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Information Technology 🏢 Full Time ⭐️ Verified

Director of 2026 AI Strategy

TechNova Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to architect the future of technology? As we look toward 2026, the landscape of Artificial Intelligence and automation is shifting rapidly. TechNova Systems is seeking a visionary Director of 2026 AI Strategy to lead our next-generation initiatives. You will be at the forefront of defining how we leverage emerging AI paradigms to solve complex business problems and drive exponential growth.

In this high-impact role, you will bridge the gap between technical innovation and executive strategy, ensuring our roadmap is not just compliant, but pioneering. Join a team that values bold thinking, ethical AI development, and a commitment to shaping the world of 2026 and beyond.

Responsibilities

  • Define and execute the comprehensive AI strategy roadmap for the 2026 fiscal year and beyond, aligning technical capabilities with business objectives.
  • Lead cross-functional teams of data scientists, engineers, and product managers to deliver cutting-edge AI solutions.
  • Identify emerging AI trends and technologies (e.g., Generative AI, Quantum AI readiness) and evaluate their potential impact on our market.
  • Establish governance frameworks and ethical guidelines for AI deployment to ensure responsible innovation.
  • Collaborate with C-suite executives to secure budget, resources, and stakeholder buy-in for high-priority strategic initiatives.
  • Drive the adoption of AI-driven decision-making processes across all departments.

Qualifications

  • 10+ years of experience in technology leadership, strategy, or product management, with a specific focus on Artificial Intelligence or Machine Learning.
  • Proven track record of leading large-scale digital transformations or AI implementation projects.
  • Strong understanding of current and future AI trends, including Large Language Models (LLMs) and predictive analytics.
  • Bachelor’s degree in Computer Science, Data Science, Engineering, Business Administration, or a related field; Master’s degree preferred.
  • Exceptional communication skills, with the ability to translate complex technical concepts into actionable business strategies for diverse audiences.
  • Demonstrated experience in building and mentoring high-performing engineering teams.

Required Skills

Artificial Intelligence Strategy Machine Learning Leadership Data Science Ethics Cloud Computing Agile Methodologies

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