- Serve as a technical advisor and consultant to the Finance team on all aspects of financial data management.
- Develop and implement data governance policies and engineering solutions.
- Design and implement financial service data solutions, including data warehousing, data lakes, and big data analytics platforms, using PySpark, Hadoop, ETL/ELT Tools, AWS/Azure as a hypervisor.
- Work with the data engineering team to develop and maintain data pipelines and infrastructure.
- Collaborate with business stakeholders to understand their data needs and develop solutions that meet those needs.
- Manage and deliver complex data management projects on time and within budget.
- Stay up-to-date on the latest trends and technologies in financial data management.
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- 12-15 years of experience in financial data management, data governance, and data engineering.
- Strong knowledge of financial service data solutions, including data warehousing, data lakes, and big data analytics platforms.
- Experience with data governance frameworks and best practices.
- Experience with data modeling, data quality management, and data security.
- Excellent problem-solving and analytical skills.
- Strong communication and interpersonal skills.
- Ability to work independently and as part of a team.
- Master's degree in computer science, Information Technology, or a related field.
- Experience with cloud-based data management platforms, such as AWS, Azure, or GCP.
- Experience with data visualization and reporting tools and Agile methodologies.
- Technical expertise: Deep understanding of financial data management, data governance, and data engineering. They will also be familiar with financial service data solutions, data warehousing, data lakes, big data analytics platforms, data modeling, data quality management, and data security.
- Problem-solving and analytical skills: Able to identify and solve complex data management challenges.
- Communication and interpersonal skills: Able to communicate complex technical concepts to both technical and non-technical audiences and to work effectively with a variety of stakeholders.
- View on business growth and managing stakeholders: Able to understand the needs of the business and develop data management solutions that meet those needs. Also able to manage stakeholders effectively and ensure that their projects are aligned with the overall business goals.
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Data Program Lead - Singapur, Singapore - Infosys Singapore & Australia
Description
We are looking for a highly experienced Subject Matter Expert (SME) in Data Management (FS) to join our team. The ideal candidate will have 12-15 years of experience in data governance, financial service data solutions, and data engineering. They will also have strong solution and delivery skills, as well as a view on business growth and managing stakeholders.
Responsibilities:
Requirements
Qualifications:
Preferred Qualifications / Skills: