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Information Technology 🏢 Full Time ⭐️ Verified

2026 Innovation Lead

FutureVision Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Join FutureVision Labs at the forefront of tomorrow's transformation. We're seeking a visionary 2026 Innovation Lead to architect our next-generation technology roadmap. This pivotal role demands strategic foresight, cross-functional leadership, and a passion for emerging technologies that will redefine industries by 2026. You'll drive quantum computing initiatives, AI ethics frameworks, and sustainable tech integration while mentoring a high-impact team.

Responsibilities

  • Develop and execute the 2026 technology innovation roadmap aligning with market disruption forecasts
  • Lead cross-functional teams in prototyping next-gen solutions (quantum computing, neuromorphic AI)
  • Conduct horizon scanning for emerging technologies with 2026 commercialization potential
  • Establish strategic partnerships with academic institutions and tech pioneers
  • Present innovation blueprints to C-suite and board stakeholders with data-driven impact projections
  • Drive R&D budget allocation across quantum, bio-computing, and climate tech verticals
  • Champion ethical AI deployment frameworks for 2026 regulatory landscapes

Qualifications

  • 15+ years in technology strategy with demonstrated impact in future-tech roadmapping
  • Expertise in quantum computing, generative AI, or climate tech ecosystems
  • Proven experience scaling innovation teams in high-growth environments
  • PhD or advanced degree in Computer Science, Engineering, or Futurism
  • Published thought leadership on 2026 technology trends (IEEE, Nature, etc.)
  • Executive-level stakeholder management across global enterprises
  • Certification in emerging technology assessment (Gartner, Forrester preferred)

Required Skills

Quantum Computing AI Ethics Futurism Strategic Innovation R&D Leadership Cross-Functional Teams Technology Roadmapping Disruption Forecasting

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