Senior Data Manager
Kwun Tong, Kowloon, Hong Kong
FundPark is a fintech platform specialising in financing solutions for e-Commerce SME businesses. We believe that they are the backbone of the economy as they drive innovation and competition, create jobs, and contribute to economic growth. Unfortunately, traditional financial institutions often fail to serve their unique needs, leaving them without access to the working capital they need to grow and succeed.
At FundPark, we're here to change that. Powered by our proprietary credit model, cutting-edge technology, and real-time data, we provide efficient, effective, and flexible funding solutions specifically designed for e-Commerce SMEs to grow their businesses and take advantage of new opportunities as they arise. Our loan disbursement has already crossed $2 billion, helping over 18,000 e-Commerce SMEs to grow since inception.
About the Role
We are seeking an experienced and visionary Data Manager to lead our data management in the dynamic fintech industry. As a Data Manager, you will play a pivotal role in ensuring data integrity, quality, and security within the organization. Your work will bridge the gap between business users and IT professionals, advocating for best practices in data management while understanding different departments' unique needs and priorities.
We are looking for a results-driven and collaborative individual who is passionate about data management. We would love to hear from you if you have a proven track record of successful data management experience and are excited about the opportunity to drive data-driven culture and environment in our company.
What you need to do
- Data Governance and Policy Enforcement:
- Establish and enforce data governance policies and procedures.
- Collaborate with stakeholders to define business terminology, data standards, guidelines, and protocols to ensure consistency and compliance across the organization
- Data Quality Management:
- Ensure data accuracy, completeness, and reliability
- Implement data quality assessment processes, identify anomalies or discrepancies, and coordinate efforts to rectify issues and improve overall quality
- Data Access and Security Management:
- Responsible for managing access controls and permissions to safeguard sensitive or confidential data for their assigned datasets
- Work closely with IT security teams to attain data access policies, monitor user activity, and mitigate security risks
- Metadata Management:
- Provide context and information about data assets
- Define metadata standards, tags, and classifications to enhance data discoverability, lineage, and understanding across the organization
- Data Lifecycle Management:
- Oversee throughout the lifecycle of data, from creation or archival or deletion
- Establish policies and procedures for data retention, archival and disposal, ensuring compliance with regulatory requirements and business needs.
Requirements
- University Degree in Business Administration, Mathematics, Statistics, Data Science, Analytics, Computer Science or related discipline
- Minimum 5 years of working experience in data or project management, preferably in the banking or FinTech field
- Experience in driving the implementation of enterprise master data strategies. Knowledgeable about data governance practices, business and technology matters related to enterprise data management
- Open-minded and self-motivated team player with a "can-do" attitude
- Proactive with strong problem-solving, communication, influencing and negotiation skills
- Good command of spoken and written English and Chinese. Mandarin is an advantage.
Why FundPark
- Collaborate with a cohesive group of young entrepreneurs working towards peak performance
- Led and inspired by a team of experienced and visionary industry leaders
- An exclusive opportunity to be our part owner and share in the Company’s growth and success through participating in our Employee Stock Option Plan
- Join us at this exciting scale-up stage for ample development and career growth opportunities
Benefits
Dental insurance, Medical insurance, Five-day work week
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Banking Computer Science Data governance Data management Data quality E-commerce FinTech Mathematics Security Statistics
Perks/benefits: Career development Equity / stock options Flex hours Startup environment
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