Moses Katito

Results-driven Project Management and Business Intelligence professional with experience supporting and delivering projects within DLA Piper IKM Foundation, with a strong focus on project coordination, database management, process automation, data analysis, reporting, and digital transformation. Experienced in managing projects from planning and implementation through to monitoring, reporting, and evaluation, with practical experience delivering initiatives such as the Work Placement Programme, designed to provide scholars with practical workplace experience and strengthen their employability. Strong technical proficiency in Microsoft Power BI, Microsoft Excel, Power Automate, Microsoft Fabric, Airtable, Zoho applications, SQL, and R Programming, with the ability to transform operational data into actionable insights and automate repetitive business processes.

Combines a background in Economics and Statistics with technology, data, and project management skills to improve operational efficiency, strengthen decision-making, and create sustainable systems for programme management.

Project Management, Data & Automation / IT Support at DLA Piper IKM Foundation (2025-02 – Present)

Responsible for supporting the Foundation's programmes through project management, data management, business intelligence, process automation, and technology-enabled programme delivery.

• Planned, coordinated, implemented, and monitored Foundation projects and programme activities, ensuring delivery against agreed objectives and timelines.
• Successfully managed the Work Placement Programme, coordinating the placement of scholars into workplace environments to provide practical professional experience and enhance their employability.
• Developed and maintained project tracking systems covering scholars, placements, expenditure, activities, timelines, and programme progress.
• Coordinated stakeholders involved in project implementation, including scholars, departments, employers, programme teams, and other relevant stakeholders.
• Supported project reporting by consolidating programme data and translating operational information into meaningful management reports.
• Identified operational challenges and implemented technology-based solutions to improve programme efficiency and visibility.
• Successfully ran the Foundation's Work Placement Project, supporting scholars in gaining practical workplace exposure and developing professional skills.
• Developed systems for tracking scholars, placement information, departments, costs, disbursements, and programme activities.
• Established data structures that enabled the Foundation to monitor investment in work placement and assess programme performance.
• Improved visibility of programme expenditure and scholar participation through structured databases and reporting dashboards.
• Used data to support programme monitoring and provide management with information required for decision-making.
• Contributed to the Foundation's objective of improving scholar employability through practical workplace experience.
• Designed and maintained structured databases for programme and project information.
• Developed data collection and management systems using Airtable, Excel, Zoho, and Microsoft platforms.
• Improved data accuracy, accessibility, and consistency through structured database design and standardised data processes.
• Created relationships between different datasets to provide a consolidated view of scholars, programmes, expenditure, placements, and project performance.
• Supported data cleaning, validation, transformation, and reporting.
• Designed interactive Power BI dashboards to provide management with real-time and periodic insights into programme performance.
• Developed KPIs and performance indicators for monitoring project expenditure, beneficiaries, placements, demographics, and programme outcomes.
• Used data modelling and visualisation techniques to transform raw operational data into management information.
• Developed Excel-based analytical models and reporting tools for project monitoring and financial analysis.
• Applied statistical and analytical techniques using R Programming to support data analysis and predictive modelling.
• Identified repetitive manual processes and designed automation solutions to improve efficiency and reduce administrative workload.
• Developed automated workflows using Microsoft Power Automate, including data movement, notifications, approvals, reporting processes, and administrative workflows.
• Integrated business applications and databases to improve information flow between systems.
• Used Zoho applications to support CRM, programme management, workflow management, and operational processes.
• Explored and implemented modern data solutions using Microsoft Fabric to support scalable data management and analytics.

Bachelor's Degree in Economics and Statistics – Laikipia University (2019 – 2024)