Khalid Alghamdi

Khalid AlghamdiManager – Business Analytics | Enterprise Data & AI, NADEC

AI that runs in production, not in slide decks.

I'm a data, analytics and AI leader in Saudi Arabia. I take use cases from idea to production and measure what they return: five years turning SABIC Finance's manual work into measured savings, and since July 2026, leading NADEC's shift from report delivery to a governed Data & AI function.

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Generative AI (LLMs)AI agents on AzureMachine learningSAP DatasphereSAP Analytics Cloud PlanningSAP S/4HANAAlteryxDemand forecastingDocument extractionFinance automation

What I'm brought in to solve

6Live in production at NADEC

AI that never leaves the pilot

I take use cases from idea to production, then measure them. At NADEC, six AI solutions are live: three I originated and three I took over and run.

See what's live

Finance teams buried in manual work

I replace manual preparation with automation and machine learning, and keep the exceptions visible for review. At SABIC, one of those builds avoided USD 4M in vendor costs.

Read the story

Analytics without priorities or trust

I decide what goes first by business value, and make the numbers provable. A seven-criteria model ranks NADEC's initiatives; 3,000+ analytics assets were validated for S/4HANA at SABIC.

See how I decide

Live in production at NADEC

Every solution below is running today. The lane shows how it reached production.

Originated by me

  • About 4,000 scanned invoices a month, prepared for posting

  • Better collections follow-up, less analyst time

  • Used for 30+ business requirements documents

Taken over when I joined, now run by me

  • Search-to-interview cycle cut from 5 days to 1

  • Built for the CEO, C-level and CHRO, grounded in approved KPIs

  • Classifies attrition reasons, linked to SAP SuccessFactors

How I decide what gets built

NADEC's initiatives are ranked on seven weighted criteria. Leadership adopted the model, and business impact and cost savings carry half the weight.

Five more criteria share the remaining 50%

Selected work

Each story covers the problem, what I did, how, and what changed.

  1. I led thisNADEC6 AI solutions live in productionFrom report delivery to a governed Data & AI functionThe team's work was organized around delivering reports. Becoming a Data & AI function meant deciding which initiatives go first, governing data quality and access, and owning AI solutions that were already in flight when I joined.Six AI solutions live; roadmap and prioritization model adopted by leadershipRead the story
  2. I built thisSABIC Finance Innovation CenterUSD 4M in vendor costs avoidedUSD 4M of vendor work, done in-house in three weeksFinance needed plant equipment linked to its asset records: more than 20 million equipment records against 200,000+ assets. The alternative was paying a vendor to do it.USD 4M in vendor costs avoidedRead the story
  3. I built thisSABIC Finance Innovation Center< 1 min for accruals that took two daysFinance work that took days, now takes minutesRecurring finance work was manual. Intercompany accruals took two days, Netback duplicate checks about four days, and monthly withholding tax about 45 hours, which left less time for review.About USD 90M of monthly accruals: two days down to under a minuteRead the story
  4. I led thisSABIC Finance Innovation Center3,000+ reports, dashboards and KPIs validated3,000+ analytics assets, proven right for S/4HANAA move from SAP ECC to S/4HANA means every report, dashboard and KPI has to be proven to still give the right answer before people rely on it.3,000+ reports, dashboards and KPIs validatedRead the story
All work, including personal and academic projects

Career

See the full experience
  1. Jul 2026 — Present

    Manager – Business Analytics | Enterprise Data & AI

    NADEC

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

  2. Jun 2021 — Jul 2026

    Senior Data Analytics

    SABIC – Finance Innovation Center

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

  3. Oct 2020 — Dec 2020

    SAP Young Professionals Program

    SAP

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

Credentials

Certified Artificial Intelligence PractitionerCertNexus, valid until Oct 11, 2028

Certified Data Management Professional — AssociateDAMA International, valid until Apr 3, 2029

See the certificates

Tell me which decision you want to improve.

I'm open to conversations about AI strategy, analytics transformation, leadership roles and speaking.

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