Job Description
We are looking for a visionary Senior AI Strategist to lead our technological evolution into the year 2026. As we stand on the precipice of a new era in artificial intelligence, you will be responsible for defining our long-term technical vision and execution strategy. You will not just implement existing tools; you will architect the future of how our organization leverages AI to drive innovation and efficiency.
Role Overview:
In this high-impact role, you will bridge the gap between cutting-edge AI research and practical business application. You will lead cross-functional teams to identify emerging trends, build robust roadmaps, and ensure our infrastructure is ready for the demands of 2026. You will be our internal thought leader, guiding stakeholders through the complexities of the AI landscape.
What You Will Do:
- Strategic Visioning: Define and communicate a comprehensive AI strategy specifically tailored to the technological landscape of 2026, including generative AI, autonomous agents, and advanced predictive modeling.
- Roadmap Development: Create detailed execution plans for AI initiatives, prioritizing projects that offer the highest ROI and competitive advantage.
- Trend Analysis: Monitor global AI advancements and competitor technologies to identify opportunities for innovation and disruption.
- Stakeholder Management: Collaborate with C-suite executives, product managers, and engineering leads to align AI initiatives with broader business goals.
- Technology Evaluation: Lead the selection and integration of new AI platforms, ensuring they meet our security, scalability, and compliance standards.
Why Nexus Horizon Labs?
Join a team that is redefining the boundaries of possibility. We offer a competitive compensation package, equity opportunities, and a culture that encourages experimentation and bold thinking.
Responsibilities
- Lead the development of the company's 2026 AI and technology roadmap.
- Conduct in-depth research into emerging AI technologies, including LLMs, Computer Vision, and Robotics.
- Identify high-value use cases for AI automation across all departments.
- Partner with engineering teams to design scalable AI infrastructure.
- Establish governance frameworks for AI ethics and responsible usage.
- Present complex technical strategies to non-technical stakeholders.
Qualifications
- 10+ years of experience in technology strategy, product management, or AI implementation.
- Proven experience in leading technical roadmaps for enterprise-level organizations.
- Deep understanding of machine learning algorithms, data pipelines, and cloud architecture.
- Excellent analytical skills with the ability to synthesize large amounts of data into actionable insights.
- Strong leadership skills with a track record of managing cross-functional teams.
- Master’s degree in Computer Science, Data Science, or a related field is highly preferred.