Abdulrahman AlQallaf

Decluttering my mind into the web ...







How Many Data & AI Professionals Should an Organisation Have?

date posted: 2026-Oct-28, last edit date: 2026-Oct-28


This is a question I kept coming back to in my previous role. How many people should my department have? And more broadly, how many data professionals should we have across the bank?

At one point, I launched a public survey to get a better idea of what other organisations were doing. I didn’t get many responses, though, and it didn’t really answer the question.

It came up again in a recent interview when I was asked about the size of my team at the bank. That brought me back to the same question: how do we know what size is appropriate?

I also remembered a passage in Thomas Redman’s book Getting in Front on Data, where he offers an approach to thinking about staffing for data management. So I decided to explore the question more systematically, starting with Kuwait’s banks.

Working with ChatGPT and publicly available information, I mapped 278 Data & AI professionals across nine Kuwaiti banks. It’s an incomplete picture, but hopefully a useful starting point.

Explore the full analysis — the bank-by-bank breakdown, role classifications, placement charts, method notes and sources.

Explore the interactive analysis →





# Post Title ⇅ Date Posted ⇅ Last Edit Date ⇅
1 current post -- How Many Data & AI Professionals Should an Organisation Have? 2026-10-28 2026-10-28
2 [Medium Article] What Is Information Actually Worth? 2026-09-06 2026-09-06
3 [Medium Article] The Database and AI Revolutions: A Useful Parallel 2026-08-29 2026-08-29
4 [Medium Article] 12 Years in Data & AI: Lesson #2 — How Organizational Structure Determines Data & AI Success 2026-03-18 2026-03-18
5 [Medium Article] 12 Years in Data & AI: Lessons Organizations Keep Learning the Hard Way 2026-03-07 2026-03-11
6 [Medium Article] Kuwait's Addition to the FATF Grey List — Why Implementation Matters More Than Regulation 2026-02-18 2026-03-11
7 Explainable Artificial Intelligence (XAI) 2022-12-17 2026-10-28
8 New tools for data analysis (ipython-sql and Azure Data Studio) 2021-10-16 2021-10-16
9 How to setup a remote jupyter server 2021-10-13 2026-02-02
10 How to setup ZSH 2021-10-12 2021-10-12
11 Concepts in Data Architecture 2021-05-01 2026-02-02
12 Loading data into PostgreSQL reference 2021-03-19 2026-02-02
13 SQLite <--> Pandas reference 2021-03-15 2021-03-15
14 Creating an automated data mart (in SQL) 2020-07-16 2020-07-16
15 Personal finance management and open banking 2020-07-12 2020-07-12
16 Quick SQL reference 2020-07-03 2026-02-02
17 How to back up Digital Ocean Spaces (S3 compatible storage) 2020-06-07 2020-07-03
18 PostgreSQL initiation 2020-05-25 2020-06-01