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Information Technology 🏢 Full Time ⭐️ Verified

Future Technology Strategist

InnovateTech Solutions
San Francisco
Estimated Salary
USD 150.000 – USD 200.000
New
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

Join InnovateTech Solutions at the forefront of tomorrow's digital revolution. We're seeking a visionary Future Technology Strategist to architect our 2026 roadmap and lead cutting-edge initiatives that will redefine industries. This pivotal role combines deep technical expertise with strategic foresight to transform emerging concepts into scalable solutions. You'll collaborate with C-suite executives, research labs, and global partners to pioneer breakthrough technologies in AI, quantum computing, and sustainable systems. Our culture thrives on innovation, agility, and impact—where your ideas shape the future.

Responsibilities

  • Develop and execute a comprehensive 2026 technology strategy aligned with business objectives and market trends
  • Lead cross-functional teams in prototyping and deploying next-gen solutions
  • Conduct horizon scanning to identify emerging technologies with disruptive potential
  • Forge strategic partnerships with academic institutions and industry leaders
  • Present technology roadmaps and innovation cases to executive stakeholders
  • Drive R&D initiatives in quantum applications and AI autonomy
  • Champion sustainable technology practices across all innovation projects

Qualifications

  • 10+ years in strategic technology planning with 5+ years in emerging tech
  • Proven track record leading large-scale digital transformation projects
  • Expertise in AI, quantum computing, or next-gen infrastructure
  • Strong analytical skills with ability to translate complex data into actionable strategies
  • Experience managing cross-functional teams in agile environments
  • Advanced degree in Computer Science, Engineering, or related field
  • Exceptional communication skills for executive stakeholder management

Required Skills

Strategic Planning Emerging Technologies AI Quantum Computing Data Analysis Innovation Management Leadership

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