Job Description
Join our visionary team at Horizon Innovations to architect the future! We're seeking a Senior Futurist to lead strategic innovation initiatives and shape how organizations prepare for 2026 and beyond. This role blends cutting-edge technology forecasting with human-centric design to create actionable roadmaps for sustainable growth. Work alongside industry pioneers in our state-of-the-art innovation lab, where your insights will directly impact global tech adoption and market disruption.
As a key architect of tomorrow's solutions, you'll collaborate with C-suite executives across Fortune 500 companies to anticipate technological inflection points, identify emerging opportunities, and develop resilient strategies for the rapidly evolving digital landscape. This is your chance to transform theoretical foresight into tangible business value.
Responsibilities
- Lead horizon-scanning initiatives to identify emerging technologies and market trends through 2026+
- Develop strategic innovation roadmaps with quantifiable impact metrics for enterprise clients
- Facilitate cross-functional workshops on future scenarios and disruption preparedness
- Conduct primary research through ethnographic studies and expert interviews
- Author thought leadership publications and predictive models for industry adoption curves
- Manage a portfolio of innovation pilots with Fortune 500 partners
- Present strategic recommendations to executive stakeholders and board members
Qualifications
- 10+ years in strategic foresight, innovation management, or future-focused consulting
- Advanced degree in Futures Studies, Technology Forecasting, or related field
- Proven track record of developing and implementing innovation frameworks for Fortune 500 companies
- Deep expertise in AI/ML, quantum computing, and biotechnology convergence
- Exceptional storytelling abilities to translate complex futures into compelling narratives
- Certification in foresight methodologies (e.g., Shell Foresight, TechScape)
- Experience with scenario planning and risk modeling for long-term uncertainty