Senior Project Manager (Reference Data)

Role & responsibilities:

• Analyse, manage, and maintain entity reference data to ensure accuracy, consistency, and completeness across systems
• Collaborate with product and technology teams to design, develop, and implement new features and controls for our reference data products
• Identify opportunities for product improvement and process optimization, providing actionable recommendations based on thorough data analysis
• Conduct root cause analysis of data issues, propose solutions, and oversee their implementation.
• Define and translate business requirements into functional specifications for developers and QA teams
• Evaluate and integrate new data sources, ensuring alignment with business needs and data governance standards
• Utilize SQL for data extraction, transformation, and analysis; automate data quality checks and reporting.
• Leverage exploratory data tools (such as Alteryx, KNIME, or similar) to build workflows, analyse large datasets, and generate insights
• Monitor data quality metrics, develop dashboards, and prepare management reports
• Engage with stakeholders to gather requirements, document processes, and communicate findings effectively
• Support ongoing data governance, compliance, and audit requirements within the reference data domain.

Preferred candidate profile

• 8-10 years of relevant experience in entity reference data management, preferably within financial services, fintech, or data-centric organizations
• Proven expertise in data analysis, data quality management, and process improvement.
• Advanced proficiency in SQL for querying, analysing, and managing large datasets
• Hands-on experience with at least one leading data exploration or ETL tool (e.g., Alteryx, KNIME, etc.)
• Strong understanding of data governance, data standards, and regulatory compliance in the context of reference data
• Excellent problem-solving skills, with the ability to work independently on complex data challenges.
• Strong communication skills, both verbal and written, with the ability to interact effectively with technical and business stakeholders
• Bachelors or Master’s degree in Computer Science, Engineering, Finance, Business, or a related field.