Skip to main content
Khalil Abu Mushref logo
Photo of Khalil Abu Mushref

Khalil Abu Mushref

Principal Product Manager / Product Owner | Team Lead at Digital Next

Riyadh & Abu Dhabi

Product and AI leader heading product management across a large, multi-entity government and enterprise portfolio in the GCC.

I turn enterprise strategy into shipped products through AI-enabled discovery, strong governance, and cross-functional leadership. My background spans product ownership, business analysis, business intelligence, and data science across government, healthcare, and fintech.

Reach out to learn more about my expertise

Download CV
LinkedInGitHub
Email
  • D

    Digital Next

    Principal Product Manager / Product Owner | Team Lead

    • Leading the product management team across a portfolio of 62+ government entities in Abu Dhabi, aligning roadmaps and release priorities with each entity's mandate.
    • Owning AI-enabled product strategy and discovery, translating enterprise needs into scoped, measurable AI product concepts.
    • Setting shared governance, requirement, and KPI standards so delivery stays consistent across the entire portfolio.
  • M

    Master Team

    IT Sr. Business Consultant | Product Owner

    • Led enterprise-wide consulting engagements, delivering tailored digital solutions across healthcare, government, and finance sectors.
    • Developed a Business Framework that improved delivery consistency across 60+ client software products.
    • Oversaw implementation of 30+ cross-entity systems by aligning strategy with execution and compliance.
  • C

    Cloud Solutions

    IT Business Analyst | Product Owner

    • Streamlined business requirements gathering, producing over 1,200 pages of documentation and reducing project delivery time by 70%.
    • Implemented a reporting framework with Microsoft Power Platforms, creating over 100 dashboards to enable data-driven decisions.
    • Developed a Business Analyst training program, increasing team efficiency and skill development.
  • P

    Pixelated

    IT Senior Business Analyst & BI Developer

    • Launched a tailored training program for analysts, strengthening team capabilities in BI and operations.
    • Improved data accuracy and consistency in reporting by implementing standardized documentation practices.
    • Facilitated Fintech regular workshops for stakeholders, fostering a data-driven culture and enhancing project buy-in.
  • J

    Jordan Engineers Association

    Data Scientist (Contract)

    • Conducted advanced data analysis and developed predictive models, providing actionable insights for key engineering projects.
    • Created visualizations and dashboards that translated complex data into clear, actionable insights to support decision-making.
    • Authored technical documentation for data models and algorithms, ensuring reproducibility and knowledge sharing across teams.
  • D

    Digital Cash

    Software Data Scientist

    • Built and deployed an application focusing on RESTful services with Spring Boot in an agile setting.
    • Developed data pipelines for large datasets, optimizing data flow and integration.
    • Extracted insights from application data to drive improvements and support business objectives.
  • N

    National University of Malaysia (UKM)

    Master's in Computing (Artificial Intelligence)

    • Research in AI applications for personalized oncology
    • Predicting cancer treatment outcomes and drug responsiveness
  • U

    University of Jordan

    Bachelor of Computer Engineering

    • Graduation project: Virtue mental-wellness application using AI-assisted features

Highlighted Projects

view all projects
Screenshot of IMDAD: End-to-End Procurement Platform

IMDAD: End-to-End Procurement Platform

An end-to-end procurement platform covering the full PR → RFQ → PO → delivery lifecycle. IMDAD digitizes a complete procurement policy manual with tiered approvals, letters of credit, gate passes, product recalls, and a supplier portal — driven by a configurable workflow engine and role-based access across 38 personas.

Approval Workflows
Procurement
RBAC
SaaS
Supply Chain
Screenshot of StoryIQ: Signal-to-Pass Approval Workflow

StoryIQ: Signal-to-Pass Approval Workflow

A seven-stage Product Owner, engineering, and QA workflow that connects acceptance criteria, evidence, verdicts, and an application-locked Pass Record with a SHA-256 digest for tamper detection.

Approval Workflow
Config-Driven
IQ Suite
PO/Dev/QA
SaaS
Traceable Evidence

Business Intelligence

view all dashboards
Screenshot of the Executive Insights Dashboard dashboard

Executive Insights Dashboard

A portfolio dashboard example showing how executives can organize reviewed KPIs, revenue measures, trends, and strategic context across multiple business dimensions.

Executive Analytics
Financial KPIs
KPI Monitoring
Power BI
Strategic Insights
Screenshot of the Sales Performance Analytics dashboard

Sales Performance Analytics

A sales analytics dashboard concept covering revenue breakdowns, customer segments, trend views, and drill-downs across teams, product categories, and regions.

Customer Insights
Performance Metrics
Revenue Tracking
Sales Analytics
Tableau

Machine Learning

view all ML models
Illustration for RAG & LangChain

RAG & LangChain

A retrieval-augmented generation toolkit that connects language models to selected knowledge sources. I use this pattern when exploring grounded document workflows, requirements support, and business-analysis assistants.

RAG
Knowledge Base
Document AI
Consulting
Illustration for XGBoost & Gradient Boosting

XGBoost & Gradient Boosting

A widely used gradient-boosting library for structured-data prediction and classification. It is part of my toolkit for forecasting experiments, KPI analysis, and research-oriented predictive modeling.

Predictive Modeling
Drug Response
Classification
Analytics

Recent Insights

more insights