HR Digital Specialist

Job Description:

Job Summary:

As a Human Resources (HR) Digital Specialist supporting the Asia Pacific region at Airbus, you will be at the forefront of digital transformation. In this role, you will be a Digital and AI Orchestrator and Change Agent who will be instrumental in project planning and deploying innovative Digital and AI solutions that will revolutionize how we manage and utilize HR data, moving beyond traditional analytics to create intelligent, automated systems.

Job Responsibilities:

Study, explore, propose and deploy AI agents, AI Chatbots, Digital workers and machine learning models that automate workflows across different tools, functions and stakeholders to solve complex HR challenges, such as employee sentiment analysis, talent acquisition optimization, and workforce planning while ensuring an optimised ROI

Partner with HR stakeholders and data analysts to identify business needs and translate them into technical requirements for AI solutions

Conduct exploratory data analysis to identify trends, patterns, and insights that can inform the development of AI models

Monitor, evaluate, audit and fine-tune deployed AI models to ensure optimal performance and accuracy

Stay up-to-date with the latest advancements in AI, machine learning, and data engineering to continuously improve our capabilities

Design, build, buy, and maintain the middleware layer between tools (e.g. Workday and Local payroll) and robust data pipelines to ingest, transform, reconcile (ideally autocorrect mismatches) and store HR data from various sources (e.g., APIs, databases, flat files)

Optimize data architecture and databases to improve performance and scalability

Collaborate with IT and other data professionals and be the Technical focal point for HR to ensure the seamless integration of data solutions and to maintain a scalable data infrastructure

Extract blueprints from internal and external use cases and adapt the architecture for APAC whenever possible

Adhere to data governance and security best practices to protect sensitive HR information

Regularly involve the AI Governance across HIMalaya (HR-IT group) & Regions HR Digital & AI Roadmap Leaders about strategic discussions to ensure alignment

Responsible for enhancing data driven decision making and defining where AI acts autonomously versus where humans retain final approval

Ensure compliance (e.g. Responsible AI, GDPR, EU AI Act, Follow Digital Gates) in accordance with AI Governance framework

Offer technical training and support to HR team members

Ensure the HR team passes "Capability Gates" before any tool goes live

Partner with HR to maintain optimal function of the local Human Resources Information System (HRIS) systems. Perform detailed analysis of HR process requirements, rethink processes and provide appropriate Digital and AI solutions to enhance the processes and document it

Identifying, recommending, and implementing improvements in HR software solutions to optimize HR workflows

Partner with HR to test and implement new technology platforms and ensuring seamless integration with existing systems

Partner with HR to maintain accurate and reliable data across all HR technology platforms

Stay updated on HR technology trends and recommend strategic improvements

Drive the digital transformation of HR processes to enhance efficiency

Partner with HR to handle relationships with vendors providing HR technology solutions

Create and maintain comprehensive documentation for all HR technology systems

Job Requirements:

Bachelor’s or Master's degree in Computer Science, Information Technology, Engineering, or other quant-focused fields or equivalent combination of industry related professional experience and education

AI and Machine Learning Certification such as Google Professional Machine Learning Engineer and Data Engineering Certifications such as Google Certified Professional Data Engineer, or similar certification is a plus

Minimum 6 years of professional experience in an HR AI/ML or data engineering role, with a strong portfolio of deployed AI/ML models

Experience with cloud platforms like Google Cloud Platform (GCP) or AWS including services related to AI and machine learning (e.g., Vertex AI, AutoML, and AI Infrastructure) and data engineering (e.g., S3, Data Factory, BigQuery)

Ability to independently design and implement end-to-end AI/ML solutions and AI agents that deliver measurable business value

Strong programming skills in Python, with experience in libraries like TensorFlow, PyTorch, and Scikit-learn

Demonstrated experience with data engineering tools and technologies (e.g., Spark, Airflow, Databricks)

Capability to effectively communicate complex technical concepts to a non-technical audience

Experience with ETL processes and tools (PySpark, Scala, Git)

Knowledge of data governance principles and their application in an enterprise environment

Expertise and strong understanding of protocols, data privacy and security best practices, particularly within the context of HR data and data exchanges 

Strong Project Management and Organizational skills

Excellent analytical and problem solving abilities

Effective communication and interpersonal skills, with the ability to collaborate with diverse teams

Proactive, curious and tech savvy mindset with passion for innovation

This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth.

Company: Airbus Singapore Private Limited

Employment Type: Permanent

Experience Level: Professional

Job Family: Digital <JF-IM-DI>

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Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.

Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to emsom@airbus.com.

At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.