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Information Technology 🏢 Full Time ⭐️ Verified

Future Tech & AI Strategy Lead (2026 Vision)

Nexus Horizon Technologies
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

We are seeking a visionary Future Tech & AI Strategy Lead to architect our roadmap through 2026 and beyond. In this pivotal role, you will bridge the gap between emerging technologies and business objectives, ensuring we remain at the cutting edge of innovation.

As we look toward 2026, we need a leader who can anticipate shifts in the AI landscape and translate them into actionable strategies. You will define our technological horizon, overseeing the integration of next-gen AI solutions and digital transformation initiatives.

Responsibilities

  • Define and execute the 5-year technology roadmap, specifically focusing on the 2026 strategic vision.
  • Lead the integration of Artificial Intelligence and Machine Learning into core business processes.
  • Identify emerging tech trends (e.g., Generative AI, Quantum Computing) and assess their potential impact.
  • Collaborate with cross-functional leadership to align technical goals with broader business KPIs.
  • Oversee the R&D budget and vendor partnerships for future tech initiatives.
  • Mentor technical leads and foster a culture of innovation and continuous learning.
  • Present complex technical strategies to non-technical stakeholders in a compelling manner.

Qualifications

  • 10+ years of experience in technology strategy, product management, or engineering leadership.
  • Deep understanding of AI, machine learning, and future tech trends relevant to 2026.
  • Proven track record of leading digital transformation initiatives in large-scale organizations.
  • Strong analytical skills with the ability to forecast tech trends and market shifts.
  • Excellent communication skills, capable of articulating complex concepts to executive teams.
  • Experience managing budgets and leading diverse, high-performance teams.
  • Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s preferred).

Required Skills

AI Strategy Machine Learning Roadmap Planning Digital Transformation Strategic Leadership Future Tech R&D Technical Architecture

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