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Strategy 🏢 Full Time ⭐️ Verified

2026 Futurist Strategist

Horizon Dynamics Inc.
San Francisco
Estimated Salary
USD 150.000 – USD 220.000
Live Update
18 Mei 2026
Deadline
18 Mei 2027

Job Description

Join Horizon Dynamics Inc. at the forefront of tomorrow's transformation. We're seeking a visionary 2026 Futurist Strategist to decode emerging trends and architect our next-generation roadmap. Shape how industries evolve through cutting-edge market analysis and strategic foresight.

As a key architect of our 2026 vision, you'll collaborate with C-suite executives to identify paradigm-shifting opportunities across AI, biotech, and quantum computing. This role demands a blend of analytical rigor and creative intuition to navigate the complexities of tomorrow's landscape.

Responsibilities

  • Develop predictive models for 2026 market evolution using advanced data analytics
  • Lead cross-functional workshops to ideate future-state business ecosystems
  • Produce annual 'Horizon Scan' reports on disruptive technologies
  • Partner with R&D teams to prioritize 2026 innovation pipelines
  • Establish KPI frameworks for measuring future-readiness
  • Present strategic foresight findings to executive stakeholders
  • Monitor global policy shifts affecting future technology adoption

Qualifications

  • Master's degree in Futures Studies, Strategy, or related field
  • 8+ years experience in strategic foresight or innovation consulting
  • Expertise in scenario planning and trend analysis methodologies
  • Deep understanding of exponential technologies (AI, quantum, synthetic biology)
  • Proven track record of influencing C-level strategic decisions
  • Published thought leadership in futurism or innovation journals
  • Certification in Futures Thinking or Strategic Foresight preferred
  • Experience with horizon scanning tools (e.g., Delphi method, weak signal analysis)

Required Skills

Strategic Foresight Trend Analysis Scenario Planning Market Intelligence Innovation Strategy Futures Research Exponential Technologies Data Modeling

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