Your contribution to something big:
- The Automation & AI Lead drives complex automation and intelligent process solutions, acting as a strategic advisor for the digital transformation of HR. This role leads the design and implementation of advanced AI/ML technologies and robotic process automation, builds strategic roadmaps, pilots emerging technologies, and leads a technical team of automation specialists to ensure HR systems are scalable and future-ready.
Scope & Complexity
- Operates across highly complex, multi-country HR IT environments with significant strategic and operational impact.
- Acts as the senior functional authority and trusted advisor on automation, Generative AI, and intelligent workflows.
- Holds leadership responsibility for managing, mentoring, and developing a team of Automation Specialists and Developers.
- Has full responsibility for defining solution architecture, evaluating emerging technologies, and managing the end-to-end project lifecycle.
- Interfaces with senior stakeholders to translate ambiguous or conflicting business needs into clear, actionable technical roadmaps.
- Balances innovation, performance, cost-efficiency, and risk mitigation when integrating advanced AI capabilities.
Key Responsibilities
- Manage, mentor, and guide a team of Automation Specialists, handling resource planning, task allocation, and performance development.
- Lead the design and implementation of complex automation solutions, integrating advanced AI/ML technologies where applicable.
- Act as a strategic advisor, analyzing business needs, building consensus, and translating them into scalable technical solutions.
- Facilitate workshops and collaborate with international teams to identify automation opportunities and build strategic roadmaps.
- Evaluate and pilot emerging technologies (e.g., Generative AI, LLMs, voice-enabled assistants) to future-proof the HR IT ecosystem.
- Coordinate between Business Analysts, Developers, external partners, and your internal team, ensuring smooth collaboration throughout the project lifecycle.
- Identify potential AI risks and pitfalls, and proactively implement mitigation strategies ensuring responsible and reliable AI usage.