Analyze absence division workflows, processes and operational pain points to identify opportunities for agentic AI and intelligent automation.
Design, build, deploy and optimize AI-powered bots and automated pipelines to reduce manual effort, improve accuracy and enhance customer and operational outcomes.
Proactively monitor bot and automation performance, identify anomalies or failures, and implement corrective actions to maintain reliability and effectiveness
Lead the development and implementation of scalable AI/ML solutions aligned with organizational priorities and compliance requirements.
Evaluate emerging AI technologies, tools, and frameworks; recommend adoption strategies that strengthen operational capabilities and competitive advantage.
Establish operational governance, monitoring standards, escalation protocols, and performance metrics for AI-enabled workflows.
Maintain comprehensive documentation of bot architecture, logic, workflows, operational procedures, and support models to ensure continuity and supportability.
Ensure all AI systems meet organizational standards for security, ethical AI practices, data governance, and operational integrity.
Build, train, and lead a small team of absence operations subject matter experts (SMEs) who support the day-to-day functioning and optimization of AI bots and automated processes.
Partner closely with product, engineering, operations, compliance, and executive leadership teams to identify and prioritize AI opportunities.
Translate complex technical concepts into clear business insights and actionable recommendations for executive stakeholders, including the SVP of Absence.
Lead AI initiatives from concept through deployment, change management, and operational adoption.
Optimize models for scalability, accuracy, and efficiency.
Implement appropriate controls, governance, and monitoring practices to support responsible and compliant AI usage.
Maintain strict adherence to medical confidentiality and applicable data protection regulations (e.g., GDPR in Europe, PDPA in Singapore, PIPEDA in Canada)
Requirements
3+ years of experience in AI development, automation engineering, or a related technical field
Proven experience building and deploying AI agents or automated bots in a business context
Strong analytical skills with the ability to assess operational processes and identify automation opportunities
Proficiency in at least one scripting or programming language
Experience working with large language model (LLM) frameworks or agentic AI tooling
Strong understanding of agentic AI frameworks, workflow orchestration, automation platforms, and large language model applications.
Demonstrated ability to lead cross-functional teams and influence senior stakeholders.
Strong problem-solving, and communication skills with the ability to present technical concepts to non-technical stakeholders
Demonstrated ability to maintain strict confidentiality and handle sensitive information in compliance with applicable data protection and privacy laws across jurisdictions required.
Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, Information Systems or related field preferred
Experience in absence management, HR, or insurance operations, preferred
Familiarity with absence management processes and systems, preferred
Familiarity with workflow automation platforms, preferred
Experience with HR or absence management platforms, preferred
Background working in a strategic or advisory capacity alongside senior leadership, preferred
Professional certifications PMP, Agile, Six Sigma, COPC, or relevant WFM/operations certification, preferred
Tech Stack
PMP
Benefits
Full benefits package for full-time employees
Statutory paid leave and public holidays
Employer-sponsored health and social insurance contributions (where applicable)