Data Program Lead (Data Management)

Infosys Singapore & Australia; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

Join a forward-thinking company as a Subject Matter Expert in Data Management, where your extensive experience in data governance and engineering will drive impactful financial data solutions. This role involves collaborating with stakeholders to develop cutting-edge data governance policies, implementing robust data solutions, and managing complex projects that enhance business growth. If you are passionate about leveraging your skills in a dynamic environment and staying ahead of industry trends, this opportunity is perfect for you. Make a significant contribution to the future of financial data management and enjoy the challenges that come with it.

Qualifications

• 12-15 years of experience in data governance and financial data management.
• Strong knowledge of data warehousing, data lakes, and analytics platforms.

Responsibilities

• Serve as a technical advisor on financial data management.
• Develop data governance policies and engineering solutions.
• Manage and deliver complex data management projects.

Skills

Data Governance

Financial Service Data Solutions

Data Engineering

Solution Delivery Skills

Stakeholder Management

Problem-Solving Skills

Analytical Skills

Communication Skills

Interpersonal Skills

Cloud-Based Data Management

Education

Bachelor's Degree in Computer Science

Master's Degree in Computer Science

Tools

PySpark

Hadoop

ETL/ELT Tools

AWS

Azure

GCP

Job 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:

• 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.

Qualifications:

• 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.

Preferred Qualifications / Skills:

• 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.