Building a data science, AI & analytics function from one role to a team
Grew analytics from a single analyst role into a multidisciplinary data science, AI and analytics team, and widened its remit from consumer to consumer plus business CVM.
Head of Data Science, AI & Analytics
I build and lead the data science, AI and analytics teams that turn telecom-scale data into revenue — 15+ years across the Middle East and Africa.
Grew analytics from a single analyst role into a multidisciplinary data science, AI and analytics team, and widened its remit from consumer to consumer plus business CVM.
Repositioned CVM analytics from reporting into an in-house AI enablement layer — models, decisioning, orchestration and local infrastructure — that serves the telco and its adjacent businesses with no licensing cost.
On-premise AI that reads customer chats for sentiment and buying intent, explains bills in plain language, and automates callbacks and ticket handling — keeping customer data in-house.
Build and run the function: shape and hire multidisciplinary teams, set the roadmap and scope, and own the executive and vendor relationships behind it.
Propensity and churn models, anomaly detection, real-time decisioning, and agentic AI — taken from proof of concept into tools the business uses every day.
Next-best-offer, segmentation, retention, and campaign uplift measurement — the analytics behind campaigns that beat revenue targets by up to 150–200%.
A self-hosted crew of AI agents — a main assistant plus specialists for content, research, and health — running on my own infrastructure with a multi-provider fallback chain.
An operations-centre style dashboard for monitoring the OpenClaw agent crew — run history, model usage, failures, and cost at a glance.
If you are hiring a leader to own data science, AI and analytics — and to build the team and systems behind it — let's talk.