Fowsiya Warsame

Strategic Leadership

• Designed and executed data operations strategies aligned with organizational and business objectives.
• Partnered with senior leadership to uncover opportunities for leveraging data to drive business value and support real-time analytics.

Team Leadership & Development

• Managed teams of up to 65 professionals across Onshore and Offshore locations, setting high-level KPIs and strategic targets.
• Fostered a culture of continuous improvement, innovation, and collaboration within the data operations team.
• Oversaw resource allocation, recruitment, and professional development to enhance team growth and performance.

Data Quality & Integrity

• Established and implemented processes and tools to ensure data accuracy, completeness, and reliability.
• Proactively identified and addressed risks related to data completeness and timeliness through advanced audits in line with industry best practices.
• Collaborated with IT developers to design and implement validation and audit procedures, including automated checks for metadata and performance calculations.
• Built deep domain expertise, strengthening the team’s knowledge and proficiency in financial data.

Automation, Monitoring, and Oversight

• Built a comprehensive manager database to monitor data availability, timeliness, and reporting methodologies, enabling efficient real-time tracking of data processing speed.
• Improved efficiency and scalability by streamlining data workflows, pipelines, and processes, resulting in a 60% increase in data timeliness, end-to-end publication within 24 hours, and a headcount reduction of over 20%.
• Managed the integration of data from multiple sources, ensuring seamless data flows across the ecosystem.
• Managed data operations budgets, vendor relationships, and technology priorities.

Innovation & Best Practices

• Stayed current with industry trends and best practices in data tracking and processing to maintain alignment with evolving standards.
• Managed the adoption of new tools, platforms, and methodologies to enhance operational effectiveness.
• Reduced operational costs by identifying inefficiencies and implementing cost-saving measures throughout the data processing lifecycle.
• Established clear KPIs and priorities, maintained schedules, and continuously monitored and refined performance metrics.