Request the Data 2030 Summit MEA 2026 PDF Agenda
Data 2030 Summit MEA 2026 is the premier roundtable gathering the data management community in the MEA region to explore strategies, architectures, and enablement needed to turn data into a trusted foundation for intelligent and autonomous operations.
With 30+ international speakers, interactive panels, and unmatched networking, it’s the go-to event for CDOs and data leaders driving Data Governance, Quality, MDM, Enterprise Architecture, Data Products, and DataOps.
The 2026 Edition is limited to just 200 onsite participants to ensure an exclusive and impactful experience.
Thanks to our 2025 Speakers

Goran Cvetanovski
CEO & Chief Editor
Hyperight

Ammar Rajab
Metadata & Data Cataloging Lead

Dr. Mohammad Alomair
Chief Data Officer
Saudi Irrigation Organization

Dr. Mohamed Abdelhaleem
Senior Director – Health Transformation
Tawuniya Insurance

Mert Sendag
Director of Regional Data Strategy for EEMEA Region
Mastercard

Dhuha AlQawsi
Senior Data Protection Officer
NBP – National Bank of Pakistan Saudi Arabia

Iftikhar Ali Alvi
Head of Special IT Projects
Tatweer Education Holding Company

Mohammed Emad Mesherf
Data & Analytics Manager
Al Majdouie Motors

Javed A. Akbar
Chief Governance, Risk (GRC), Insurance & Data Officer
Tasnee

Majd Aldeen Masriah
Director of Enterprise Architecture
Geidea

Dr. Abeer S. Al-Humaimeedy
Vice Dean for Development and Quality
KSU-CCIS

Manar Abouhenidi
Data Management, Science & Analytics Manager
Red Sea Global

Reema Almugheera
Data Privacy Manager
Alrajhi Capital

Gabriele Obino
Regional Vice President South Europe and Middle East and General Manager
Denodo

Khader Waleed AlNoubani
Group Director – Data & AI
Geidea

Karim Lahlou
Director of Consulting Services
SBI

Nour Bou Imad
VP Operations
APGAR KSA

Abdulaziz Almanea
Founder and Chairman of the Board
Dama Saudi

Hesham Mohamed
Strategic Senior Manager for Enterprise & Government Accounts
Incorta

Dr. Reem Mahjoub
Data Governance Director, Senior Data Governance Consultant
STC

Damian Koryzna
Data & Analytics Lead at Solution BI
SBI

John Mullis
Lead Sales Engineer
Fivetran

Mohamed Touiti
Senior Solutions Engineer
Snowflake

Ibrahim Tumar
Sales Director – KSA
Snowflake

Fayçal Khalouli
CEO
TROY

Amel Ayat
Global Data Strategy
TROY

Dr. Manal Khalaf Almutairi
Director of Data Architecture @ Risk Analytics
Confidential Government

Imran Moinuddin
SVP Data & AI
VentureDive

Tomasz Jazdzewski
ML OPS eng.
Virtuslab sp. z o.o.

Mohamed Elkady
Principal Solutions Architect
Informatica – Middle East & Emerging Markets

Ahmed Tarek
Director of Sales Engineering, EMEA
Incorta

Shanawaz Janmohamed
Analytics Director
Function Group Analytics Inc.

Adel Abaji
Analytics Manager
Function Group Analytics Inc.
Martin Secher Skeem
Head of Datahub and Data Science Engineering
Saxo Bank
Director of Data Engineering
Norlys
Inga Rós Gunnarsdóttir
Chief Data Officer
The City of Reykjavík
Bente Lønnquist Busch
Head of Data Platform
Telenor Norway
Magnus Dahlbäck
Senior Director Data, AI and Platform
Voi
Fredrik Backner
Chief Data & AI Officer
Nokia
Daniel Areljung
Product Management Lead
Electrolux
Unlock the Power of Data at the Data 2030 Summit MEA!
Unlock the
Power of Data
at the Data 2030 Summit MEA!
Join us at the highly anticipated Data 2030 Summit and gain exclusive insights into the latest trends and developments in Data Management and beyond.
By attending this event, you’ll have the opportunity to discuss and learn about:
Operationalize Enterprise AI
Learn how organizations can move beyond AI experimentation toward trusted operational execution by building scalable data foundations, contextual architectures, and AI ready operating models.
Build Trusted Data Foundations
Discover how governance, ownership, metadata, stewardship, and data quality must evolve to support operational AI, intelligent automation, and enterprise wide trust at scale.
Create AI Ready Data Architectures
Explore how modern data platforms, semantic layers, master data, metadata, interoperability, and contextual intelligence are reshaping enterprise architecture for the AI era.
Turn Data Into Business Value
Learn how to operationalize trusted data into reusable data products, intelligent workflows, automation, decision intelligence, and measurable business outcomes across the enterprise.
Improve Data Quality for AI
Understand how organizations can strengthen observability, lineage, real time validation, and proactive data reliability to support trustworthy AI systems and autonomous workflows.
Modernize Data Management Practices
Gain practical insights into the latest approaches for governance operationalization, DataOps, semantic consistency, interoperability, AI enablement, and scalable enterprise data management.
Accelerate AI Readiness Across the Organization
Learn how leading enterprises are aligning business teams, data teams, architects, governance functions, and leadership around common operational AI priorities.
Reduce Complexity Across Modern Data Estates
Discover practical strategies for managing fragmented cloud, SaaS, hybrid, and legacy environments while improving scalability, interoperability, resilience, and architectural control.
Explore the Future of Enterprise Data Management
Stay updated on the latest enterprise trends including operational AI, AI agents, semantic architectures, contextual intelligence, data products, data observability, and AI ready governance.
Learn From Real Enterprise Implementations
Hear practical case studies, operational lessons learned, and implementation strategies from leading enterprises actively operationalizing trusted data and AI across their organizations.
Operationalize Enterprise AI
Learn how organizations can move beyond AI experimentation toward trusted operational execution by building scalable data foundations, contextual architectures, and AI ready operating models.
Build Trusted Data Foundations
Discover how governance, ownership, metadata, stewardship, and data quality must evolve to support operational AI, intelligent automation, and enterprise wide trust at scale.
Create AI Ready Data Architectures
Explore how modern data platforms, semantic layers, master data, metadata, interoperability, and contextual intelligence are reshaping enterprise architecture for the AI era.
Request the Data 2030 Summit MEA 2026 PDF Agenda