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Digital Data and AI Solution (AVP / Sr.Manager level)
āļāļĩāđāļāļīāđāļāļāļĩ āļāļđāđāļāļāļĢāđāđāļāđāļāđāļāļāļĢāđ āļāļģāļāļąāļ (āļĄāļŦāļēāļāļ)Main Job
Strategic Leadership in Data & AI Initiatives: Lead the planning, development, and execution of digital, data, and AI strategies aligned with business goals.
Cross-functional Collaboration & Stakeholder Engagement: Act as a liaison between technical teams (data scientists, engineers) and business units (marketing, sales & operations, finance & Accounting)
Oversight of AI/Data Solution Delivery: Ensure end-to-end delivery of high-impact AI/data projects.
Job Description:
- Design and implement enterprise-level data and AI architectures that drive strategic business outcomes.
- Evaluate and select the best technologies and frameworks for data and AI initiatives.
- Collaborate with stakeholders to define requirements and deliver tailored data solutions.
- Provide technical leadership in the integration of AI technologies with existing systems.
- Drive innovation by leveraging emerging trends in AI, machine learning, and big data.
- Establish architectural standards and best practices for data and AI solutions.
- Mentor technical teams, providing guidance on complex architectural challenges.
- Represent the organizationâs data and AI capabilities in discussions with executive leadership and external stakeholders.
Qualifications:
- Bachelorâs degree or Masterâs degree or Ph.D. in Statistics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Data Science, Economics, Business, AI, Machine Learning or related fields..
- At least 5 year+ experience in Software Engineer, Data Engineer, Data Scientist, AI Engineer or others
- Experience in data and AI architecture, with significant experience in enterprise-level solution design
- Experience in supply chain and logistics analytics based on SAP ECC and S/4 HANA
- Extensive expertise in cloud platforms, big data technologies, and advanced AI frameworks
- Professional certifications in architecture and AI solutions (e.g., TOGAF, Azure/AWS Data Scientist) are required
Location: BTS Ekkamai
Working Day: Mon-Fri
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