Expert - Learning and Training

Bayer Taguig, National Capital Region, Philippines Expert - Learning and Training Join to apply for the Expert - Learning and Training role at Bayer Responsibilities Works with a Senior Expert to coordinate an efficient delivery of Learning & Training programs across countries. Ensure organization and professional end-to-end delivery of training events. Maintain the integrity of the course and program data. Act as an interface between involved stakeholders e.g., Clients, Vendors, L&T Coordinators, Administrators, and Works Council. Stakeholder and Customer Management. Ensure the team responds and resolves tickets within the agreed service level agreements. Quality Assurance and Reporting. Identify service delivery issues by monitoring L&T programs’ metrics (including external providers and locations) and take appropriate actions to resolve and improve quality standards. Ensure the quality, accuracy, and timely creation of training reports. Perform quality assurance reviews, collaborating with stakeholders and vendors to test modules and software integrations. Manage and generate reports on training administered by the team. Monitor and report on the team’s SLAs and KPIs and engage people to achieve the targets. Perform root cause analysis on KPI results if below the targets. System and Process Management. Ensure that the learning management systems and platforms work accurately; apply quick fixes where possible and promptly work with L&T Enabling Partners or IT to resolve problems. Lead the team’s participation in the development of learning systems and software release including the planning, scheduling, testing, implementation, and verification of software updates. Service Management. Manage requests escalated by associates or senior associates to facilitate a timely and accurate resolution. Identify trends in user requests or issues and propose permanent fixes to improve team efficiency and customer satisfaction. Document non-standard requests and the corresponding resolution and share knowledge with the learning community. Identify out-of-scope requests and hand over the request to the appropriate support team. Deputy Senior Expert. Drive an inclusive work culture within the team by promoting teamwork and implementing global ways of working. Co-lead innovation projects and contribute to complexity reduction initiatives. Act as the deputy and back-up support to the Senior Expert. Qualifications Minimum of at least one to two years’ experience in L&T administration processes and has working knowledge of learning technologies (LMS, ServiceNow (SNow), SAP, SuccessFactors), authoring tools, SCORM, and AICC standards. Understands how one's own role contributes to delivering the organization's vision and purpose. Can articulate the relationship between business processes and how results affect the organization's financial performance. Intermediate knowledge on how to make sense of KPI data to support decision-making and drive process improvements. Possesses critical thinking and strong problem-solving skills in managing complex inquiries and escalations. Proactive in collaborating with stakeholders through regular communication, meetings, workshops, and collaboration events that will result in mutual benefits and value creation. Consistently deliver high-quality outcomes while continuously striving for further improvements. Knowledgeable in LSS Concept and in various statistical tools to solve problems, eliminate waste and variation and implement improvements through a structured lean management approach, thereby generating value. Involved in the conceptualization and implementation of process improvement / innovation as a team member. Experienced in leading a small project following a structured approach / methodology. Intermediate to advanced working knowledge on Microsoft Office 365 (MS Forms, OneDrive, SharePoint, Excel). Basic to intermediate working knowledge on Microsoft Power Platforms (Power BI, Power Apps, Power Automate). Basic familiarity with low-code and no-code tools. Citing advantages and limitations of this tech is a plus. Ability to come up with functional business requirements for digital solutions. Fundamental understanding of RPA, AI, and automation workflow (SNow, Power Automate). Can cite examples of relevant tools. Fundamental to intermediate understanding of data analytics. Can cite examples of working with data tools (MS Excel, MS PowerBI etc.). Is flexible, mobile and accepts assignments that will expand capabilities. Persuasive data storyteller who creates compelling stands that resonate with stakeholders. Can rally the team to excellence and handle and resolve conflicts in a constructive manner. Aligned to the organization's core values and exhibit behaviors that promote collaboration, respect, ownership, and transparency, resulting in game-changing innovation. Exhibits a sense of purpose, connects with the broader mission of the organization, and takes decisions and actions that deliver high impact. Empowered to take ownership, promotes autonomy and self‑direction. Understands and responds to the needs of customers and the organization and is prepared to make decisions based on sound business knowledge. Promotes iterations, experimentation and learning to facilitate faster work cycles and enable quick decision-making. Receives a moderate level of guidance and direction from senior level team members. Regional – North America and North Latin America. Support for any of these regions may involve cross‑location collaboration. This role is a permanent night‑shift position. IMPORTANT NOTE for POTENTIAL CANADIAN CANDIDATES: This position requires full vaccination against COVID‑19. Location: Philippines : National Capital : Taguig Division: Enabling Functions Reference Code: Seniority level: Mid‑Senior level Employment type: Full‑time Job function: Human Resources; Industries: Chemical Manufacturing, Pharmaceutical Manufacturing, and Biotechnology Research Application Local regulations and legal requirements vary per country of hire and will be discussed with considered candidates individually based on their potential of hire. Bayer welcomes applications from all individuals, regardless of race, national origin, gender, age, physical characteristics, social origin, disability, union membership, religion, family status, pregnancy, sexual orientation, gender identity, gender expression or any unlawful criterion under applicable law. We are committed to treating all applicants fairly and avoiding discrimination. Bayer is committed to providing barrier‑free access and support‑facilities for individuals with disabilities – during the application process and beyond. Applicants with disabilities are encouraged to request any support / equipment they may need via the contact information below. #J-18808-Ljbffr