About
Strategic Product Leader with 20+ years driving digital transformation, product strategy, and large scale technology programs across government and private sectors. Blend of software engineering, systems analysis, and IT management; experienced building data driven, user centric products and AI solutions while aligning with regulatory ecosystems.
Core Skills
Product Strategy & RoadmapsDiscovery & UXA/B Testing & AnalyticsSystems & Business AnalysisAI/ML Use CasesPlatform IntegrationsAgile Delivery (Scrum)Azure DevOps / JiraAPI DesignStakeholder Management
Experience
Product Manager (AI & Digital Platforms)
Nov 2023 - PresentNHC Innovation
- Own product vision, roadmap & OKRs for tenant scoring and related services in the Ejar/Sakani ecosystem.
- Lead discovery and iterative delivery (PRDs, wireframes, backlog, sprints, UAT, analytics).
- Bridge business & engineering; guide API/integration decisions (Nafath, REGA, MOJ, etc.).
- Establish product SOPs, instrumentation, and experimentation (A/B tests).
Business Analysis Team Lead
Oct 2021 - Oct 2023Sure Global Technology
- Led BA team, scoped large programs, and ensured on time delivery with UAT plans.
- Improved business processes and evaluated technologies across multiple platforms.
- Gathered & validated requirements; produced BRDs, wireframes, BPMN and architecture docs.
- Coordinated across business units; audited products & QA practices.
Senior Systems Analyst
Nov 2018 - Aug 2021Applied Computer Services (HASIB)
- Designed a government suite integrated with accounting, HR, budgeting & inventory modules.
- Authored SRS/FRS and led teams across SDLC using Azure DevOps, Jira, MS Project.
IT Manager
Aug 2013 - Aug 2018Saleh Al‑Rajhi & Partners Co. Ltd
- Directed IT strategy, cybersecurity, and operations; executed ERP and data center upgrades.
- Established governance, DR, and vendor management delivering high availability and ROI.
Publications
Classifying Astronomical Images Using Deep Learning
Research Gate , Academia, Figshare · Jan 29, 2021The investigation of applying Deep Learning algorithm in order to validate the astronomers' first step which is looking for interesting objects in a binary classification problem of determining what is real and what is not in the underlying massive astronomical data.