Kossi Ahlin Cornelus Madjri

Defined the product vision and managed the prioritized backlog for a federal IT infrastructure modernization project, translating stakeholder needs into epics and user stories that guided a team of 12 developers.
Maximized development efficiency and ROI by owning backlog grooming and sprint planning sessions in JIRA, resulting in a 40% reduction in rework and consistent on-time delivery of sprint goals.
Championed the user's voice by creating user journey maps and wireframes to visualize customer-centric workflows, ensuring development efforts aligned with user needs and business value.
Acted as the key decision-maker for product scope and requirements, managing stakeholder expectations and communicating the product roadmap to secure ongoing buy-in from executive leadership.
Validated product quality and business value by leading the UAT strategy, resulting in a successful launch with zero critical incidents and high user adoption.

Led end-to-end business analysis for mobile application development, translating complex business needs into structured user stories and acceptance criteria aligned with product vision Partnered closely with UX/UI designers to validate wireframes and prototypes, ensuring seamless alignment between user experience and business requirements Managed product backlog and facilitated Agile/Scrum ceremonies (sprint planning, daily stand-ups, retrospectives), ensuring consistent delivery velocity Spearheaded AS-IS / TO-BE process mapping and value stream analysis, identifying optimization opportunities that improved user retention and digital journey performance Defined KPI frameworks and developed Power BI dashboards to support executive decision-making and performance tracking Led UAT strategy and execution across 30+ stakeholders, reducing post-launch defects by 60% Acted as primary liaison between business stakeholders, mobile development teams, and system integrators to ensure successful app delivery Supported system integration by defining data flows, business rules, and functional dependencies across platforms

Owned the product backlog for a customer-facing mobile application, prioritizing features based on business value, technical feasibility, and feedback from 3 distinct business units.
Drove a 20% reduction in post-launch support tickets by re-architecting and documenting core CRM workflows, enhancing the customer experience and reducing operational overhead.
Collaborated closely with UX/UI designers to validate prototypes and wireframes in Figma, ensuring the final product was both intuitive and aligned with the strategic product vision.
Secured product-market fit by validating 125+ business requirements through UAT with 50+ end-users, directly leading to a successful production launch.

Led business analysis for multiple citizen-facing mobile applications as part of a $900M+ federal modernization program. Translated complex regulatory and business requirements into detailed user stories and acceptance criteria, improving development efficiency by 40% Designed and executed UAT strategies for multiple releases, identifying 90% of critical defects prior to deployment Managed product backlog and prioritized features to align with government service delivery objectives Facilitated Agile ceremonies and coordinated cross-functional teams including developers, designers, and QA for mobile app releases Established end-to-end traceability linking business objectives to system implementations using Azure DevOps Identified AI and automation opportunities including predictive insights and process optimization use cases Developed KPI reporting structures and supported data-driven decision-making through structured analytics outputs

Improved stakeholder satisfaction scores by 30% and reduced average case resolution time by 30% by optimizing a flagship Salesforce Cloud product through user workflow re-engineering and API integrations.
Accelerated feature release cycles by 25% by engineering and optimizing end-to-end CI/CD pipelines in Azure DevOps, enabling faster and more reliable deployments to production.
Secured internal buy-in and funding for a large-scale vehicle fleet management initiative by authoring technical proposals and solution architectures that demonstrated expertise in IoT and telematics data integration.

Led requirements engineering for enterprise system enhancements including ERP integrated solutions and CRM platforms Defined functional and non-functional requirements including security, scalability, and performance Performed BPMN-based process modeling and identified automation opportunities reducing processing time by 40% Supported data analysis and validation to ensure consistency and integrity across systems Contributed to AI-driven solution evaluations and vendor selection through structured RFP processes Documented Process Discovery Documents (PDDs) and functional specifications for automation initiatives

Treated the SharePoint platform as a product, leading its migration and optimization which increased system uptime by 20% for over 5,000 users, significantly improving productivity.
Shipped automated workflow features that cut manual process redundancies by 40%, directly improving operational efficiency and audit compliance scores.

Managed access controls, permissions, and data lifecycle policiesSupported cloud infrastructure and ensured system uptimeApplied ITIL practices to improve service desk performanceConducted AS-IS / TO-BE analysis and applied DMAIC methodology to improve operational workflows Delivered process optimization initiatives that increased efficiency by 40% Administered Active Directory (user accounts, permissions, security policies)Supported system and process alignment across business units ensuring governance and compliance adherence

Managed the end-to-end IT operational budget of $850K for infrastructure and services, delivering all projects within 5% of the allocated financial plan and demonstrating strong fiscal accountability.
Improved service delivery operations by supervising a team of 17 support staff and implementing a new tiered support model, which reduced average ticket resolution time by 25%.
Streamlined the IT asset lifecycle and procurement process, reducing overhead costs by 15% and improving compliance with federal asset management regulations.