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Information Technology 🏢 Full Time ⭐️ Verified

2026 Futurist Strategist

Horizon Dynamics
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Shape tomorrow's reality today at Horizon Dynamics. We're seeking a visionary 2026 Futurist Strategist to decode emerging trends and architect our roadmap for the post-2025 landscape. Join our elite team of innovators in Austin, Texas, where cutting-edge technology meets human-centric design.

This role demands a blend of analytical rigor and creative foresight. You'll collaborate with C-suite executives to anticipate paradigm shifts in AI, quantum computing, and biotechnology while developing actionable strategies that position Horizon Dynamics as a market leader.

Responsibilities

  • Conduct horizon-scanning research to identify emerging technologies and societal shifts impacting 2026+ business landscapes
  • Develop scenario-planning frameworks for quantum-resistant cryptography and AGI integration
  • Lead cross-functional workshops to translate future insights into product roadmaps
  • Author quarterly trend briefs for executive stakeholders and venture partners
  • Design ethical AI governance protocols for next-gen automation systems
  • Monitor geopolitical and regulatory shifts affecting tech deployment timelines

Qualifications

  • Master's degree in Futures Studies, Systems Thinking, or related field (PhD preferred)
  • 5+ years experience in strategic foresight or trend analysis at Fortune 500 firms
  • Published research on technological singularity or post-quantum security
  • Proficiency in scenario planning tools (e.g., Causal Layered Analysis)
  • Deep understanding of blockchain, neuromorphic computing, and climate tech
  • Certification in Strategic Foresight from WFS or similar institution
  • Portfolio demonstrating 3+ future-proofed commercial implementations

Required Skills

Futures Research Strategic Foresight Scenario Planning Quantum Computing AI Ethics Systems Thinking Trend Analysis Causal Layered Analysis

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