Job Description
Join Nexus Innovations as we pioneer the next wave of technological transformation. As our AI Strategy Lead, you'll architect the blueprint for AI-driven innovation that will define 2026 and beyond. We're seeking a visionary leader to bridge cutting-edge AI research with market-ready solutions, driving our mission to democratize intelligent automation. This role offers unparalleled influence in shaping how businesses and societies interact with AI in the coming decade.
You'll collaborate with C-suite executives, lead cross-functional teams, and drive strategic initiatives that position Nexus as the industry's thought leader. We offer competitive equity, flexible remote options, and a culture that rewards bold thinking. If you're passionate about creating tangible impact through AI and thrive in fast-paced environments, this is your opportunity to leave an indelible mark on the future.
Responsibilities
- Develop and execute a comprehensive AI strategy aligned with 2026 market trends and organizational goals
- Lead cross-functional teams of data scientists, engineers, and product managers to deliver AI-powered solutions
- Identify emerging AI technologies and assess their strategic value for business applications
- Present AI roadmaps and ROI projections to executive stakeholders and board members
- Establish ethical AI frameworks and governance protocols for responsible innovation
- Forge strategic partnerships with AI research institutions and technology vendors
- Mentor talent and build a high-performing AI strategy team
- Monitor competitive landscape and regulatory developments affecting AI adoption
Qualifications
- 10+ years of experience in AI/ML strategy, with 5+ years in leadership roles
- Proven track record of executing large-scale AI initiatives in enterprise environments
- Deep expertise in generative AI, machine learning, and neural network architectures
- Exceptional strategic thinking with ability to translate complex technical concepts into business value
- Strong background in AI ethics, bias mitigation, and responsible AI development
- Experience with AI product lifecycle from ideation to commercialization
- Advanced degree in Computer Science, AI, or related field (PhD preferred)
- Published thought leadership in AI strategy or technology innovation