The Business Process Automation Specialist will design, develop, implement, and maintain automation solutions that improve operational efficiency across the US parent corporation and its shared services functions. This role focuses on reducing manual work, streamlining workflows, integrating business systems, and applying AI-powered tools to improve data processing, reporting, and operational decision-making.
The position will work closely with business leaders and cross-functional teams, including fulfillment, allocation, e-commerce, wholesale, accounting, and management, to identify process improvement opportunities and translate business requirements into practical, reliable, and scalable automation solutions.
Key Responsibilities
Process Automation and Workflow Development
- Design, develop, test, and maintain automation solutions that reduce manual work and improve operational efficiency.
- Automate recurring processes involving reporting, reconciliation, data transfers, document handling, email and ticket triage, and routine approval workflows.
- Identify opportunities to streamline existing processes, eliminate repetitive tasks, and improve workflow turnaround time.
- Monitor automation performance and troubleshoot issues to ensure reliability and continuity of operations.
System Integration and Technical Solutions
- Develop and maintain integrations between Microsoft 365, Excel/VBA-based processes, Odoo/ERP systems, reporting tools, and other approved business applications.
- Utilize APIs, workflow automation platforms, and controlled scripts to facilitate secure and efficient data exchange between systems.
- Implement appropriate error handling, logging, validation, and recovery mechanisms for automated processes.
- Ensure integrations are reliable, maintainable, and aligned with business and technical requirements.
AI and Intelligent Automation
- Apply AI tools and Large Language Models (LLMs) to support business processes such as data extraction, summarization, classification, drafting, exception detection, and structured reporting.
- Identify practical opportunities to incorporate AI into existing workflows to improve productivity and reduce manual processing.
- Implement appropriate validation and human review mechanisms, particularly for outputs involving financial data, employee records, customer information, and business decisions.
- Evaluate AI-powered tools and automation approaches based on their practical business value, accuracy, and reliability.
Business Requirements and Solution Development
- Collaborate with business leaders and department stakeholders to understand operational challenges and identify automation opportunities.
- Translate business requests into clearly defined project scopes, workflow designs, technical requirements, and acceptance criteria.
- Develop, test, and implement working solutions based on approved business requirements.
- Conduct testing and validation before deployment and provide appropriate handover documentation to end users and stakeholders.
Data Integrity, Controls, and Documentation
- Ensure automated outputs are accurate, traceable, and supported by appropriate validation and testing procedures.
- Establish safeguards and control measures to minimize errors, unauthorized changes, and unreliable automated outputs.
- Maintain workflow documentation, process maps, technical notes, runbooks, and troubleshooting guides.
- Document automation ownership, maintenance requirements, failure-handling procedures, and escalation processes to support long-term sustainability.
Operational Reporting and Continuous Improvement
- Support the development and enhancement of recurring operational reports, dashboards, exception logs, and management reporting packages.
- Identify process inefficiencies, duplicated activities, manual data entry, recurring errors, missing approvals, and reporting bottlenecks.
- Recommend and implement improvements that enhance productivity, data accuracy, and operational visibility.
- Provide automation and reporting support across fulfillment, allocation, e-commerce, wholesale, accounting, and other business functions as needed.
Qualifications and Requirements
- Bachelor's degree in Computer Science, Information Technology, Information Systems, Engineering, or any related technical field.
- At least 3 years of relevant experience in process automation, systems integration, data engineering, Robotic Process Automation (RPA), business systems, or software development.
- Demonstrated experience developing and implementing automation solutions, system integrations, or internal tools that have been adopted in an actual business environment.
- Working proficiency in Python for data transformation, file processing, API integration, and automation scripting.
- Hands-on experience with at least one workflow automation or RPA platform, such as Microsoft Power Automate, n8n, Make, Zapier, UiPath, or equivalent.
- Working knowledge of API integration fundamentals, including REST APIs, JSON, authentication, pagination, error handling, retries, and logging.
- Practical experience using AI tools or LLM APIs to support business workflows, such as data extraction, summarization, classification, reporting, and process automation.
- Familiarity with Microsoft 365, Excel/VBA, ERP systems such as Odoo, and business reporting tools is an advantage.
- Strong analytical, problem-solving, and process improvement skills.
- Ability to translate business requirements into practical technical solutions.
- Strong documentation skills and the ability to communicate technical concepts to non-technical stakeholders.
- Willing to work onsite at Madrigal Business Park, Ayala Alabang, Muntinlupa City.
- Willing to work on a night-shift schedule aligned with US business hours.