AI Leadership · Decision Intelligence · Enterprise Transformation
Saudi Arabia · AI & Analytics Leadership
AI & Analytics Leader · Enterprise Transformation · Finance Intelligence · SAP/SAC
I connect business strategy, trusted data, responsible AI, and automation to build decision systems people can adopt and organizations can measure.
A decision map connecting finance, data, AI, governance, automation, and leadership to a central decision node. Use each button to hear its leadership role.
AISelects explainable methods that fit the business and risk context.
Leadership proof
Verified outcomes connect analytical rigor, automation, controls, and decision speed to measurable finance transformation work.
Transformation stories
Enterprise AI, finance intelligence, governed SAP analytics, product delivery, and computer vision—explained through the problem, operating choices, and outcome.
Verified finance use cases spanning intelligent matching, anomaly detection, predictive analytics, duplicate prevention, and exception-led review.
Start with the decision and control need, validate trusted inputs, test analytical logic, keep exceptions visible, and define how people will adopt and measure the workflow.
Read transformation story →A portfolio of finance automations spanning Netback, withholding tax, accruals, aging, GRIR, invoices, and asset mapping.
Case study →Multi-phase validation of finance reports, dashboards, and KPIs across SAP analytics platforms.
Case study →
04 · Independent iOS product · Live on the App StoreA bilingual detective logic game with 1,355 cases, ten investigative volumes, and complete English and Arabic RTL experiences.
Case study →A cross-platform academic prototype exploring face recognition as a secondary identity-validation layer for ATMs.
Case study →AI portfolio snapshot
Five connected practices show how Khalid moves from analytical capability to trusted enterprise adoption.
Explainable use cases, visible controls, human review, and risk-aware adoption.
Decision-ready reporting, root-cause logic, and stakeholder-aligned measures.
Repeatable preparation automated while exceptions and ownership stay visible.
Trusted definitions, validation evidence, quality controls, and reliable lineage.
Bilingual product delivery shaped around privacy, usability, release quality, and learning.
Decision Games
Try a fictional, no-upload challenge that rewards evidence, visible trade-offs, and responsible action.
AI Playground
The existing open-model vision experiments remain available with explicit upload consent, private history, comments, and deletion controls.
Career evolution
A path from operating controls and predictive analytics to KPI visibility, finance transformation, intelligent automation, and stakeholder alignment.
Feb 2023 — Present
Connects finance and technical teams around decision requirements, adoption, controls, and value communication.
Apr 2022 — Feb 2023
Translated finance-user needs into reporting criteria, validation evidence, and coordinated improvements.
Jun 2021 — Apr 2022
Created reliable KPI visibility across technical, operational, and governance stakeholders.
Oct 2020 — Dec 2020
Built the foundation for linking predictive methods, enterprise data models, and decision-ready reporting.
Jan 2009 — Jun 2012
Applied disciplined monitoring, escalation, and operating controls to visible risk decisions.
Capability + discipline
CAIP and CDMP reinforce a leadership position that treats model capability and data management as one trust system.
CertNexus · Valid until Oct 11, 2028
DAMA International · Valid until Apr 3, 2029
Executive conversation
Start a conversation about AI strategy, analytics transformation, leadership opportunities, collaboration, or speaking and workshops.