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Strategy 🏢 Full Time ⭐️ Verified

2026 Futurist Strategist

Nexus Horizons
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Shape tomorrow's landscape today as Nexus Horizons seeks a visionary 2026 Futurist Strategist to decode emerging trends and architect our roadmap for the next frontier. Join our elite team at the intersection of technology, sociology, and innovation to preempt market shifts and redefine industry paradigms. This role demands a rare blend of analytical rigor and creative foresight to transform uncertainty into opportunity.

Responsibilities

  • Analyze macroeconomic, technological, and sociocultural shifts to forecast 2026 industry disruptions
  • Develop scenario-planning frameworks for organizational resilience in volatile future landscapes
  • Collaborate with C-suite executives to align long-term strategy with emerging market realities
  • Lead cross-functional innovation sprints to prototype future-facing solutions
  • Author white papers and thought leadership on disruptive technologies and societal impacts
  • Establish strategic partnerships with academic institutions and R&D labs
  • Quantify future risks and opportunities through predictive modeling

Qualifications

  • Advanced degree in Futures Studies, Systems Thinking, or related field
  • 10+ years experience in strategic foresight or innovation consulting
  • Expertise in scenario planning, trend analysis, and horizon scanning methodologies
  • Deep knowledge of AI, biotech, climate tech, and quantum computing trajectories
  • Proven ability to translate complex futures into executable business strategies
  • Published thought leadership on emerging technologies or societal transformation
  • Experience advising Fortune 500 organizations on future-proofing initiatives
  • Certification in Strategic Foresight (preferred)

Required Skills

Strategic Foresight Scenario Planning Trend Analysis Innovation Strategy Systems Thinking Futures Research Executive Communication Predictive Modeling

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