AI Transformation Specialist, People Team

Overview

The Regional People Team acts as the Centre of Excellence for policy definition, company-wide initiatives, and oversight of local HR operations across various markets. The team focuses on enhancing HR service delivery through system upgrades and the integration of AI technology, supporting leadership in addressing organizational and workforce issues while delivering an exceptional employee experience.

Amidst the AI era, the goal is to accelerate AI-driven transformation within the People team by deploying AI assistants for employee support and refining organizational insights through predictive analytics.

Key Responsibilities

• Spot opportunities to integrate AI into operations workflows to boost productivity, quality, reduce costs, and mitigate risks.
• Design and facilitate the implementation of AI applications, standard procedures, and operational playbooks for the Operations teams.
• Conduct demonstrations, provide training sessions, and assist with onboarding processes to encourage adoption of AI tools.
• Oversee and coordinate cross-functional AI projects, managing schedules, follow-ups, and project statuses.
• Gather user feedback and analyze AI tool performance data to continuously enhance solutions.
• Assist in defining and monitoring KPIs related to AI uptake and effectiveness.
• Contribute to foundational AI governance by establishing usage guidelines, safety guardrails, and maintaining documentation.

Candidate Requirements

• Possess at least a Bachelor’s degree, ideally in Business Analytics, Statistics, Engineering, or a related discipline.
• Have a minimum of one year experience in HR, Operations, Business Operations, Project Management, Business Analysis, or similar areas.
• Experience or knowledge of HR functions such as HR Business Partnering, Talent Acquisition, People Analytics, or HR Operations is advantageous.
• Demonstrated project coordination capabilities including managing timelines, tracking deliverables, and stakeholder communication.
• Strong business understanding to identify workflow inefficiencies, pain points, and define success criteria.
• Comfortable working with data tools such as spreadsheets and dashboards, capable of analyzing data to produce actionable insights.
• Basic familiarity with AI technology and products, including understanding of LLMs and common AI use-cases in business.
• Effective communication and stakeholder management skills, with the ability to work collaboratively across teams.