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Information Technology 🏢 Full Time ⭐️ Verified

Chief AI & Future Tech Strategist (2026 Vision)

Apex Horizon Systems
San Francisco
Estimated Salary
USD 220.000 – USD 300.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Lead the 2026 Revolution

Apex Horizon Systems is at the forefront of innovation, and we are seeking a visionary Chief AI & Future Tech Strategist to define our roadmap for the year 2026 and beyond. In this pivotal role, you will bridge the gap between cutting-edge technology and high-level business strategy, ensuring we remain one step ahead of the curve in an ever-evolving digital landscape.

We are looking for a leader who doesn't just react to trends but anticipates them. You will be responsible for steering our AI initiatives, overseeing quantum computing exploration, and implementing sustainable tech infrastructures that will define our success in the coming decade.

Responsibilities

  • Architect the 2026 Roadmap: Define and execute a comprehensive technology roadmap focused on AI integration, predictive analytics, and next-gen computing paradigms.
  • Strategic Vision: Lead the transition of legacy systems into agile, future-proof architectures that support scalable growth.
  • Cross-Functional Leadership: Collaborate with C-suite executives and department heads to align technical capabilities with business objectives.
  • Innovation Management: Identify emerging technologies (e.g., AGI, Neural Interfaces) and evaluate their potential for commercial application.
  • Stakeholder Communication: Translate complex technical concepts into compelling narratives for investors, partners, and internal teams.
  • Compliance & Ethics: Ensure all future tech initiatives adhere to the highest standards of data privacy and ethical AI usage.

Qualifications

  • Experience: Minimum of 10+ years in executive leadership within the Information Technology or AI sectors, with a proven track record of successful digital transformation.
  • Strategic Mindset: Demonstrated ability to think long-term (5-10 year horizon) and manage high-stakes strategic initiatives.
  • Tech Proficiency: Deep understanding of Artificial Intelligence, Machine Learning pipelines, and emerging hardware technologies.
  • Communication: Exceptional public speaking and writing skills, with the ability to influence diverse stakeholders.
  • Education: Bachelor’s degree in Computer Science, Engineering, or Business Administration; Master’s degree preferred.
  • Leadership: Proven ability to build and mentor high-performance engineering and strategy teams.

Required Skills

Artificial Intelligence Strategy Enterprise Architecture Leadership Quantum Computing Digital Transformation Data Science Executive Management

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