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Strategic Planning 🏢 Full Time ⭐️ Verified

2026 Strategic Futurist

Nexus Horizons Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

Join Nexus Horizons Inc. at the forefront of tomorrow's transformation. We seek a visionary 2026 Strategic Futurist to architect our next-generation roadmap and pioneer breakthrough innovations. This role demands a blend of foresight, strategic execution, and technological fluency to position our company as an industry leader in the rapidly evolving landscape of 2026 and beyond. You will collaborate with C-suite executives, research labs, and global thought leaders to translate emerging trends into actionable business strategies.

Responsibilities

  • Anticipate and analyze global technological, economic, and societal shifts through horizon scanning and trend forecasting
  • Develop 5-10 year strategic roadmaps for product innovation and market expansion
  • Lead cross-functional initiatives integrating AI, quantum computing, and biotech advancements
  • Establish partnerships with academic institutions and emerging tech startups
  • Present future scenarios to executive teams and boards with data-driven recommendations
  • Author thought leadership publications and keynote presentations at global forums

Qualifications

  • Minimum 8 years in strategic planning, innovation management, or futures research
  • Expertise in emerging technologies (AI, blockchain, AR/VR, quantum computing)
  • Proven track record of translating foresight into commercial success
  • Advanced degree in Business Strategy, Technology Forecasting, or related field
  • Exceptional analytical skills with proficiency in predictive modeling tools
  • Experience working with Fortune 500 companies or high-growth tech startups
  • Strong network within futurist, academic, and venture capital communities

Required Skills

Strategic Planning Trend Forecasting AI Integration Quantum Computing Scenario Planning Innovation Management Market Analysis Data Modeling

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