Summary
Overview
Work History
Education
Skills
Certification
LANGUAGES
Timeline
Generic

Arwa Alamoudi

Riyadh

Summary

AI Product Manager with a strong engineering foundation and a Distinction MSc from University College London. Proven experience in leading AI product development, managing cross-functional teams, and aligning AI solutions with business goals. Passionate about delivering value through product strategy, data science, and agile execution. Seeking opportunities to drive impactful digital transformation in AI-forward organizations.

Overview

13
13
years of professional experience
1
1
Certification

Work History

AI Product Manager (Title: Advanced Analytics Professional)

Zakat, Tax, and Customs Authority
03.2022 - Current
  • Led the activation of the Advanced Analytics department, establishing its strategic roadmap and delivery model.
  • Collaborated with stakeholders and vendors to identify high-impact opportunities and integrate AI into business operations.
  • Led the development and execution of multiple AI products across use cases such as prediction, optimization, and natural language processing (NLP) among different departments, aligning technical solutions with organizational priorities and user needs.
  • Communicated project updates to stakeholders at all levels.
  • Owned product documentation, user research, and continuous validation processes to drive performance and adoption.
  • Served as Acting Director for 5 months, overseeing team performance, strategic execution, and cross-functional coordination.
  • Represented the Authority at the WCO Conference in Hanoi (Oct 2023), sharing insights on AI implementation in the public sector

Software Engineering Lecturer

King Saud University
06.2012 - 02.2022
  • Taught core software engineering courses and mentored 2 award-winning graduation projects.
  • Chaired the faculty load distribution committee and represented the college in external partnership initiatives.

Data & Platform Specialist

Averroes
06.2021 - 08.2021
  • Developed scalable data infrastructure supporting analytics and AI initiatives for customs-related data.
  • Designed and implemented ETL pipelines and data lake using SQL and Apache Spark to prepare data for downstream modeling.
  • Delivered 4 hands-on training to data analysts and AI teams on tools like JupyterHub, Superset, Jenkins, and MinIO.
  • Produced statistical reports for executive stakeholders and validated data quality.

Education

MSc - Software Systems Engineering

University College London
London
01.2015

Diploma - English for Academic Purposes

University College London
London
01.2014

BSc - Information Technology

King Saud University
Riyadh
01.2012

Skills

  • AI Product Strategy: Product lifecycle, roadmap development, user research, strategic alignment, problem-solving
  • Data & AI: Machine Learning, NLP, Data Science, Power BI
  • Programming & Tools: Python (pandas, pySpark, scikit-learn), SQL, GitHub, Jupyter
  • Project Management: Agile, KPI tracking, cross-functional coordination
  • Leadership & Communication: Stakeholder alignment, executive presentation, mentoring, effective communication, teamwork and collaboration, time management

Certification

  • Leading Teams - MIT - Feb 2025
  • AI Product Management 101 - Maven - April 2024
  • Advanced AI Product Leadership - Maven - April 2024
  • Strategy Management - Adaa - Oct 2022
  • Machine Learning Engineer - Udacity - Dec 2021
  • Data Science Program - General Assembly - May 2020

LANGUAGES

Arabic - Native
English - Full Professional Proficiency

Timeline

AI Product Manager (Title: Advanced Analytics Professional)

Zakat, Tax, and Customs Authority
03.2022 - Current

Data & Platform Specialist

Averroes
06.2021 - 08.2021

Software Engineering Lecturer

King Saud University
06.2012 - 02.2022

MSc - Software Systems Engineering

University College London

Diploma - English for Academic Purposes

University College London

BSc - Information Technology

King Saud University

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