Executive Finance Portfolio · MENA & GCC · 2026
Strategic Finance Business Partner · Finance Transformation Leader
Senior finance professional with 8+ years driving financial performance, ERP modernization, FP&A leadership, and AI-enabled finance operations across multi-site manufacturing, international trading, and healthcare in Egypt and the UAE. Proven architect of finance transformation programs delivering 17% OPEX reduction, 25% cash flow forecasting precision uplift, 30% data integrity gain, and zero-finding audit outcomes across multiple fiscal years and jurisdictions.
A boardroom-ready finance executive bridging technical accounting rigor with digital transformation leadership across two regulatory regimes — UAE and Egypt — and the four highest-demand finance hiring lanes in MENA 2025–2026.
Five reinforcing identities that together form a single boardroom-ready finance executive — not an accountant scaling up, but a transformation leader operating at finance-controller cadence today.
Six competency clusters mapped to proficiency anchors — every line backed by a quantified achievement elsewhere in this portfolio.
LEGEND · ●●●●● Expert · ●●●●○ Advanced · ●●●○○ Proficient
A digital-finance toolkit organized by stakeholder use case — from transactional ERP backbone to executive-grade visualization to next-generation AI automation.
Odoo ERP (4+ yrs · Expert · Porta People certified) — finance, AP/AR, inventory, multi-currency · custom dashboard development with PostgreSQL backend.
QuickBooks Desktop · SAP & Oracle literacy · ERP migration playbooks · chart of accounts redesign aligned to IFRS & UAE FTA.
Power BI — DAX measure authoring · star schema modeling · 10+ executive dashboards · MindLuster certified.
Looker Studio · single-page KPI dashboards · scheduled distribution.
Excel Advanced · VBA automation · PivotTables · Power Query · Edraak 6-course specialization.
Microsoft SQL Server & T-SQL — Edraak / Arab Bank 4-course Specialization · custom queries for Power BI extracts.
PostgreSQL · Linux server administration · custom Odoo report development.
Anthropic AI Fluency · Claude Code in Action · Claude 101 — certified by Anthropic for production-grade prompt engineering and finance automation.
One Million Prompters (Dubai Future Foundation) · ChatGPT for Management Accounting · AI Automation Kickstart · AI in Accounting (Oxford).
IFRS Diploma (Nabraas) · IAS · GAAP · Egyptian Accounting Standards · UAE Federal Tax Authority compliance · Egyptian Tax Authority filings.
Internal Auditing CPD-certified (Alison) · audit committee readiness · SOX-lite control frameworks.
CMA Part 1 coursework — Preparing External Financial Reports (Edraak).
CMA Part 2 Aligned — Strategic Financial Management (MindLuster).
Advanced Financial Modeling (ACCA, 2024) · Cost Accounting · Construction Accounting · Business Plan & Financial Feasibility Study.
Each role rewritten using the formula: Action Verb + Business Scope + Method + Technology / Tools + Quantified Impact + Strategic Outcome. Zero generic responsibilities.
The numbers a hiring manager reads first — every figure traceable to a specific engagement and verifiable through references.
Six pillars that together define a modern finance operating model — moving from manual, reactive accounting to AI-augmented, predictive, decision-engine finance.
Manual ledgers → Odoo ERP + Power BI executive layer · automated bank reconciliation · 3-tier AP approval workflow · multi-currency engine · IFRS-aligned chart of accounts.
+25% data accuracy · −30% manual time
Static annual budgets → rolling forecasts · 13-week cash projections · scenario modeling · margin-bridge waterfalls · price/volume/mix variance decomposition.
+25 pp forecast accuracy
Monthly PDFs → 10+ live Power BI dashboards · MD-level scorecards · drill-through navigation · RAG flagging · bilingual Arabic insight layer.
+20% decision quality
Manual reporting → Claude + custom Python scripts · variance commentary · AR follow-up letters · monthly close memos · reconciliation anomaly detection.
8 hrs/week recovered
Reactive prep → SOX-lite framework · standardized audit documentation · UAE FTA + ETA compliance · transfer pricing awareness · multi-year clean opinions.
0 material findings · multi-year
3 direct reports · structured KPI scorecards · cross-functional partnership with sales, procurement, operations · MD-office advisory cadence.
+15% team productivity
Each case follows the McKinsey-grade structure: Problem → Analysis → Solution → Implementation → KPI Impact → Strategic Business Outcome.
Disconnected manual workflows across AP/AR/GL/inventory · 3-currency complexity (AED/EGP/USD) · 25%+ data error rate · 2-day reconciliation backlog · cross-jurisdiction audit exposure (UAE FTA + Egyptian Tax Authority).
Process mining surfaced 11 redundant manual touch-points · 40% of journal entries required correction within 7 days · multi-currency conversions performed in spreadsheets, creating reconciliation noise and audit findings risk.
Phased Odoo ERP automation: (i) Chart of accounts redesign aligned to IFRS + UAE FTA · (ii) Multi-currency engine activation · (iii) Automated bank feed reconciliation · (iv) AP 3-tier approval workflow · (v) End-user training program.
Months 1–2: COA & multi-currency · Months 3–4: AP/AR automation · Months 5–6: Bank reconciliation · Month 7: Training + go-live · Month 8+: Hyper-care & continuous improvement.
Data accuracy: +25 pp · Manual processing time: −30% · AP cycle: −20% · Audit findings: 0 · VAT/CT violations: 0 across 2 fiscal years · ~15 hrs/wk capacity recovered.
Eliminated penalty-risk exposure · enabled the 17% OPEX reduction through visibility · positioned the finance function as a strategic business partner · clean audit opinions every cycle.
MD relied on monthly PDFs delivered T+15 · zero live profitability or cash visibility · cash flow forecast accuracy ~75% · finance function operating reactively, not predictively · no SKU-level decision support.
Data audit revealed Odoo GL contained the answers but lacked a presentation layer · KPIs were calculated manually in Excel each month · MD's decision cadence lagged the financial reality by 15+ days.
Designed and deployed a 10-dashboard Power BI executive layer connected directly to Odoo via SQL/PostgreSQL · standardized DAX measure library · Arabic RTL insight boxes · weekly auto-refresh · drill-through to GL detail.
Week 1–2: Star schema data model · Week 3–4: KPI catalog & DAX library · Week 5–6: Dashboard build & design system · Week 7: UAT with MD office · Week 8: Go-live + training + adoption support.
Decision-support quality: +20% · Cash flow forecasting accuracy: 75% → 100% (+25 pp) · Close cycle: T+15 → T+5 · 10+ live executive dashboards · MD review cadence weekly (was monthly).
MD now leads weekly financial reviews from a live dashboard · proactive working capital interventions · reduced reliance on emergency funding · finance promoted from cost-center to decision-engine.
Three engagements where direct financial-performance levers — OPEX, working capital, and collections — produced measurable, defensible business impact.
OPEX growing faster than revenue · operating margin under compression · zero category-level visibility into cost drivers · vendor concentration risk in 2 high-spend categories.
Granular variance and category review identified 4 expense families with structural inefficiency · vendor count fragmented · no PO-matching controls · early-payment discounts left on table.
Re-tendered top-spend categories · consolidated vendors · introduced PO-matching controls in Odoo · early-payment discount protocol · monthly cost-review cadence with operations leadership.
Q1: Vendor mapping & spend baseline · Q2: Re-tender + consolidation · Q3: Control deployment in Odoo · Q4: Cadence rollout + early-payment discount activation.
OPEX: −17% with no service-quality degradation · Vendor count: −35% · PO-matching coverage: 100% · AP cycle: −20%.
Operating margin and EBITDA contribution lifted directly · stronger vendor terms · predictable cash outflows · finance positioned as commercial-leverage partner.
Cash flow forecasting accuracy ~75% · frequent reliance on emergency credit facilities · CCC elevated · reconciliation backlog across banking, AR, and AP sub-ledgers.
Reconciliation gap analysis · sub-ledger ↔ GL mismatch traced to four root causes · cash conversion cycle decomposition revealed DSO drift in two customer segments.
Re-engineered multi-step reconciliation workflows · 13-week rolling cash forecast model · automated bank feed integration · weekly cash council with operations and sales.
Month 1: Process redesign · Month 2: Forecast model build · Month 3: Bank feed integration · Month 4+: Weekly cash council cadence.
Forecast accuracy: 75% → 100% (+25 pp) · CCC: −11 days YoY · Emergency credit drawdowns: eliminated · WC unlocked: ~EGP 8.2M (illustrative).
Funded inventory build for peak season from operating cash · improved supplier negotiating position · MD office gained predictive cash visibility for the first time.
Collection rate from 15+ insurance providers dragging cash position · DSO elevated · ad-hoc follow-up · claim rejection rate high due to documentation gaps.
AR aging analysis revealed concentration in 90+ day bucket · zero systematic follow-up cadence · documentation pack lacked standardization across insurers.
Designed 3-tier follow-up protocol (T+30 / T+60 / T+90 escalation) · standardized claim documentation pack · weekly insurance-by-insurance dashboard · escalation pathway to legal.
Month 1: Protocol design · Month 2: Documentation standard rollout · Month 3: Dashboard + cadence · ongoing: weekly review.
Collection rate: +18% · DSO: meaningful compression · 90+ AR bucket: declined steadily · claim rejection rate: reduced.
Cash position improved · reduced reliance on credit · improved provider relationships · finance function recognized as a strategic enabler of clinical operations.
Four production-grade AI-assisted finance workflows built on Anthropic AI Fluency, Claude Code in Action, and the One Million Prompters Initiative (Dubai Future Foundation) credentials. Aggregate impact: ~8 hours/week recovered finance capacity.
Workflow: Power BI variance numbers → Claude prompt with CoA context → narrative commentary in Arabic + English.
Time: 3 hrs/month → 20 min review.
~2.5 hrs/month recovered
Workflow: Aging report → Claude prompt with customer history → personalized bilingual reminder letter, legal-aware tone graduated by aging bucket.
Time: 1.5 hrs/week → 15 min review.
~5 hrs/month recovered
Workflow: Close package → structured Claude prompt → executive memo with variance highlights, risks, and proposed actions for the MD.
Time: 2 hrs/month → 25 min.
~1.5 hrs/month recovered
Workflow: Bank statements + GL → Python script with rule-based + LLM-assisted anomaly flagging → review-only exceptions queue.
Time: 8 hrs/month → review only.
~6 hrs/month recovered
A ten-dashboard executive analytics framework — every dashboard with a defined audience, KPI catalog, refresh frequency, and decision use-case.
KPIs: EBITDA, EBITDA Margin %, EBITDA Growth %, EBITDA Bridge.
Audience: MD / Board · Refresh: Monthly.
Use: Operating leverage assessment, scenario planning.
KPIs: Variance EGP, Variance %, RAG flags, Top-10 variance lines.
Audience: Department heads · Refresh: Monthly.
Use: Accountability cadence, course correction.
KPIs: Cash balance, available facilities, FX exposure, debt service coverage.
Audience: CFO / MD · Refresh: Daily.
Use: Liquidity management, hedging decisions.
KPIs: DSO, DPO, DIO, Cash Conversion Cycle, NWC days.
Audience: Controller / Operations · Refresh: Weekly.
Use: WC optimization, inventory and credit decisions.
KPIs: Operating CF, Investing CF, Financing CF, Free Cash Flow, 13-week forecast.
Audience: CFO / Treasury · Refresh: Weekly.
Use: Self-funding capacity assessment.
KPIs: Aging buckets (0–30 / 31–60 / 61–90 / 90+), top overdue customers/suppliers.
Audience: AR/AP leads · Refresh: Daily.
Use: Collection escalation, payment prioritization.
KPIs: Gross Margin %, Operating Margin %, Margin Bridge (Price/Volume/Mix/Cost).
Audience: Commercial / Finance · Refresh: Monthly.
Use: Pricing decisions, product portfolio strategy.
KPIs: Forecast vs Actual %, MAPE, bias, hit-rate by category.
Audience: FP&A · Refresh: Monthly.
Use: Forecast model calibration.
KPIs: SKU-level contribution margin, customer profitability, channel margin.
Audience: Commercial / Finance · Refresh: Monthly.
Use: SKU rationalization, customer-mix shift.
Total Revenue (vs PY %) · Gross Margin % (vs Budget RAG) · EBITDA (EGP + %) · Net Profit (vs Target) · Cash Balance (+ 30-day forecast).
Monthly Revenue Trend (line · 12 months · budget overlay) · Cost Breakdown (stacked bar · Materials/Labor/Overhead) · Margin Bridge (waterfall · Price/Volume/Mix/Cost).
SKU Profitability (horizontal bar · sorted by margin) · Cash Flow Waterfall (Op/Inv/Fin) · Financial Ratios Table (Actual vs Benchmark · 12 ratios with RAG flags).
Enterprise-grade analytics architecture — from data ingestion to executive distribution — built for governed financial reporting at GCC scale.
Each visualization specified across four dimensions: Purpose · KPI Used · Executive Insight · Business Interpretation. The discipline that separates a finance dashboard from a data dump.
Track 12-month revenue trajectory vs Budget vs Prior Year on a single canvas.
Total Revenue (EGP M), Revenue Growth %, Budget Attainment %.
Identifies seasonality, demand peaks, and trough months — drives inventory build cadence.
"Q4 surge of +X% above budget signals seasonal strength → inventory build-up plan triggered for FY2026 Q4 starting July."
Decompose monthly OPEX into Materials · Labor · Overhead · Other.
Total OPEX, Cost Mix %, Materials-to-Revenue Ratio.
Pinpoints structural cost drivers and inflation pass-through pressure.
"Materials at X% of OPEX → supplier consolidation + long-term contract negotiation prioritized for Q1 FY2026."
Decompose YoY gross margin movement into Price · Volume · Mix · Cost components.
Gross Margin % (start vs end), Component Variances (pp).
Reveals which lever drove margin gain or loss — critical for next pricing cycle.
"Cost-side gain of +X.X pp offset by labor inflation of −Y.Y pp → automation case for next CapEx cycle."
Track EBITDA EGP value (bars) and EBITDA margin % (line) over 24 months.
EBITDA, EBITDA Margin %, EBITDA Growth %.
Distinguishes scale effects from operational leverage.
"EBITDA up X% but margin flat → growth is volume-led, not efficiency-led → operational leverage program proposed."
Visualize cash generation and deployment by activity type.
Net Operating CF, Investing CF, Financing CF, Net Cash Movement.
Distinguishes self-funded vs externally-funded growth profile.
"Operating cash covered all CapEx and debt service → balance-sheet de-risking continues into FY2026."
Compare actuals to budget across major P&L lines with RAG flags.
Variance EGP, Variance %, RAG Status.
Surfaces accountability hotspots month-over-month.
"Marketing line +X% over budget without proportional revenue lift → ROAS audit triggered."
Monitor DSO, DPO, DIO, and Cash Conversion Cycle on a single panel.
DSO, DPO, DIO, CCC (days), NWC days.
Links operational discipline to cash health.
"CCC compressed by Z days YoY → ~EGP X M unlocked working capital → reinvested in inventory build."
Visualize aged buckets (0–30 / 31–60 / 61–90 / 90+) by customer or supplier.
AR Aging by Bucket, % Past Due, Top-10 Overdue, Concentration %.
Surfaces collection risk and payment-terms abuse.
"X% of AR sits in 90+ bucket concentrated in 3 customers → escalate to legal collection and tighten credit limits."
Track forecast vs actual accuracy by category and forecast horizon.
Forecast Accuracy %, MAPE, Bias, Category Hit-Rate.
Identifies systemic forecast bias requiring model recalibration.
"Beverage category persistently 12% under-forecast → seasonality model adjustment + safety-stock rule update."
A working preview of the executive layer described in §13 — KPI cards · sparklines · primary charts · ratio governance table · Arabic insight overlay. Illustrative dataset for hiring-manager preview.
| Ratio | Actual | Benchmark | Trend YoY | Status |
|---|---|---|---|---|
| Current Ratio | 2.18× | 1.50× | ▲ +0.22 | ABOVE |
| Quick Ratio | 1.42× | 1.00× | ▲ +0.18 | ABOVE |
| Cash Ratio | 0.48× | 0.30× | ▲ +0.09 | ABOVE |
| Gross Margin % | 38.4% | 32.0% | ▲ +2.1 pp | ABOVE |
| EBITDA Margin % | 17.4% | 14.5% | ▲ +1.6 pp | ABOVE |
| Net Margin % | 10.0% | 8.5% | ▼ −0.4 pp | AT RISK |
| ROA | 9.8% | 7.2% | ▲ +1.1 pp | ABOVE |
| ROE | 21.6% | 15.0% | ▲ +2.4 pp | ABOVE |
| Inventory Turnover | 9.2× | 7.5× | ▲ +0.6× | ABOVE |
| DSO (days) | 34 | 45 | ▼ −6 | BETTER |
| Cash Conversion Cycle (days) | 52 | 68 | ▼ −11 | BETTER |
| Debt-to-Equity | 0.42× | 0.65× | ▼ −0.08 | BETTER |
Formal academic foundation reinforced by a 38-certification professional development portfolio spanning management accounting, ERP systems, AI fluency, and financial governance.
Menoufia University — Faculty of Commerce · Egypt. Active Member, Egyptian Society of Accountants and Auditors (ESAA). Egyptian Armed Forces — Honorable Discharge with Good Conduct rating; reserve duty expires March 2027.
The single paragraph hiring partners across UAE, KSA, Qatar, and Egypt should remember.