Job Description
Join Nexus Innovations at the forefront of tomorrow's technological landscape. We're seeking a visionary 2026 Future Tech Strategist to architect our next-generation innovation roadmap. This role demands an architect of digital transformation, someone who thrives at the intersection of emerging technologies and market disruption. You'll lead cross-functional teams in developing long-term tech strategies that position us as industry pioneers in the rapidly evolving 2026 tech ecosystem.
Our ideal candidate combines deep technical acumen with strategic foresight, translating complex market signals into actionable blueprints. You'll collaborate with C-suite executives, R&D pioneers, and global partners to shape our innovation pipeline while navigating the ethical implications of exponential technologies.
Responsibilities
- Architect and execute the 2026 technology vision roadmap, integrating AI, quantum computing, and biotech convergence
- Lead market intelligence initiatives to identify emerging tech disruptors and competitive threats
- Develop strategic frameworks for exponential technology adoption across 15+ business units
- Chair the Future Ethics Council, establishing governance protocols for next-gen technologies
- Present strategic tech roadmaps to Board of Directors and C-suite stakeholders quarterly
- Mentor a team of 12+ innovation specialists in strategic foresight methodologies
- Forge strategic partnerships with leading academic labs and technology incubators
Qualifications
- 15+ years in technology strategy with proven experience in exponential tech domains
- Advanced degree in Computer Science, Engineering, or Business with specialization in Futures Studies
- Published thought leadership in emerging tech (minimum 5 peer-reviewed papers or industry whitepapers)
- Certification in Strategic Foresight or Technology Impact Assessment
- Expertise in scenario planning and technology adoption lifecycle management
- Track record leading cross-border tech innovation initiatives with $10M+ budgets
- Deep understanding of ethical implications of autonomous systems and AI governance
- Fluency in at least one major programming language and data modeling frameworks