Senior Specialist, HR Operations (AI-Driven Employee Lifecycle Management and Global Service Delivery)

Job description

Summary of the Role: As the Senior Specialist, HR Operations (AI-Driven Employee Lifecycle Management and Global Service Delivery), you will be responsible for leveraging AI and digital innovation to transform global HR operations by streamlining employee lifecycle processes, automating workflows, and enhancing service delivery and the overall employee experience. You will use AI-driven analytics to monitor performance, identify improvement opportunities, and deliver measurable operational efficiencies. Additionally, you will ensure responsible AI governance, data privacy, security, and compliance while collaborating with the Global HR Team, HR Technology Group, and cross-functional stakeholders to drive AI adoption, process standardization, and scalable HR operational improvements across multiple countries. Key Responsibilities and Role Accountabilities: Digital HR, AI Enablement and Automation Identify and implement opportunities to automate manual processes and enhance employee experience through digital solutions, workflow optimization, AI capabilities, and self-service technologies. Champion AI adoption by leveraging Generative AI, copilots, and emerging HR technologies to improve productivity, streamline service delivery, strengthen knowledge management, and deliver measurable business value. Partner with HR Technology teams to implement system enhancements and process improvements while establishing best practices, governance, and adoption strategies for responsible and effective AI use. Contribute to HR transformation initiatives focused on process harmonization, shared services maturity, operational excellence, service optimization, and AI-driven modernization. Evaluate existing processes and recommend scalable, technology-enabled solutions that improve efficiency, compliance, productivity, and employee experience. Support the implementation of new processes, intelligent automation, HR technologies, and operating model enhancements to advance digital adoption, AI transformation, and service delivery excellence. Global HR Service Delivery Deliver end-to-end global HR operational support across the employee lifecycle, including onboarding, employee data management, organizational changes, benefits, leave management, and offboarding. Serve as a subject matter expert for complex employee and manager inquiries, applying HR policies, procedures, and service delivery expertise to ensure accurate, timely, and effective resolutions. Leverage HRIS, case management, knowledge management, and AI-enabled tools to deliver customer-focused HR services that meet service levels, quality standards, and employee experience objectives while fostering a trusted and supportive environment. Global HR Shared Services Excellence Deliver consistent and efficient HR support within a global tiered service delivery model, partnering with HR Business Partners, HR Experience Partners, Centers of Excellence, and cross-functional teams to ensure seamless service delivery across regions. Drive Global HR Operations excellence through AI-enabled process optimization and continuous improvement, serving as a trusted subject matter expert for assigned HR processes and programs. Process Governance, Compliance and Data Integrity Maintain high levels of accuracy, integrity, and confidentiality of employee data and HR records. Conduct audits, quality reviews, and validation activities to ensure compliance with internal policies, controls, and regulatory requirements. Identify operational risks, recurring issues, process gaps, recommend sustainable corrective actions and ensure HR processes are executed consistently in alignment with global standards and local compliance requirements. Multi-Country HR Operations Partnership Support employees and stakeholders across multiple geographies while balancing global consistency with local market requirements. Demonstrate awareness of regional employment practices, compliance considerations, and cultural nuances impacting HR service delivery. Collaborate with global process owners and regional HR teams to maintain standardized and effective operational processes. Continuous Improvement and Knowledge Management Utilize AI-driven insights and analytics to identify opportunities for service enhancement and operational effectiveness. Analyze operational metrics, employee feedback, and service trends to identify opportunities for process improvement, automation, and enhanced employee experience. Education and Work Experience: Bachelor's degree in Human Resources, Business Administration, Psychology, or a related field of study. At least 7 years of progressive experience in Global HR Operations and HR Shared Services, with a strong focus on leveraging AI for process automation, digital transformation, and AI-driven analytics. Strong expertise in end-to-end employee lifecycle processes, supporting multi-country operations and global employee populations within a multinational environment. Hands-on experience utilizing enterprise HRIS platforms, digital HR technologies, and employee self-service solutions. Skills and Competency Requirements: Strong AI fluency and demonstrated experience leveraging AI-powered tools, Generative AI solutions, workflow automation technologies, copilots, or digital platforms to enhance HR operations, employee experience, and business outcomes. Proficiency with Microsoft Copilot, Power Platform, ServiceNow, Workday AI capabilities or similar AI-enabled enterprise technologies. Demonstrated ability to identify, evaluate, and implement AI-enabled solutions that improve service quality, productivity, scalability, and operational effectiveness. Strong understanding of HR operations, workforce administration, compensation and benefits, employee data management, and compliance requirements. Strong understanding of knowledge management, workflow automation, AI-enabled technologies, and process optimization methodologies. Familiarity with Digital Transformation or continuous improvement frameworks. Other Requirements: Open to employment opportunities in Binan City, Laguna, CALABARZON, Philippines. Open to a hybrid work arrangement. Open to a dayshift work schedule. Important Reminders: We provide free medical examination. We do not collect any original documents. We do not collect any fees at any stage of the hiring process. #LI-BR1 WD thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. WD is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Notice To Candidates: Please be aware that WD and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to WD Ethics Helpline or email . WD is building the infrastructure behind the AI-driven data economy. As AI scales, so does data. Every interaction, every model, every system generates data that must be stored, managed, and made accessible over time. That’s where we come in. We combine deep engineering expertise with global-scale manufacturing to deliver the storage systems that make AI possible, powering hyperscale data centers, cloud platforms, and enterprise infrastructure worldwide. This isn’t theoretical work. It’s real systems, at real scale, people solving some of the hardest challenges in technology today. We’re looking for people who want to build, solve, and operate at that level. Join us and let’s shape the future of data.