Senior Manager, Vendor Management Digital Transformation

Job description

PCCW Global is a leading telecommunications provider, offering the latest voice and data solutions to multi-national enterprises and communication service providers. Our truly global coverage combined with local, on the ground knowledge has helped us build best in class connections across the globe linking Asia-Pacific, Europe, the Americas, the Middle East and Africa. About Console Connect by PCCW Global Console Connect by PCCW Global is a platform for the Software Defined Interconnection® of applications and infrastructures. It allows users to self-provision private, high-performance connections among a global ecosystem of enterprises, networks, clouds, SaaS providers, IoT providers and applications providers. Senior Manager, Vendor Management Digital Transformation This role is a strategic leadership position responsible for transforming vendor management into a data-driven, digitally enabled function. The Senior Manager will own the design and execution of automation, data architecture, and advanced analytics initiatives to enhance commercial visibility, operational scalability, and decision-making across the vendor ecosystem. The position requires a combination of vendor management domain expertise, strong data and systems capability, and the ability to lead cross-functional digital transformation initiatives at a regional or global level. Key Responsibilities Digital Strategy and Transformation Leadership Define and execute the digital transformation roadmap for vendor management, focusing on automation, data integration, and advanced analytics. Own the transition from manual, fragmented workflows to scalable, system-driven processes across the vendor lifecycle. Partner with senior stakeholders across IT, Product, Finance, and Commercial and Operation Team to align digital initiatives with broader business and commercial objectives. Data Architecture and Analytics Ownership Design and oversee vendor data architecture, ensuring structured, scalable, and reliable data across multiple systems. Lead the development of advanced dashboards and real-time reporting frameworks to provide visibility into vendor performance, cost drivers, and commercial trends. Translate complex datasets into actionable insights to support strategic planning, cost optimization, and performance improvement. Automation and Systems Integration Drive end-to-end automation of vendor management processes, including sourcing, quoting, cost book, performance tracking, and reporting. Collaborate with IT and solution architecture teams to implement integrated systems and APIs that enhance data flow and operational efficiency. Evaluate and implement digital tools and platforms (e.g., Jira, CRM systems, vendor platforms) to standardize and optimize workflows. Commercial Insights and Decision Support Provide data-driven insights to senior management on vendor performance, spend optimization, and risk exposure. Develop predictive models and trend analyses to support demand planning, vendor strategy, and financial forecasting. Ensure transparency and accuracy of vendor-related financial and operational data used in business decision-making. Governance, Data Integrity, and Risk Management Establish governance frameworks to ensure data accuracy, consistency, and compliance across all vendor systems. Ensure adherence to internal policies and external regulatory requirements related to data management and vendor operations. Identify risks in data, systems, and processes, and implement mitigation and control measures. Change Management and Adoption Lead change management initiatives to drive adoption of digital tools and new ways of working within vendor management and related functions. Develop training frameworks and user enablement strategies to ensure effective utilization of systems and analytics tools. Foster a culture of continuous improvement, innovation, and data-driven decision-making. Continuous Improvement and Innovation Continuously assess existing processes, tools, and data structures to identify opportunities for optimization and innovation. Stay informed on emerging technologies and best practices in data analytics, automation, and vendor management. Skills and Knowledge Requirements Strong expertise in vendor management frameworks, including performance metrics, cost structures, and governance models. Advanced capabilities in data analytics, dashboard design, AI and system tools. Solid understanding of data architecture, database management, and system integration,including SQL and scripting tools. Proven ability to design and implement automated workflows across enterprise systems and platforms. Strong commercial acumen with the ability to link data insights to financial and operational outcomes. Excellent stakeholder management skills, with experience influencing senior leaders and cross-functional teams. Strong communication skills in English; Chinese or additional languages are advantageous. Qualifications and Experience Bachelor’s degree in Information Technology, Data Science, Business Intelligence, or a related discipline.\ Minimum 8 years of experience across vendor management, data/AI, or digital transformation roles, with clear ownership of automation and analytics initiatives. Proven track record in leading large-scale process automation, data transformation, or system integration projects. Hands-on experience in building and managing reporting platforms, dashboards, and data pipelines supporting business-critical decisions. Experience working in complex, cross-functional environments with regional or global scope. Familiarity with Agile methodologies, project delivery frameworks, and change management practices. Relevant certifications in data analytics, project management, or digital transformation are advantageous. Candidates with less relevant experience demonstrate exceptional capability and potential will be considered for the Manager grade. Additional Requirements Willingness to travel and support global stakeholders as required. Flexibility to operate across time zones in a dynamic business environment.