Director of Data Processing
Company Description
STANLIB Eswatini is committed to helping clients pursue more of what matters in life—more dreams, more goals, and more meaningful milestones. The organization focuses on building long-term financial journeys, offering solutions that support clients today and into the future. STANLIB Eswatini values partnership, walking alongside clients through changing personal and market conditions. Team members join a culture that emphasizes trust, guidance, and continuous growth in the financial services landscape. Role Description The Director of Data Processing is a full-time remote role responsible for overseeing all data processing activities across STANLIB Eswatini’s operations. This role includes designing and managing data workflows, ensuring data quality and integrity, and establishing standards and controls for data handling and reporting. The Director will lead and mentor a data team, collaborate with investment, operations, and technology stakeholders, and translate business requirements into efficient data processes and solutions. Daily responsibilities involve supervising data extraction, transformation, and loading, optimizing database and processing performance, monitoring data-related risks, and preparing insights and reports to support strategic and operational decision-making. The role also requires staying current with data management best practices and recommending enhancements to tools, systems, and procedures.
Qualifications
Candidates should possess strong Data Processing skills, with experience in designing, implementing, and managing end-to-end data workflows. Candidates should possess robust Analytical Skills and experience in Market Research to interpret complex data, identify trends, and support business and investment decisions. Candidates should possess Programming skills (e.g., SQL, Python, or similar languages) to automate data tasks and build efficient data processing solutions. Candidates should possess solid Databases knowledge, including relational and/or cloud-based database management, performance optimization, and data security practices. Additional beneficial qualifications include experience in financial services or asset management, familiarity with data governance and compliance, and strong leadership and team management capabilities. A bachelor’s degree in Computer Science, Data Science, Information Systems, Statistics, or a related field is preferred; advanced degrees or professional certifications in data or analytics are an advantage. Excellent communication skills, ability to work effectively in a remote environment, and a track record of collaborating with cross-functional teams are essential.