Job Description
Join Innovatech Futures at the forefront of technological evolution as we shape the digital landscape of 2026. We seek a visionary Future Technology Strategist to architect innovative solutions that redefine industry standards. This role combines cutting-edge technical expertise with strategic foresight to drive our next-generation product roadmap. Collaborate with cross-functional teams to transform emerging technologies into scalable commercial opportunities while maintaining our position as industry pioneers.
Our ideal candidate thrives in ambiguity, anticipates market shifts, and translates complex tech trends into actionable business strategies. You'll influence product development cycles from conception to launch, ensuring alignment with our 2026 vision. If you're passionate about building tomorrow's technology today, this is your opportunity to make history.
Responsibilities
- Develop and execute 2026 technology roadmaps aligning with market trends and business objectives
- Lead research initiatives on emerging technologies (quantum computing, AI ethics, neuro interfaces)
- Collaborate with R&D to prototype next-gen solutions and validate market viability
- Present strategic recommendations to C-suite executives and board stakeholders
- Build partnerships with academic institutions and tech innovators
- Monitor global tech policy developments and assess regulatory impacts
- Mentor cross-functional teams on future-focused technology applications
Qualifications
- 10+ years in strategic technology planning with Fortune 500 or high-growth startups
- Proven track record in commercializing emerging technologies
- Expertise in at least two future-tech domains: AI/ML, blockchain, or biotech
- Advanced degree in Computer Science, Engineering, or Business Innovation
- Certification in Strategic Foresight or Technology Management preferred
- Published thought leadership in tech innovation or future studies
- Experience scaling global tech initiatives across multiple markets
- Exceptional analytical skills with data-driven decision making