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Strategy 🏢 Full Time ⭐️ Verified

2026 Futurist Strategist

Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Join Horizon Labs at the forefront of tomorrow's innovation as our 2026 Futurist Strategist. We're seeking a visionary leader to architect the future landscape of emerging technologies and societal trends. This pivotal role combines deep analytical prowess with creative foresight to shape our roadmap for 2026 and beyond. You'll collaborate with C-suite executives, drive cross-functional innovation sprints, and present groundbreaking frameworks to global stakeholders. If you thrive at the intersection of technology, sociology, and business strategy, this is your moment to redefine what's possible.

Responsibilities

  • Develop and publish annual 2026 Innovation Roadmap integrating AI, biotech, and quantum computing trajectories
  • Lead scenario-planning workshops for 15+ Fortune 500 partners on future market disruptions
  • Author white papers on societal impact of Web4.0 and ethical AI governance frameworks
  • Direct a $5M R&D portfolio targeting 2026 breakthrough technologies
  • Present trend forecasts to board members and government innovation councils
  • Mentor a team of 12 futurists and data scientists using proprietary foresight tools

Qualifications

  • 15+ years in strategy consulting or corporate innovation with future-focused portfolio
  • Advanced degree in Futures Studies, Systems Theory, or equivalent technical field
  • Published thought leadership on 2030 technology paradigms (Harvard Business Review/MIT Press)
  • Expertise in scenario modeling using Monte Carlo simulations and Delphi methods
  • Proven track record advising C-suite on 5+ year strategic pivots
  • Proficiency in foresight platforms (e.g., Foresight Platform, Trendalyzer)
  • Security clearance for government innovation projects (preferred)

Required Skills

Strategic Foresight Scenario Planning Technology Trend Analysis Systems Thinking Innovation Management AI Ethics Biotech Policy Quantum Computing Data Modeling C-Level Advisory

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