Job Description
Join Nexus Innovations at the forefront of tomorrow's transformation. We seek a visionary Future Vision Strategist to architect our 2026 roadmap, driving innovation at the intersection of AI, sustainability, and human-centric design. This pivotal role requires a strategic thinker who can translate emerging trends into actionable plans that redefine industries.
As a key member of our executive team, you'll collaborate with global leaders to develop frameworks for long-term resilience, identify disruptive opportunities, and position Nexus as the catalyst for 2026's breakthrough innovations. Our culture thrives on bold ideas, intellectual curiosity, and collaborative excellence.
Responsibilities
- Design and execute the strategic vision for 2026, aligning with global market trends and technological evolutions
- Lead cross-functional initiatives in AI ethics, circular economy models, and human-machine collaboration
- Develop predictive frameworks for industry disruption and competitive positioning
- Partner with R&D to incubate breakthrough technologies with 5+ year impact horizons
- Present strategic recommendations to C-suite and board stakeholders with compelling data narratives
- Establish KPIs for future-readiness and track progress against 2026 milestones
- Represent Nexus at global forums on future-focused innovation and sustainable growth
Qualifications
- 10+ years in strategic planning, innovation consulting, or future-focused leadership
- Proven track record of developing long-term roadmaps for Fortune 500 companies
- Expertise in emerging technologies (AI, quantum computing, biotech) and sustainability frameworks
- Advanced degree in Strategy, Futures Studies, or related field (MBA preferred)
- Exceptional analytical skills with experience in scenario planning and trend forecasting
- Strong communication ability to translate complex concepts for diverse stakeholders
- Portfolio demonstrating 3+ successful multi-year strategic initiatives
- Proficiency in strategic tools (SWOT, PESTLE, horizon scanning methodologies)