HR Digital Specialist

Overview

We are seeking an experienced HR Digital Specialist for Airbus in Singapore to support digital transformation initiatives across the Asia Pacific region. This role acts as a catalyst for digital innovation within Human Resources by orchestrating AI and digital technologies to enhance HR data management and decision-making processes.

Key Responsibilities

• Explore, propose, and deploy AI agents, chatbots, digital workers, and machine learning models to automate and optimize HR workflows including sentiment analysis, talent acquisition, and workforce planning.
• Collaborate closely with HR stakeholders and data analysts to understand business needs and convert them into detailed technical specifications for AI-powered solutions.
• Perform exploratory data analysis to identify actionable trends and insights to inform AI model development.
• Continuously monitor, evaluate, and fine-tune AI implementations to maintain high standards of accuracy and effectiveness.
• Maintain awareness of advancements in AI, machine learning, and data engineering to integrate innovative techniques.
• Design and manage middleware solutions bridging tools such as Workday and payroll systems; develop data pipelines to ingest, transform, reconcile, and securely store HR data.
• Improve data architecture for scalability and performance optimization.
• Serve as the technical liaison for HR within IT and data teams ensuring smooth integration and scalable infrastructure.
• Adapt global architectural blueprints for regional application across APAC.
• Ensure compliance with data governance, security protocols, Responsible AI principles, GDPR, EU AI Act, and internal AI governance frameworks.
• Engage regularly with AI governance bodies and regional HR digital leadership to align strategic initiatives.
• Define boundaries for AI autonomy versus human oversight in decision-making processes.
• Provide technical training and ongoing support to HR teams on digital tools and AI solutions.
• Guide HR teams through capability assessments prior to new tool deployments.
• Lead initiatives to review and improve HRIS systems and processes by integrating digital and AI advancements.
• Test, implement, and optimize new HR technology platforms, ensuring seamless integration with existing systems and data integrity.
• Manage vendor relationships for HR tech solutions.
• Maintain comprehensive documentation for all HR technology systems and processes.

Qualifications

• Bachelor’s or Master's degree in Computer Science, IT, Engineering, or related quantitative disciplines; equivalent professional experience is also considered.
• Certifications in AI and Machine Learning (e.g., Google Professional Machine Learning Engineer) and Data Engineering (e.g., Google Certified Professional Data Engineer) are advantageous.
• At least 6 years of professional experience in HR-focused AI, ML, or data engineering roles with a proven track record of successfully deployed AI/ML models.
• Experience working with cloud platforms such as Google Cloud Platform or AWS, including AI and data engineering services like Vertex AI, AutoML, BigQuery, S3, or Data Factory.
• Proficiency in Python programming, utilizing libraries such as TensorFlow, PyTorch, and Scikit-learn.
• Hands-on experience with data engineering tools like Spark, Airflow, Databricks, and ETL processes using PySpark, Scala, Git.
• Strong understanding of data privacy, security best practices, and governance, especially concerning sensitive HR data.
• Excellent communication skills to translate complex technical concepts to non-technical stakeholders.
• Project management and organizational capabilities to manage multiple concurrent initiatives.
• Analytical mindset with problem-solving aptitude and a passion for innovation and continuous improvement.

Additional Information

This position demands a strong awareness of compliance risks and requires acting with integrity to safeguard the company’s success and reputation. Airbus is committed to diversity, inclusion, and equal opportunity. Flexible working arrangements are supported to foster innovative thinking. The role is full-time and based onsite in Singapore.