Job Description
We are seeking a visionary Director of Future Technology & AI Strategy to lead our organization through the technological paradigm shift of 2026. In this high-impact role, you will be responsible for defining our long-term roadmap, identifying emerging technologies like Generative AI, Quantum Computing, and Spatial Computing, and integrating them into our core business model to drive competitive advantage.
As we prepare for the next generation of digital transformation, you will act as a bridge between technical teams and executive leadership, ensuring our vision for 2026 is actionable, scalable, and ethically sound.
Why Join Us?
- Future-Forward Environment: Work at the forefront of innovation shaping the landscape for 2026.
- Strategic Autonomy: Significant influence over technology acquisition and implementation.
- Competitive Compensation: Industry-leading salary and equity package.
Responsibilities
- Strategic Roadmapping: Develop and execute a comprehensive technology strategy aligned with the company's goals for 2026, focusing on AI integration and digital transformation.
- Trend Analysis: Monitor global technology trends, regulatory changes, and competitive movements to identify opportunities for growth and disruption.
- AI Governance: Establish frameworks for ethical AI usage, data privacy, and algorithmic transparency.
- Team Leadership: Lead and mentor a cross-functional team of data scientists, engineers, and product managers.
- Stakeholder Management: Communicate complex technical strategies to non-technical stakeholders and secure buy-in from executive leadership.
- Partnerships: Identify and cultivate partnerships with key technology vendors, research institutions, and industry leaders.
Qualifications
- Education: Bachelor’s degree in Computer Science, Engineering, Business Administration, or a related field; Master’s degree or MBA is preferred.
- Experience: Minimum 10+ years of experience in technology leadership, strategy, or consulting, with a focus on AI and emerging tech.
- Strategic Vision: Proven track record of successfully leading digital transformation initiatives.
- Technical Proficiency: Deep understanding of machine learning, deep learning, and large language models (LLMs).
- Leadership: Exceptional communication skills with the ability to translate technical concepts into business value.
- Problem Solving: Demonstrated ability to navigate ambiguity and solve complex problems in a rapidly evolving landscape.