Job Description
We are seeking a visionary Strategic AI & Future Tech Lead to architect the technological trajectory for Nexus Horizon Solutions. As we prepare for the transformative era of 2026, you will be at the forefront of integrating cutting-edge artificial intelligence, machine learning, and emerging digital infrastructures. This role is not just about managing current tech stacks; it is about defining the future of our business operations, customer experience, and product innovation.
In this pivotal position, you will bridge the gap between high-level business strategy and technical execution. You will lead a cross-functional team of engineers, data scientists, and product managers to ensure our roadmap remains agile, scalable, and ahead of industry standards. If you are a thought leader passionate about the next generation of technology and possess the strategic foresight to navigate the digital landscape of 2026, we want to hear from you.
Responsibilities
- Strategic Roadmap Planning: Develop and execute a comprehensive technology roadmap focused on 2026 goals, identifying key AI and automation opportunities.
- Tech Vision Leadership: Define the long-term vision for our technical infrastructure, ensuring alignment with business objectives and industry trends.
- Cross-Functional Collaboration: Partner with C-suite executives, product leaders, and engineering teams to drive innovation and implement scalable solutions.
- Emerging Tech Evaluation: Research and evaluate emerging technologies (GenAI, Blockchain, Quantum Computing) to determine their applicability to our core business.
- Stakeholder Management: Communicate complex technical concepts to non-technical stakeholders and secure buy-in for high-stakes initiatives.
- Team Mentorship: Foster a culture of continuous learning and technical excellence within the engineering organization.
Qualifications
- Experience: 10+ years of experience in software engineering, data science, or technical leadership roles, with at least 5 years in a strategic management capacity.
- Education: Bachelor’s degree in Computer Science, Engineering, or a related field; Master’s degree or MBA is preferred.
- Strategic Mindset: Proven track record of defining technology strategies that drive business growth and operational efficiency.
- AI/ML Expertise: Deep understanding of artificial intelligence, machine learning algorithms, and their practical applications in enterprise environments.
- Communication: Exceptional ability to translate complex technical data into actionable business insights.
- Leadership: Demonstrated success in leading high-performance teams and managing large-scale technical projects.