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Information Technology 🏢 Full Time ⭐️ Verified

AI Strategy Director

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join Nexus Innovations at the forefront of technological evolution as we build the AI-powered world of 2026. As our AI Strategy Director, you'll architect the future of intelligent systems, driving innovation that transforms industries and shapes human experience. This role offers unparalleled influence in defining how AI integrates into global infrastructure, ethics frameworks, and daily life. You'll lead cross-functional teams in developing cutting-edge AI solutions while ensuring alignment with our commitment to responsible innovation and human-centric design.

Responsibilities

  • Develop and execute comprehensive AI strategy aligned with 2026 technological forecasts and market disruption
  • Lead enterprise-wide AI implementation across R&D, product development, and client solutions
  • Establish governance frameworks for ethical AI deployment, bias mitigation, and regulatory compliance
  • Drive partnerships with academic institutions and tech pioneers to pioneer next-gen AI capabilities
  • Present AI vision and progress to C-suite executives and board stakeholders
  • Mentor senior AI specialists and cultivate a culture of continuous learning
  • Monitor global AI policy shifts and adapt strategy to emerging regulatory landscapes

Qualifications

  • 15+ years in AI/ML with 5+ years in executive strategy leadership
  • Proven track record scaling AI initiatives in Fortune 500 environments
  • Deep expertise in generative AI, neural networks, and predictive analytics
  • Published research or patents in AI ethics or human-computer interaction
  • Experience with federal AI policy development (NIST, OSTP)
  • PhD or equivalent in Computer Science, Cognitive Science, or related field
  • Exceptional communication skills for translating complex AI concepts to diverse audiences

Required Skills

AI Strategy Machine Learning Generative AI Neural Networks AI Ethics Predictive Analytics Executive Leadership AI Policy

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