A career built toward trusted enterprise decisions.

Three roles, from predictive analytics on SAP to finance automation at SABIC and a Data & AI function at NADEC.

Jul 2026 — PresentNADEC
AnalyticsAI/MLFinanceSAPGovernanceLeadership

Manager – Business Analytics | Enterprise Data & AI

Lead Business Analytics across Finance, HR, Supply Chain, Sales and Manufacturing, with a team of 11 (5 internal, 6 external) and a seven-figure SAR budget.

Leadership lens

Decides what gets built by business value, takes AI from idea to production, and measures what each solution returns.

  • Put invoice-extraction AI into production, reading about 4,000 scanned supply-chain invoices a month and preparing them for posting.
  • Lead SmartHR (taken over on joining): five live recruitment AI agents on Azure that cut the search-to-interview cycle from 5 days to 1.
  • Lead a live GenAI workforce-analytics platform for the CEO, C-level and CHRO (taken over on joining), with an LLM chat layer grounded in approved KPIs.
  • Launched a Finance AI agent that analyzes customer invoices, payments, collections and exceptions, improving collections follow-up and cutting analyst time.
  • Rolled out a GenAI e-BRD solution, used for 30+ business requirements documents, that assesses requirements and helps generate functional specifications.
  • Set a 30/60/90/360-day transformation roadmap, adopted by leadership, covering demand management, data quality, access, dashboard certification, SLAs and value realization.
  • Introduced value-based prioritization, adopted by leadership: 7 weighted criteria, led by business impact (30%) and cost savings (20%), decide which initiatives go first.
  • Replaced workflows run through 300+ Excel files across Finance and HR with automation: about 120 hours a month saved, zero errors since launch.
Jun 2021 — Jul 2026SABIC – Finance Innovation Center
AnalyticsAI/MLFinanceSAPGovernance

Senior Data Analytics

Five years building Finance's automation and analytics capability, from the first Alteryx PoC to machine learning and the SAP S/4HANA migration.

Leadership lens

Connected Finance and technical teams around controls, validation evidence and measured savings.

  • Mapped 20M+ pieces of plant equipment to 200K+ assets in three weeks using Alteryx and machine learning.
  • Automated intercompany accruals of about USD 90M a month, cutting processing from two days to under one minute.
  • Reduced monthly withholding-tax processing from about 45 hours to 10, improving review capacity and financial control.
  • Reduced Netback expense duplication processing from about four days to under one minute through automation and workflow redesign.
  • Led validation of 3,000+ reports, dashboards, KPIs and analytics assets during the SAP ECC-to-S/4HANA migration.
  • Strengthened Finance controls through automated validation rules, exception reporting, reconciliation logic and data-quality checks.
Oct 2020 — Dec 2020SAP
AnalyticsAI/MLSAP

SAP Young Professionals Program

Completed an intensive analytics program focused on SAP Analytics Cloud, predictive models, enterprise data, and dashboard development.

Leadership lens

Built the foundation for linking predictive methods, enterprise data models, and decision-ready reporting.

  • Developed predictive-analytics models and dashboards with SAP Analytics Cloud Predictive.
  • Prepared, cleaned, and structured datasets for model implementation and dashboard development.
  • Built analytical dashboards and data flows for visualization, model interpretation, and business insights.
  • Gained practical exposure to enterprise data modeling and predictive-reporting use cases.