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Information Technology 🏢 Full Time ⭐️ Verified

2026 Horizon Strategy Lead | Architecting the Future

Nexus Horizon Corp
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to define the digital landscape of 2026?

Nexus Horizon Corp is seeking a visionary 2026 Horizon Strategy Lead to architect the next generation of scalable, intelligent technology systems. In this pivotal role, you will bridge the gap between emerging technologies and strategic business objectives, ensuring our roadmap is not just future-proof but revolutionary.

We are looking for a thought leader who thrives in ambiguity and possesses the technical acumen to guide engineering teams toward a unified, high-impact vision for the coming decade.

Responsibilities

  • Define the 2026 Technology Roadmap: Collaborate with C-suite executives to establish a forward-looking technology strategy that aligns with long-term business goals.
  • Lead AI & Automation Integration: Spearhead the deployment of next-generation AI architectures and automation workflows to enhance operational efficiency.
  • Emerging Tech Assessment: Identify and evaluate cutting-edge technologies (e.g., Quantum Readiness, Advanced Neural Networks) and provide strategic recommendations for adoption.
  • Architectural Governance: Establish best practices for system scalability, security, and interoperability across distributed cloud environments.
  • Stakeholder Communication: Translate complex technical roadmaps into compelling narratives for investors, partners, and internal teams.
  • Talent Development: Mentor senior engineering leads and foster a culture of continuous innovation and technical excellence.

Qualifications

  • Strategic Vision: 10+ years of experience in Software Engineering or Systems Architecture, with at least 5 years in a strategic leadership or architect role.
  • Future-Proof Mindset: Demonstrated ability to anticipate industry trends and adapt technical strategies accordingly.
  • Technical Proficiency: Deep expertise in Cloud Native architectures (AWS, Azure, or GCP) and distributed systems.
  • AI/ML Knowledge: Strong understanding of Machine Learning lifecycles and their application in enterprise-scale infrastructure.
  • Problem Solving: Exceptional analytical skills with a proven track record of solving complex, ambiguous problems.
  • Education: Bachelor’s degree in Computer Science, Engineering, or a related technical field (Master’s degree preferred).

Required Skills

Cloud Architecture AI Strategy Future Tech Leadership Strategic Planning Python Kubernetes System Design

Ready to Take This Challenge?

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