Job Description
Join InnovateX Solutions as our AI Strategy Lead to architect the future of artificial intelligence by 2026. We're seeking a visionary leader to drive AI innovation across enterprise operations, ensuring our technology roadmap aligns with emerging trends and market disruptions. This pivotal role demands strategic foresight, technical expertise, and cross-functional leadership to transform AI concepts into scalable solutions that redefine industry standards.
You'll collaborate with C-suite executives, research labs, and product teams to develop a comprehensive AI strategy that balances ethical deployment, technical excellence, and business growth. The ideal candidate thrives at the intersection of technology and business strategy, with a proven ability to translate complex AI capabilities into actionable plans that deliver measurable impact.
Responsibilities
- Develop and execute a comprehensive 2026 AI strategy roadmap aligned with company vision and market opportunities
- Lead cross-functional teams in designing AI-powered solutions for automation, predictive analytics, and customer experience enhancement
- Establish governance frameworks for ethical AI deployment, including bias mitigation and compliance protocols
- Drive AI innovation through partnerships with research institutions and emerging technology vendors
- Present strategic initiatives to stakeholders and secure executive buy-in with compelling data-driven narratives
- Mentor AI talent and cultivate a culture of continuous learning and technical excellence
Qualifications
- 10+ years in AI/ML strategy, data science, or related technical leadership roles
- Proven experience developing enterprise-level AI roadmaps with measurable outcomes
- Deep expertise in generative AI, neural networks, and machine learning frameworks
- Strong background in ethical AI governance and regulatory compliance (e.g., EU AI Act, NIST frameworks)
- Exceptional strategic planning and stakeholder management skills
- Advanced degree in Computer Science, AI, or related field (PhD preferred)
- Published research or patents in AI/ML (demonstrates thought leadership)