Job Description
Are you ready to architect the future of intelligence? Nova Dynamics is seeking a visionary Lead AI Strategist to define our roadmap for 2026 and beyond. In this pivotal role, you will bridge the gap between cutting-edge artificial intelligence research and high-level business strategy. You won't just be managing projects; you will be shaping the ethical frameworks, technological milestones, and market positioning that will define the next generation of our industry.
Join a team of forward-thinkers dedicated to solving humanity's most complex challenges through scalable, responsible AI solutions. If you have a passion for the future and the experience to lead it, we want to hear from you.
Responsibilities
- Define and execute the comprehensive 2026 AI roadmap, aligning technical milestones with business objectives.
- Lead cross-functional teams to integrate advanced machine learning models into core product ecosystems.
- Identify emerging trends in generative AI, neural networks, and predictive analytics to maintain a competitive edge.
- Establish ethical guidelines and governance frameworks for AI deployment to ensure compliance and safety.
- Present complex technical concepts to C-suite executives and stakeholders to drive strategic buy-in.
- Collaborate with product management and engineering to translate strategic vision into actionable product features.
- Conduct market analysis to forecast AI-driven industry shifts and recommend pivot strategies.
Qualifications
- 10+ years of experience in Artificial Intelligence, Machine Learning, or Strategic Technology roles.
- Proven track record of leading large-scale AI initiatives from concept to deployment.
- Advanced degree (Master’s or PhD) in Computer Science, Data Science, or a related technical field.
- Deep understanding of LLMs, NLP, and Generative AI architectures.
- Exceptional leadership skills with experience managing diverse, high-performing teams.
- Strong ability to communicate complex technical strategies to non-technical stakeholders.
- Experience with regulatory frameworks and AI ethics compliance (e.g., EU AI Act, IEEE standards).