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.