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Information Technology 🏢 Full Time ⭐️ Verified

2026 AI Strategy Director

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

Job Description

Join Nexus Innovations at the forefront of technological evolution as our 2026 AI Strategy Director. Shape the future of artificial intelligence by developing groundbreaking frameworks that will redefine industries. This role offers unparalleled opportunity to lead cross-functional teams in creating scalable AI solutions for our global clientele. We're seeking a visionary leader who thrives in ambiguity and can translate complex data into actionable business strategies. Enjoy competitive benefits, flexible work arrangements, and the chance to impact humanity's next technological frontier.

Responsibilities

  • Develop and execute AI roadmaps for 2026-2030 horizon across healthcare, finance, and logistics sectors
  • Lead cross-functional teams of ML engineers, data scientists, and domain experts
  • Establish ethical AI governance frameworks ensuring compliance with emerging regulations
  • Drive innovation through strategic partnerships with quantum computing and neurotech pioneers
  • Present AI transformation strategies to C-suite executives and board members
  • Monitor AI market trends and identify disruptive opportunities for competitive advantage
  • Manage $15M+ AI innovation budget with measurable ROI tracking

Qualifications

  • 10+ years in AI/ML leadership with 5+ years in executive strategy roles
  • PhD in Computer Science, AI, or related field from Tier 1 institution
  • Proven track record of deploying enterprise-scale AI solutions with measurable business impact
  • Deep expertise in transformer architectures, federated learning, and generative AI
  • Published research in top-tier AI conferences (NeurIPS, ICML, etc.)
  • Experience navigating regulatory landscapes (EU AI Act, NIST AI RMF)
  • Exceptional communication skills translating complex concepts for diverse stakeholders
  • Certification in AI Ethics and Governance (e.g., Stanford HAI)

Required Skills

Artificial Intelligence Machine Learning Strategic Planning AI Ethics Quantum Computing Neurotechnology Enterprise Architecture Data Science Leadership Regulatory Compliance

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