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DBS Bank Limited is seeking a highly skilled and experienced Senior Vice President, Principal Architect to lead our Data and Analytics platform. The successful candidate will be responsible for designing, building, and managing the data, AI/ML, and GENAI architecture.
Key Responsibilities:- Lead the design and implementation of data-centric solutions to address business objectives.
- Collaborate with business stakeholders and technical teams to understand requirements and translate them into data, AI/ML, and GENAI architecture solutions.
- Architect and build scalable data platforms using cloud technologies, GENAI, and ML tools.
- Develop and maintain technical scope and objectives through research and participation in solutioning phases.
- Provide educational and mentoring assistance to project teams on GENAI concepts, tools, and best practices.
- Collaborate closely with platform and engineering teams to ensure timely delivery of project deliverables.
- 10+ years' experience with relevant tool and technology such as data, cloud, GenAI, ML architecting and integrating big data, NoSQL, RDBMS, cloud, and distributed computing platforms.
- At least 6 to 8 years of working experience, preferably in banking environments.
- Experience with data engineering or big data technologies, or data transformation, cloud, and AI/ML.
- Relevant cloud certifications, such as AWS Certified Solutions Architect, Azure Solutions Architect, or Google Cloud Certified - Professional Cloud Architect.
- Experience in architecting and building scalable data platforms.
- Experience with major Hadoop distributions like Cloudera, Amazon EMR, or GCP is essential.
- Knowledge of data security and privacy regulations.
- Excellent problem-solving and analytical skills, with the ability to understand complex business problems and design innovative AI solutions.
- Strong communication and collaboration skills, with the ability to effectively interact with cross-functional teams and stakeholders.
- Proven track record of leading and mentoring teams in data, GENAI, and ML projects.
- Ability to stay updated with the latest advancements in data, GENAI, and ML research and technologies.
- Adaptability and willingness to learn new technologies and methodologies.