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Information Technology 🏢 Full Time ⭐️ Verified

Future Tech Strategist

Nexus Innovations
San Francisco
Estimated Salary
USD 140.000 – USD 190.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join Nexus Innovations as we redefine the technological landscape for 2026. We're seeking a visionary Future Tech Strategist to architect our next-generation digital ecosystem. In this pivotal role, you'll identify emerging tech trends, develop forward-looking roadmaps, and lead cross-functional teams to transform innovative concepts into scalable solutions. Our cutting-edge R&D lab in downtown San Francisco offers unparalleled resources to prototype and deploy breakthrough technologies that will shape tomorrow's industries.

Responsibilities

  • Research and analyze emerging technologies (quantum computing, AI ethics, spatial web) for strategic integration
  • Develop 5-year technology roadmaps aligned with business objectives and market disruption forecasts
  • Lead innovation sprints with engineering, design, and product teams to prototype future-facing solutions
  • Establish KPIs for tech adoption and measure ROI of futuristic initiatives
  • Collaborate with C-suite executives to align tech strategy with organizational vision for 2026
  • Present findings to stakeholders through compelling data visualizations and scenario planning

Qualifications

  • 10+ years in technology strategy or innovation leadership at Fortune 500 scale
  • Expertise in at least three emerging tech domains: AI/ML, blockchain, or AR/VR
  • Proven track record of launching tech products with >$100M market impact
  • Certification in futures thinking (e.g., CFTe) or technology foresight methodologies
  • Advanced degree in Computer Science, Engineering, or Innovation Management
  • Portfolio showcasing 3+ tech transformation initiatives with measurable outcomes
  • Experience with agile development in complex enterprise environments

Required Skills

Technology Strategy Innovation Management AI/ML Blockchain AR/VR Futures Thinking Enterprise Architecture Data Science

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