ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Project Management, Automation, Scrum, English, Thai

ประเภทงาน:

งานประจำ

• IT Project Management Department Manager.
• to lead enterprise IT and AI initiatives in the.
• financial services and leasing industry., driving digital transformation, project governance, and successful execution of strategic technology programs.
• Lead and oversee the IT Project Management Department, ensuring successful delivery of strategic IT and digital transformation initiatives aligned with business objectives.
• Manage the enterprise IT project portfolio, prioritizing initiatives, optimizing resources, and ensuring projects are delivered on time, within budget, and to expected quality standards.
• Establish and continuously improve IT project management governance, methodologies, frameworks, and best practices to enhance delivery effectiveness.
• Partner with business stakeholders and IT teams to translate business needs into project roadmaps and drive successful execution.
• Monitor project performance, risks, dependencies, and budgets, providing regular updates and strategic recommendations to senior management.
• Lead, coach, and develop the project management team, fostering a high-performance culture and strengthening project management capabilities across the organization.
• Drive continuous improvement by identifying opportunities to streamline project delivery, improve operational efficiency, and adopt industry best practices.
• Manage relationships with internal stakeholders, vendors, and external partners to ensure successful project outcomes.
• Ensure compliance with corporate governance, regulatory requirements, and IT policies throughout the project lifecycle.
• Undertake other strategic initiatives and special assignments as delegated by management.
• AI Strategy Alignment & Planning: Drive the integration of Artificial Intelligence (AI) and Machine Learning (ML) initiatives into the overall IT project roadmap, ensuring alignment with corporate strategic goals.
• AI Project Execution & Development: Oversee the end-to-end lifecycle of AI/ML development and deployment, managing cross-functional teams of data scientists, data engineers, and software developers to ensure high-quality delivery.
• AI Governance & Compliance: Establish and enforce AI governance frameworks, including ethical AI standards, data privacy compliance, risk assessment, and algorithmic accountability across all enterprise AI projects.
• AI Adoption & Change Management: Act as a strategic advisor to foster AI adoption across business units, identifying high-impact AI use cases while building capability and awareness within the project management team.
• Bachelor's or Master's degree in Business Administration, Project Management, Computer Science, Computer Engineering, Information Technology, Information Systems, Operations Management, Economics, Data Analytics, or a related field.
• Minimum 10 years of experience in IT Project Management, PMO, or related functions, including 3-5 years in a leadership or people management role.
• Proven experience leading complex, cross-functional IT projects and managing multiple initiatives from planning through successful implementation.
• Strong knowledge of project management methodologies and frameworks (e.g., Agile, Waterfall, PMBOK, Scrum) with experience driving project governance and delivery excellence.
• Excellent leadership, stakeholder management, communication, and presentation skills, with the ability to influence and collaborate across all levels of the organization.
• Strong analytical, problem-solving, and decision-making skills, with the ability to manage risks, priorities, and project performance effectively.
• Experience in the leasing, banking, financial services, or automotive finance industry is an advantage.
• Proficiency in both Thai and English, with strong verbal and written communication skills.
• Solid experience in managing and delivering AI/ML, Data Analytics, or Advanced Automation projects from concept to production.
• Strong understanding of AI project lifecycles, lifecycle dependencies (e.g., data preparation, model training, evaluation, deployment), and agile delivery for data-centric projects.
• Familiarity with AI Governance, AI Ethics, Data Governance frameworks, and relevant regulatory requirements surrounding data and AI technologies.
• Ability to act as a bridge between technical AI development teams and non-technical business stakeholders, translating complex technical concepts into business value.
• BTS Phahon Yothin 24.
• Remark: The Company requires to check and collect criminal record of candidates of this position.