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Information Technology 🏢 Full Time ⭐️ Verified

Future Technology Strategist

InnovateHorizon Labs
San Francisco
Estimated Salary
USD 140.000 – USD 180.000
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

Join InnovateHorizon Labs at the forefront of technological evolution. We're seeking a visionary Future Technology Strategist to architect our 2026 roadmap and beyond. This pivotal role demands an individual who can anticipate industry shifts, pioneer disruptive solutions, and lead cross-functional teams through the next wave of digital transformation. If you thrive at the intersection of foresight and execution, this is your opportunity to shape tomorrow's innovations today.

Responsibilities

  • Develop and implement strategic technology roadmaps aligned with 2026 market trends and company vision
  • Lead R&D initiatives for emerging technologies including quantum computing, AI ethics, and biotech integration
  • Collaborate with C-suite executives to align technology investments with business objectives
  • Conduct competitive analysis and scenario planning for next-generation tech ecosystems
  • Manage stakeholder communications on technology adoption risks and opportunities
  • Drive innovation through hackathons and cross-functional ideation sessions
  • Establish KPIs for technology maturity and ROI tracking

Qualifications

  • 10+ years in technology strategy with 5+ years in future-focused planning
  • Proven track record in scaling tech initiatives from concept to enterprise deployment
  • Expertise in emerging technologies (blockchain, AR/VR, neuromorphic computing)
  • Advanced degree in Computer Science, Engineering, or related field
  • Strong analytical skills with data-driven decision-making capabilities
  • Certification in Technology Strategy or Innovation Management preferred
  • Experience leading global tech teams in matrix organizations
  • Published thought leadership in technology futurism

Required Skills

Strategic Planning Emerging Technologies Foresight Analysis Quantum Computing AI Ethics R&D Leadership Data-Driven Decision Making

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