Job Description
Join Nexus Innovations at the forefront of technological evolution as we build the infrastructure for 2026 and beyond. We're seeking a visionary Future Tech Strategist to architect our next-generation digital ecosystem. This role combines cutting-edge AI research with practical implementation, shaping how businesses and societies interact with emerging technologies. You'll work directly with C-suite executives to develop roadmaps that integrate quantum computing, decentralized systems, and sustainable tech solutions. Our collaborative environment fosters innovation through cross-functional partnerships with R&D, product development, and sustainability teams. If you're passionate about creating tangible impact through strategic foresight, this is your opportunity to define tomorrow's digital landscape today.
Responsibilities
- Develop 5-year technology roadmaps aligning with market trends and organizational goals
- Lead research initiatives in quantum computing, AI ethics, and sustainable tech integration
- Collaborate with executive teams to translate strategic vision into actionable implementation plans
- Analyze emerging technologies' competitive landscape and regulatory implications
- Establish KPIs for measuring technology adoption and ROI on innovation investments
- Present strategic insights to stakeholders through compelling data visualizations and narratives
- Build partnerships with academic institutions and industry consortia for knowledge exchange
Qualifications
- 10+ years in strategic technology planning with Fortune 500 or high-growth tech companies
- Expertise in at least two emerging tech domains: quantum computing, AI/ML, or Web3
- Proven track record of executing complex digital transformation initiatives
- Advanced degree in Computer Science, Engineering, or Business Technology
- Strong analytical skills with ability to synthesize complex technical concepts
- Experience presenting to C-suite and board-level stakeholders
- Certification in strategic foresight (e.g., CFAP) or technology management preferred
- Deep understanding of ethical frameworks for AI deployment and data governance