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Strategy 🏢 Full Time ⭐️ Verified

2026 Innovation Strategist

FutureWorks Inc.
San Francisco
Estimated Salary
USD 160.000 – USD 210.000
Live Update
21 Mei 2026
Deadline
21 Mei 2027

Job Description

Join FutureWorks Inc. at the forefront of tomorrow's revolution. As our 2026 Innovation Strategist, you'll architect the future landscape of technology and business strategy. We're seeking a visionary leader to translate emerging trends into actionable roadmaps that will redefine industries by 2026. This role offers unparalleled influence in shaping our company's decade-long trajectory while collaborating with C-suite executives and pioneering research teams. If you thrive at the intersection of foresight, technology, and business transformation, this is your moment to make history.

Responsibilities

  • Develop and execute 2026 innovation roadmaps aligned with market disruption forecasts
  • Lead cross-functional teams in prototyping future-facing solutions for emerging technologies
  • Analyze global tech trends to identify disruptive opportunities and competitive threats
  • Present strategic recommendations to executive stakeholders with data-driven impact models
  • Partner with R&D to accelerate development of quantum computing and AI applications
  • Establish KPI frameworks for measuring innovation ROI across 5-year horizons

Qualifications

  • 10+ years in strategic planning with proven 5+ year horizon experience
  • Expertise in emerging technologies (quantum computing, biotech, AI ethics)
  • Advanced degree in Business Strategy, Technology Forecasting, or related field
  • Portfolio demonstrating successful long-term innovation initiatives
  • Proficiency in scenario planning tools and predictive analytics platforms
  • Executive presence with experience presenting to C-suite and boards
  • Published thought leadership on future-of-work or tech disruption

Required Skills

Strategic Planning Innovation Management Technology Forecasting Quantum Computing AI Ethics Scenario Planning Executive Leadership Data-Driven Decision Making

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