype 2026-ready solutions
  • Represent the firm at Davos and World Economic Forums

Qualifications

  • 10+ years in strategic foresight, innovation consulting, or future-tech research
  • Proven track record of predicting industry shifts (provide case studies)
  • Expertise in exponential technologies (quantum, synthetic biology, AGI)
  • Published thought leader in Harvard Business Review or MIT Tech Review
  • Certification in Futures Methodology (AFS, APF) or equivalent
  • PhD in Futures Studies, Systems Theory, or relevant STEM field
  • Fluency in scenario planning and cross-impact matrix analysis
  • Portfolio demonstrating 2020-2025 trend predictions with validation

Required Skills

strategic foresight exponential technologies scenario planning trend analysis innovation architecture quantum computing synthetic biology predictive modeling

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