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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
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Join Nexus Innovations at the forefront of technological evolution as we shape the future of AI-driven solutions. As our AI Strategy Director, you'll architect transformative frameworks that position our organization for 2026 and beyond. This premium role demands visionary leadership and the ability to translate emerging AI trends into actionable business strategies. Collaborate with C-suite executives to pioneer ethical AI adoption, drive digital transformation, and secure our competitive edge in an exponentially evolving landscape.

Responsibilities

  • Develop and execute comprehensive AI roadmaps aligned with 2026 market predictions and organizational goals
  • Lead cross-functional teams to integrate AI into product development, operations, and customer experience
  • Establish governance frameworks for ethical AI deployment, ensuring compliance with evolving regulations
  • Drive innovation through strategic partnerships with AI research labs and technology providers
  • Present AI transformation strategies to executive stakeholders and board members
  • Monitor global AI trends and competitive intelligence to inform strategic pivots
  • Mentor senior data scientists and engineers to foster cutting-edge AI capabilities

Qualifications

  • 15+ years in technology leadership with 8+ years in AI/ML strategy or related fields
  • Proven track record of scaling AI initiatives from concept to enterprise-wide deployment
  • Expertise in emerging AI domains (generative AI, quantum computing, neuromorphic systems)
  • Deep understanding of regulatory landscapes (GDPR, CCPA, EU AI Act)
  • Exceptional strategic planning and stakeholder management skills
  • Advanced degree in Computer Science, AI, or related field; PhD preferred
  • Published thought leadership in AI ethics or future-tech strategy
  • Experience with AI infrastructure scaling (cloud, edge computing, MLOps)

Required Skills

AI Strategy Machine Learning Digital Transformation Ethics in AI Quantum Computing Generative AI Strategic Planning C-level Leadership

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