Job Description
Are you ready to architect the workforce of tomorrow? Nexus Horizon Solutions is seeking a visionary Future of Work Strategist & AI Automation Lead to guide our organization through the technological shifts defining 2026 and beyond.
In this pivotal role, you will bridge the gap between emerging technologies—specifically AI, predictive analytics, and automation—and human capital strategy. You will be responsible for forecasting labor market trends, implementing AI-driven recruitment pipelines, and ensuring our talent acquisition framework is future-proof.
Join us in shaping the future of work in the tech capital of the world.
Responsibilities
- Strategic Foresight: Analyze macro-economic and technological trends to predict labor market shifts relevant to the Year 2026 and prepare workforce strategies accordingly.
- AI Integration: Lead the deployment of AI tools and automation software to streamline recruitment workflows and enhance candidate experience.
- Role Definition: Identify, define, and market emerging roles (e.g., prompt engineers, AI ethics officers) that will define the landscape in 2026.
- Process Optimization: Audit and overhaul existing recruitment processes to eliminate bias and maximize efficiency using data-driven insights.
- Stakeholder Management: Collaborate with C-suite executives to align talent acquisition strategies with broader business goals and digital transformation roadmaps.
Qualifications
- Experience: 5+ years of experience in Talent Acquisition, HR Strategy, or Technical Recruitment within a high-growth tech environment.
- Technical Fluency: Deep understanding of AI trends, automation tools (e.g., Greenhouse, Paradox, or custom LLM integrations), and predictive analytics platforms.
- Strategic Mindset: Proven ability to translate complex data into actionable hiring strategies and long-term organizational plans.
- Communication: Exceptional written and verbal communication skills with the ability to persuade stakeholders at all levels.
- Adaptability: Comfortable working in a fast-paced, ambiguous environment where the rules of work are constantly evolving.