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Information Technology 🏢 Full Time ⭐️ Verified

AI Strategy Lead 2026

InnovateTomorrow Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join InnovateTomorrow Labs at the forefront of shaping humanity's digital future. We're seeking an AI Strategy Lead to architect ethical frameworks and scalable AI solutions for 2026 and beyond. This hybrid role blends technical foresight with strategic vision, driving responsible AI adoption across Fortune 500 enterprises.

Our ideal candidate thrives at the intersection of machine learning ethics, policy innovation, and emerging tech. You'll lead cross-functional teams to develop next-gen AI governance models while advising C-suite executives on sustainable AI roadmaps. If you're passionate about democratizing AI responsibly, this is your moment.

Responsibilities

  • Design enterprise-level AI ethics frameworks aligned with 2026 regulatory landscapes
  • Lead cross-functional teams in developing responsible AI deployment strategies
  • Advocate for inclusive AI design principles across product lifecycles
  • Develop predictive models for AI risk mitigation and compliance automation
  • Collaborate with policymakers to shape emerging AI governance standards
  • Architect scalable AI governance platforms for global enterprise clients
  • Present AI strategy blueprints to C-suite and board stakeholders

Qualifications

  • 8+ years in AI/ML strategy, ethics, or governance roles
  • Proven track record developing enterprise AI ethics frameworks
  • Expertise in NIST AI RMF, EU AI Act, and evolving regulations
  • Advanced degree in Computer Science, Ethics, or related field
  • Experience advising C-suite on responsible AI adoption
  • Strong background in predictive modeling and risk assessment
  • Certification in AI Governance (e.g., CAG, GAIC) preferred
  • Published research on AI ethics or technology policy

Required Skills

AI Strategy Ethics Frameworks Machine Learning Governance Predictive Modeling Enterprise Architecture AI Compliance Cross-functional Leadership Policy Innovation

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