Juned Mohammad
AI and data leader: strategy, delivery, teaching
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
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.
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.
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
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.
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.
Credit decisions that can be reviewed
A scoring model inside the existing credit workflow, with monitoring and a defined path for overriding it.
Forecasting demand by depot
Forecasts by depot, feeding the utilisation dashboards that operations and finance both read.
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.
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
Senior, then lead data scientist, then head of data science and AI
The same PE-backed infrastructure group
Data scientist, consulting
Deloitte, Paris
Data scientist, technology strategy
Airbus, Paris and Kuala Lumpur
Education
Master's degree, Strategy and Management of International Business
Master of Engineering, Engineering Physics and Applied Physics
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.