Manager of IT Project Management **General Information** Req # WD00078528 Career area: Information Technology Country/Region: Singapore State: Central Singapore City: SINGAPORE Date: Wednesday, February 12, 2025 Working time: Full-time **Additional Locations** : * Singapore - Central Singapore - Singapore * Singapore - Central Singapore - SINGAPORE **Why Work at Lenovo** We are Lenovo. We do what we say. We own what we do. We WOW our customers. Lenovo is a US$57 billion revenue global technology powerhouse, ranked #248 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY). This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com , and read about the latest news via ourStoryHub (https://news.lenovo.com/) . **Description and Requirements** Service Delivery Director – Application Development (AI, Data, and Full Stack) The Service Delivery Director will lead and manage the delivery of application development services, with a focus on AI-driven solutions, data platforms, and full-stack development. This role is responsible for ensuring the successful design, development, deployment, and maintenance of applications that align with business goals. The ideal candidate will have a strong background in AI, data engineering, and full-stack development, along with proven experience in managing large-scale IT service delivery teams. Key Responsibilities: 1. Strategic Leadership: - Define and execute the strategic roadmap for application development, focusing on AI, data, and full-stack solutions. - Align service delivery objectives with business goals and ensure the delivery of high-quality, scalable, and innovative solutions. - Drive the adoption of AI and data-driven technologies to enhance business processes and customer experiences. 2. Service Delivery Management: - Oversee the end-to-end delivery of application development projects, ensuring timely and within-budget delivery. - Manage the development, deployment, and maintenance of AI models, data platforms, and full-stack applications. - Ensure adherence to best practices in software development, data engineering, and AI/ML model deployment. 3. Team Management: - Lead and mentor cross-functional teams, including developers, data scientists, AI engineers, and DevOps professionals. - Foster a culture of innovation, collaboration, and continuous improvement within the team. - Ensure teams are equipped with the necessary tools, training, and resources to deliver high-quality solutions. 4. Stakeholder Engagement: - Collaborate with internal stakeholders (e.g., business units, product managers) and external partners to understand requirements and deliver solutions. - Act as the primary point of contact for service delivery issues, ensuring effective communication and resolution. - Provide regular updates to senior leadership on project status, risks, and opportunities. 5. Technical Oversight: - Ensure the development and maintenance of robust, scalable, and secure applications. - Oversee the integration of AI/ML models into applications and data pipelines. - Monitor the performance of applications and data platforms, ensuring optimal functionality and user experience. 6. Quality Assurance and Compliance: - Implement and enforce quality assurance processes to ensure the reliability and performance of applications. - Ensure compliance with industry standards, data privacy regulations, and security protocols. 7. Innovation and Continuous Improvement: - Stay updated on emerging technologies and trends in AI, data engineering, and full-stack development. - Identify opportunities to leverage new technologies to improve service delivery and business outcomes. - Drive continuous improvement initiatives to enhance development processes and service quality. Qualifications: Education: Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Science, or a related field. - Experience: - 10+ years of experience in application development, with a focus on AI, data, and full-stack solutions. - 5+ years of experience in a leadership or managerial role, overseeing large-scale IT service delivery teams. - Proven track record of delivering complex, AI-driven applications and data platforms. Technical Skills: - Strong knowledge of AI/ML frameworks and data engineering tools (e.g., Hadoop, Spark). - Expertise in full-stack development technologies (e.g., JavaScript, React, Node.js, Python, Java). - Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and DevOps practices. - Familiarity with data governance, security, and compliance standards. Soft Skills: - Excellent leadership, communication, and stakeholder management skills. - Strong problem-solving and decision-making abilities. - Ability to manage multiple priorities in a fast-paced environment. Preferred Qualifications - Certifications in AI/ML, cloud platforms, or project management (e.g., PMP, Scrum Master). - Experience in industries such as finance, healthcare, or e-commerce, where AI and data-driven solutions are critical. - Knowledge of Agile and DevOps methodologies. Key Performance Indicators (KPIs): - On-time and within-budget delivery of application development projects. - High user satisfaction and adoption rates for delivered solutions. - Improved efficiency and performance of AI models and data platforms. - Reduction in application downtime and maintenance issues. - Successful implementation of innovation initiatives. **Additional Locations** : * Singapore - Central Singapore - Singapore * Singapore - Central Singapore - SINGAPORE * Singapore * Singapore - Central Singapore * Singapore - Central Singapore - Singapore , * Singapore - Central Singapore - SINGAPORE