Juned Mohammad

AI and data leader: strategy, delivery, teaching

contact@junedmohammad.com
linkedin.com/in/junedmhd
junedmohammad.com
London · Paris · Dubai

Summary

I lead data science and AI for a PE-backed infrastructure group in more than 20 countries. I hold a fractional CTO seat at a venture-backed business, and advise PE-backed firms and founders.

Current roles

Since 2026

Group principal, data science and AI

A PE-backed infrastructure group

I take initiatives from first conversation to production, and report AI value and governance to the executive and the shareholder.

Since 2024

Fractional CTO

A venture-backed catering and events business

I run technology and data with a small team. The ERP and CRM we built are now the system of record for sales and operations.

Since 2024

Independent adviser

PE-backed firms and founders in Europe and the Gulf

I advise PE-backed firms and founders, mostly on where AI is worth doing and where it is not.

Selected work

PE-backed infrastructure group

An intake and two gates for AI ideas

An intake open to anyone, a fast screen for value and feasibility, then a scoped discovery with a named owner.

PE-backed infrastructure group

Pricing set by one method, not by judgement

A pricing engine combining historical performance, market signals and commercial constraints, running inside the CRM the sales team already uses.

PE-backed infrastructure group

Credit decisions that can be reviewed

A scoring model inside the existing credit workflow, with monitoring and a defined path for overriding it.

PE-backed infrastructure group

Forecasting demand by depot

Forecasts by depot, feeding the utilisation dashboards that operations and finance both read.

PE-backed infrastructure group

A construction signal turned into a lead

A pipeline that takes the external signal, matches it to territory and account, and lands it in Salesforce as a lead.

Venture-backed catering and events business

A stack for a business running on spreadsheets

A custom ERP and CRM, a data warehouse and a BI layer, plus the first generative AI features, with a small team.

Earlier

2019 to 2026

Senior, then lead data scientist, then head of data science and AI

The same PE-backed infrastructure group

2017 to 2018

Data scientist, consulting

Deloitte, Paris

2015 to 2017

Data scientist, technology strategy

Airbus, Paris and Kuala Lumpur

Education

ESSEC Business School

Master's degree, Strategy and Management of International Business

Grenoble INP, Phelma

Master of Engineering, Engineering Physics and Applied Physics

Technische Universität München

MSc, Applied and Engineering Physics

Capabilities

  • AI and data strategy: use-case portfolios, gating, steering committees, maturity benchmarking
  • Applied machine learning: pricing, credit and risk scoring, demand forecasting, propensity and segmentation
  • Data platforms: SQL, warehousing, ELT, BI (Power BI, Metabase), Supabase, Salesforce
  • Executive education: board briefings through to full-week practitioner programmes

Languages

Urdu, French and English.