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Noha BadawyNB
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Noha Badawy

@nohabadawy

Customer Success Manager at Immuta, helping regulated enterprises adopt AI-driven access control and data security.

United Kingdom
Message

At Immuta, I own the post-sale customer success lifecycle for regulated enterprise accounts using a data security and access control platform. I build adoption plans that guide customers from deployment to everyday use of attribute-based access control and AI-driven policy automation.

I use governance, usage, and risk data to identify adoption gaps and retention risks, and bring those insights into renewal planning, QBRs, and expansion conversations. I also work with financial services and public sector teams to operationalise policy-based access and privacy-by-design.

At Citibank, I advised on an AI-driven transformation programme and developed data lineage and risk-tracing frameworks that reduced regulatory training gaps by 30% and improved time-to-productivity by 25%. I also built governance dashboards and supported adoption of core platforms.

At Dataiku, I drove AI/ML platform adoption across enterprise customers, achieving 90%+ renewal rates and improving engagement by 40%. I also created AI maturity assessments, executive dashboards, and training programmes that made technical concepts practical for customer teams.

Experience

Work history, roles, and key accomplishments

Immuta logoIM
Current

Senior Customer Success Manager / Solution Architect

Nov 2025 - Present (1 year)

Owns end-to-end customer success for regulated enterprise accounts, driving adoption of AI-driven access control and building technical success plans. Leads EBRs, QBRs, and roadmap sessions, and partners with security and compliance teams to operationalize policy-based access control.

Education

Degrees, certifications, and relevant coursework

University of Westminster logoUW

University of Westminster

MA, Business Management

MA in Business Management with a thesis on AI Maturity Assessment for Enterprise GTM Strategy.

University of Westminster logoUW

University of Westminster

MSc, Data Science & Analytics

MSc in Data Science & Analytics with a focus on Business Intelligence, thesis on neural networks and deep learning applied to digital-banking migration.

Tech stack

Software and tools used professionally

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