Ahmed M. Elbadawy

Lead product lifecycle management, AI solution architecture, and technical delivery across the Global Data & AI and Grid Technology units, translating complex grid challenges and high-throughput sensor streams into scalable cloud-edge ML systems. Flagship Initiatives & Impact The Grid AI Lab & Noedra Ecosystem: Spearheaded product roadmaps integrating NVIDIA AI compute with grid physics to train real-time grid orchestration models. Architected ML inference pipelines into Noedra, enabling utilities to automate severe-weather forecasting, preemptive risk detection, and rapid power restoration. Delivered "Hidden Grid" analytics to optimize power-flow and dynamic line-ratings, unlocking dormant capacity without new physical buildout. DOE Genesis Mission (Autonomous Topology Control at Scale): Led product architecture for the joint DOE initiative with Los Alamos National Lab, Univ. of Virginia, and Orlando Utilities Commission (OUC). Defined data contracts and specs for reinforcement learning models to dynamically switch grid components and eliminate congestion in real time. Key Responsibilities Product Strategy & Delivery: Owned multi-quarter AI/ML roadmaps, user stories, release criteria, compute budgets, and business cases for utility-scale applications. Architecture & MLOps: Partnered with ML and power systems engineers to deploy robust ETL pipelines, feature stores, and low-latency serving across hybrid cloud and edge. Governance & Cross-Unit Alignment: Aligned standards across Global Data & AI, Grid Technology, and Applied AI Solutions CoE for secure, compliant model operations. R&D & Consortium Leadership: Orchestrated delivery across national labs, academic researchers, utility operators, and executive leadership.

Roche ran two digital ecosystems that had grown independently: the Navify Cloud Platform for healthcare professionals, and the Diabetes Care platform for patients and connected devices. Each had its own identity stack, DevOps process and governance - which meant duplicated infrastructure, Okta licensing exposure, inconsistent authentication flows and compliance risk in a GDPR and HIPAA environment. I owned the product layer across two squads: DC2 (4 backend engineers, 1 QA) on identity, DC3 (6 DevOps engineers) on platform. What I led: Full Okta to Keycloak migration across 10+ regulated healthcare applications, removing vendor lock-in and duplicated identity infrastructure. A consolidated RBAC model: multi-tenant segmentation, token lifecycle, OAuth2 and OIDC flows, redirect logic, webhook-driven identity events, SDK and API definitions for product teams, and GDPR-compliant audit logging. Release governance where there had been none - environment promotion gating (Sandbox to QA to Production), penetration-test remediation backlogs, release validation checkpoints, and an 80/20 operational-to-improvement capacity model for DevOps. Knowledge transfer under restructuring. The Santa Clara team held most of the undocumented IAM and pipeline knowledge and was being phased out. I ran forced handover sessions, shadow ownership and accelerated architecture documentation before their exit - the reason the migration survived the reorganisation. AWS cost dashboards, Grafana observability, Istio and Kubernetes upgrade governance, and log migration from Datadog to Grafana, across teams in the US, EU and India. The hardest part was not technical. It was stabilising delivery while the organisation underneath it was being rebuilt. Stack: Keycloak, Okta, OIDC, OAuth2, SAML, JWT, mTLS, Kubernetes (EKS), AWS, Terraform, Istio, ArgoCD, GitLab, Grafana, Datadog, Jira, Confluence, SAFe

Owned two AI platforms end to end across corporate lending and risk, leading a cross-functional team of 10 spanning data science, backend and frontend engineering, DevOps, QA, and risk and compliance. AI-Driven Loan Intelligence Platform Corporate credit assessment ran on spreadsheets and averaged over 30 days per approval. Rebuilt it as an AI decision system: ML predictive credit scoring, NLP parsing and sentiment analysis over annual reports and legal filings, and Explainable AI feature attribution via SHAP and LIME. Approval time cut from 30+ days to under 2 days 70% of manual credit risk reviews automated Fraud detection accuracy improved 85% over baseline Underwriter adoption of AI recommendations up 30% once explainability shipped; analyst productivity up 25% 99.9% uptime SLA held with sub-2-second risk dashboard latency AI-Powered Risk Analytics Platform Real-time portfolio monitoring with position-level transparency, cross-asset exposure analysis, and interactive stress testing under ECB, Basel III and FRTB. Regulatory and delivery governance 100% audit readiness across MiFID II, Basel III, GDPR and ECB, achieved by translating every regulatory obligation into a traceable user story backed by immutable decision logs and snapshot versioning of model outputs Full ECB compliance documentation package delivered in 9 working days under an emergency audit request, zero findings Sprint velocity up 35% and delivery predictability up 28% through SAFe ART alignment with WSJF and MoSCoW prioritisation Where I sat: product and delivery layer. I defined the problems, owned the backlog, and set acceptance criteria for model behaviour and explainability, working alongside the data science team rather than building models myself. Technologies: Python, Flask, PostgreSQL, Azure, Kubernetes, Angular, D3.js, SHAP, LIME, Jira, Confluence, SAFe

Almac Group runs four pharma services divisions — Clinical Services, Sciences, Diagnostics, and Drug Discovery — each with its own systems, its own client records, and no visibility into each other. A major client could be active across two divisions and nobody at Almac would know. Pipeline numbers were chased by email every Monday. Service requests took 48 hours just to acknowledge. I came in as Senior PM and PO to fix that. What I led: Four-week discovery across BD, Client Services, Finance, Quality, and Regulatory Affairs — current-state mapping, gap analysis, three-horizon roadmap, ROI model presented to Group CIO and Commercial Director to unlock phased budget Full programme delivery: Jira backlog, sprint goals, two-tier governance across nine stakeholder groups Consolidated Dynamics CRM, two ServiceNow instances, and Excel pipeline workbooks into Salesforce Sales Cloud and Service Cloud MuleSoft integration layer connecting Salesforce to SAP ERP, LabWare LIMS, and Veeva Vault Heroku client portal on Node.js and React for sponsor self-service 47,000+ record data migration — three-phase cleanse-and-load framework, 97.3% completeness, zero data loss UX-led adoption programme — 38% to 91% in ten weeks 12 months post go-live: Lead response: 4.5d → 1.8d · Case resolution: 11.2d → 6.4d · Forecast accuracy: ±35% → ±14% · Reporting: 15hrs → 1.6hrs · CSAT: 3.6 → 4.4/5.0 · API uptime: 99.94% · 3 legacy systems decommissioned Skills: Product Ownership · Programme Management · Salesforce CRM · MuleSoft · SAFe Agile · Stakeholder Management · Data Migration · Systems Integration Stack: Salesforce Sales Cloud · Service Cloud · Experience Cloud · Tableau CRM · MuleSoft Anypoint · SAP ERP · LabWare · Veeva Vault · Heroku · Node.js · React · Jira · Confluence

Defined and executed a 6–18 month product strategy and roadmap for digital innovation platforms supporting FinTech, AI/ML solutions, and startup commercialization, enabling scalable adoption across the MENA region and onboarding 50+ early-stage companies. Owned the full product lifecycle (ideation → discovery → backlog → launch → optimization), delivering customer-centric features that improved user adoption by 25%, increased platform retention by 18%, and enhanced ecosystem engagement. Conducted market research, competitive benchmarking, and user interviews, validating product-market fit and informing the design of scalable digital banking and RegTech features, resulting in 3 successful funding rounds for supported startups. Translated complex stakeholder and regulatory requirements into Agile backlogs and prioritized user stories, ensuring full compliance with KYC, GDPR, data governance, and financial risk frameworks. Achieved 100% audit readiness for partner integrations. Partnered with cross-functional teams (UX/UI, Engineering, QA, Business Development) to build intuitive, compliant FinTech platforms, leveraging cloud-native services (AWS, GCP, Azure) to reduce system latency by 35% and increase scalability by 40%. Implemented KPI dashboards and SQL-based analytics workflows to track adoption, engagement, retention, and operational efficiency, enabling data-driven roadmap adjustments and improved stakeholder visibility. Championed Agile at Scale practices (SAFe, Scrum, Scrumban). Fostered a user-first design culture, introducing design thinking workshops, sprint demos, and continuous feedback loops, which improved feature usability scores by 22% and accelerated time-to-market by 15%. Delivered multiple platform enhancements and new modules ahead of schedule, driving +30% user engagement and enabling seamless integration with regional financial institutions. Tools & Tech: Jira, Confluence, Miro, Microsoft 365, SQL, REST APIs, ServiceNow.

Defined and managed the full product lifecycle for a leading E-commerce and digital travel platform, integrating FinTech payment solutions and cloud-native services (AWS, GCP) to enhance platform scalability and reliability. Facilitated business requirements gathering with key stakeholders, translating needs into functional specifications and Agile user stories, ensuring alignment with Scrum and SAFe/Scrumban delivery frameworks. Led cross-functional workshops and sprint reviews, reducing requirement ambiguity by 15% and improving release delivery speed by 20%. Conducted risk assessments and mitigation planning, reducing project delays by 20% while ensuring audit readiness for PCI-DSS, GDPR, and KYC compliance in financial transactions. Analyzed workflows and implemented process automation improvements, cutting issue resolution time by 25%, improving resource utilization, and driving measurable ROI on platform enhancements. Delivered and monitored KPIs (system uptime, transaction success rate, adoption, backlog throughput), achieving 99.9% uptime SLA, improving transaction success by 20%, and reducing checkout abandonment by 15%. Championed user-first product development, refining UX/UI design, boosting monthly active users by 22%, and improving customer retention across 1,000+ airline and 100,000+ hotel integrations. Tools & Tech: Jira · Confluence · SQL · REST APIs · SDKs · AWS · GCP · DevOps (CI/CD, Docker, Kubernetes) · Miro · Design Thinking · UX/UI Collaboration.

• Collaborated with other Scrum Masters across teams to ensure consistency in processes and tools used. • Supported the development team in understanding user stories, acceptance criteria, and the definition of done. • Trained and mentored team members on thebest and most effective ways to use Scrum processes to improve efficiency and reduce production times. • Documented new features, strategies, user stories, and criteria for acceptance. • Led daily Scrum stand-ups and Agile development sprint planning meetings for multiple, concurrent projects. • Removed impediments and protected team members from interruptions and distractions to maximize productivity. • Completed thorough risk assessments and deployed management and response strategies to prevent roadblocks. • Maintained project schedules by managing deadlines and adjusting workflow. Process Consistency Across Teams: Collaborated with other Scrum Masters to ensure consistency in processes and tools, improving cross-team collaboration. Team Mentorship: Trained and mentored team members on Scrum processes, reducing production times by 10%. Impediment Resolution: Removed impediments and protected team members from distractions, maximizing productivity and focus. Risk Management: Completed thorough risk assessments and deployed response strategies, preventing potential roadblocks and ensuring project success.

• Documented all processes involved in implementing IT projects according to industry standards. • Provided ongoing training and support for end users after the launch of new systems or applications. • Identified opportunities for automation within existing processes to improve efficiency. • Evaluated existing systems' performance metrics to identify areas needing improvement. • Coordinated with stakeholders, customers, vendors, and team members to ensure successful implementation of projects. • Maintained up-to-date knowledge of industry best practices related to IT Project Management. • Created status reports detailing progress against timeline milestones and budget constraints. • Conducted meetings with team members to discuss project goals and objectives as well as assign tasks and responsibilities accordingly. • Monitored the progress of the project by tracking activities and resolving issues that arose during the execution phase. - End-User Training: Provided ongoing training and support for end users after system launches, ensuring smooth adoption and minimizing downtime. - Project Documentation Excellence: Documented all IT project processes according to industry standards, ensuring compliance and knowledge retention. - Stakeholder Coordination: Coordinated with stakeholders, customers, and vendors to ensure successful project implementation, achieving a 95% on-time delivery rate.

• Oversaw a large portfolio of projects to support teams, report progress, and influence positive outcomes for key stakeholders. • Outlined work plans, determined resources wrote timelines, and generated initial budgets as part of project scope determination. • Developed a project management roadmap to define project objectives, timelines, and milestones. • Developed and initiated projects, managed costs, and monitored performance. • Drove team success through a shared vision and recognition of quality performance. • Identified plans and resources required to meet project goals and objectives. • Modified and directed project plans to meet organizational needs. • Planned, designed, and scheduled phases for large projects.

• Coordinated resources across multiple departments and teams as needed for thesuccessful completion of projects. • Facilitated resolution of conflicts between team members when necessary. • Developed solutions to project risks and issues, meeting quality and timeline goals and objectives. • Focused on project monitoring and management by developing forecasts and tracking expenses. • Created project status presentations for delivery to customers or project personnel. • Developed and updated project plans to document objectives, technologies, schedules, and funding.