The hardest part of enterprise transformation isn't the technology. It's connecting executive objectives to the decision rights and data foundations that make them real.
Founder · Eng., CSP, CMLAI at NoèmeX. Ms Fathisalout leads enterprise transformation work across strategy, operations, technology, data, analytics, automation and AI.
Corporate governance · ASC-C.Dir. candidate
Ms Fathisalout has 25 years of experience across oil and gas, nuclear, chemicals and Digital & IT, combining operational engineering with enterprise technology and transformation leadership.
Experience
Ms Fathisalout is Founder of NoèmeX.* She has 25 years of experience across oil and gas, nuclear, chemicals and Digital & IT, with work spanning operational engineering, enterprise transformation, technology strategy, data, analytics, automation, machine learning and optimization.
Her career includes experience in large multinational and Fortune Global 500 environments, including Framatome (formerly Areva NP), Alstom and Air Liquide. Across these environments, she has worked where operational reliability, safety, governance and technology decisions are closely connected.
Role at NoèmeX
Ms Fathisalout has led and contributed to complex transformation programs involving finance and performance, manufacturing and plant operations, supply chain and S&OP, safety management, data governance, enterprise platforms, business intelligence and AI-enabled decision support. Her work connects executive objectives with the processes, systems, data foundations and decision rights required to execute them in practice.
At NoèmeX, Ms Fathisalout works with executives and delivery teams on corporate and technology strategy, transformation design, operating models, solution architecture, business cases, data and AI strategy, governance, analytics, automation and optimization.
NoèmeX is the operating name under which Global Data and BI Inc. provides enterprise transformation, consulting and technology services.
Related expertise
Strategy & transformation
Corporate strategy, transformation design, value cases and execution governance.
→02Data management
Governance, architecture, master data, integration and trusted information foundations.
→03AI, automation & optimization
AI readiness, machine learning, forecasting, workflow automation and optimization.
→Related expertise and perspectives.
Explore the services, business functions and perspectives most closely connected to Ms Fathisalout’s work.
Discuss an enterprise transformation challenge.
Start with the operating problem, the decisions that need to improve and the constraints the solution has to survive.