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Information Technology 🏢 Full Time ⭐️ Verified

2026 Futurist Strategist

Horizon Dynamics Inc.
San Francisco
Estimated Salary
USD 150.000 – USD 220.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Join Horizon Dynamics Inc. at the forefront of tomorrow's innovation as we seek a visionary 2026 Futurist Strategist. This pivotal role will shape our long-term technological roadmap by analyzing emerging trends, predicting market disruptions, and developing actionable strategies to position our company as an industry leader in the rapidly evolving landscape of 2026 and beyond. You'll collaborate with C-suite executives, R&D teams, and global partners to transform foresight into competitive advantage.

Responsibilities

  • Analyze global tech, economic, and societal trends to forecast disruptive forces affecting 2026+ markets
  • Develop scenario-based strategic frameworks for product innovation and market positioning
  • Lead cross-functional workshops to align stakeholders on future-facing initiatives
  • Produce executive-ready trend reports with data-driven recommendations
  • Identify emerging technologies requiring strategic investment or divestment
  • Build partnerships with academic institutions and innovation labs
  • Monitor geopolitical shifts and regulatory changes impacting long-term strategy

Qualifications

  • 10+ years in strategic planning, futures research, or technology innovation
  • Proven track record of translating foresight into business strategy
  • Expertise in trend analysis tools (e.g., Horizon Scanning, Delphi Method)
  • Advanced degree in Futures Studies, Economics, or related field
  • Deep understanding of AI, quantum computing, biotech, and climate tech
  • Exceptional communication skills for executive presentations
  • Experience with scenario planning methodologies
  • Published thought leadership in futurism or innovation strategy

Required Skills

Strategic Foresight Trend Analysis Scenario Planning Technology Innovation Market Research Executive Communication Data Modeling Future Studies

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