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Information Technology 🏢 Full Time ⭐️ Verified

2026 AI Strategy Lead

Nexus Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Join Nexus Dynamics at the forefront of technological evolution as we pioneer the 2026 AI Strategy Lead role. This position is designed for visionary leaders who will architect the next generation of AI-driven business transformations. You'll collaborate with C-suite executives to develop forward-thinking frameworks that position our organization at the cutting edge of artificial intelligence innovation. This is a rare opportunity to shape the future of technology while driving measurable business impact in one of the world's most dynamic tech hubs.

Responsibilities

  • Develop comprehensive 2026 AI roadmaps aligned with long-term business objectives
  • Lead cross-functional teams in implementing cutting-edge AI solutions
  • Conduct horizon scanning for emerging AI technologies and market disruptors
  • Establish governance frameworks for ethical AI deployment and risk mitigation
  • Drive strategic partnerships with AI research institutions and industry leaders
  • Present AI transformation strategies to executive stakeholders and investors
  • Measure and optimize AI ROI through advanced analytics and KPI tracking

Qualifications

  • 10+ years in AI/ML strategy with 5+ years in executive leadership
  • Proven track record of scaling AI initiatives in Fortune 500 environments
  • Deep expertise in generative AI, neural networks, and predictive analytics
  • Exceptional communication skills for translating technical concepts to business stakeholders
  • Published thought leadership in AI ethics or future technology trends
  • Advanced degree in Computer Science, AI, or related field (PhD preferred)
  • Experience with agile transformation and change management methodologies

Required Skills

AI Strategy Machine Learning Generative AI Executive Leadership Future Tech Forecasting AI Ethics Neural Networks Predictive Analytics

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