Job Description
We are pioneering the next generation of intelligent systems, and we need a visionary leader to define our trajectory through the 2026 Horizon. As the Senior Director of AI Strategy, you will bridge the gap between cutting-edge technological capabilities and commercial scalability. You will lead the strategic planning that positions Nexus Horizon as the market leader in the evolving AI landscape.
This is not just about keeping up with trends; it is about architecting the future. You will work closely with C-suite executives to ensure our technology roadmap aligns with global market shifts, regulatory changes, and consumer demands expected by 2026.
Responsibilities
- Strategic Vision: Define and execute a comprehensive 5-year roadmap focused on achieving key milestones by 2026, including AI integration and autonomous system deployment.
- Leadership: Lead a high-performing cross-functional team of data scientists, engineers, and product managers to drive innovation from concept to production.
- Market Analysis: Conduct in-depth analysis of emerging technologies and market trends to identify high-impact opportunities for the 2026 product cycle.
- Stakeholder Management: Communicate complex technical strategies to non-technical stakeholders, securing buy-in for major investments and strategic pivots.
- Partnerships: Cultivate relationships with key industry partners, academic institutions, and technology providers to foster innovation ecosystems.
- Resource Allocation: Optimize budget and resource allocation to ensure maximum ROI on R&D initiatives leading up to the 2026 launch.
Qualifications
- Experience: 10+ years of experience in technology leadership, with at least 5 years in a senior strategic or director-level role within AI or Machine Learning.
- Education: Master’s degree or PhD in Computer Science, Business Administration, or a related field is strongly preferred.
- Strategic Mindset: Proven track record of defining long-term technology roadmaps and successfully delivering complex, multi-year projects.
- Technical Acumen: Deep understanding of AI architectures, machine learning pipelines, and the ethical implications of advanced AI deployment.
- Communication: Exceptional ability to articulate complex technical concepts to diverse audiences, including investors and board members.
- Adaptability: Demonstrated ability to thrive in a fast-paced, ambiguous environment and pivot strategies based on rapid market changes.