Omar Rauf

<p>Directed institutional project controls, commercial governance, and predictive forecasting for a multi-billion-dollar portfolio of complex downstream facilities, refineries, and petrochemical capital expansion programs.</p><p> Orchestrated the enterprise deployment of EcoSys integrated with SAP S/4HANA, standardizing cost-control protocols across 15+ concurrent capital projects and driving reporting latency down from 14 days to real-time.</p><p> Partnered with scheduling teams to pilot machine-learning risk intelligence (nPlan), leveraging historical portfolio schedules to identify hidden path dependencies and reduce baseline execution delays by 12%.</p><p> Established a rigorous Earned Value Management framework; delivered monthly Estimate-at-Completion (EAC) and Estimate-to-Complete (ETC) analysis that pinpointed cost variances early, preserving $18M in contingency funds.</p><p> Deployed generative scheduling models via ALICE Technologies during pre-construction phases to simulate 40+ asset-loading scenarios, compressing master construction schedules by an average of 18 days per facility.</p><p> Audited and evaluated tier-1 EPCM contractor performance architectures, cross-verifying progressive physical percent complete to mitigate scope creep and eliminate unjustified billing variances.</p>

<p>Led comprehensive project performance tracking, cost management, and change governance for a Western Canadian portfolio of heavy industrial fabrication, modular construction, and structural/equipment installation initiatives.</p>

<p>Cost engineering, scheduling integrity, and capital performance analysis for midstream infrastructure assets, including pump stations, power generation plants, and transmission lines.</p><p> Built logic-driven integrated master schedules incorporating Critical Path Method (CPM) flow, optimizing the intersection between long-lead item (LLI) procurement and structural mechanical readiness.</p><p> Configured automated variance alert mechanisms within SAP to monitor open purchase orders and major supply chain commitments against approved AFEs, preventing budget overruns before expenditure commitments materialized.</p><p> Pioneered the transition from static spreadsheet reporting to interactive Power BI capital performance dashboards, presenting decision-ready CPI/SPI insight directly to executive project directors.</p>

<p>Spearheaded daily field cost monitoring, progress measurement, and internal variance reporting frameworks for the multi-billion-dollar Sunrise SAGD upstream megaproject.</p><p> Restructured the tracking architecture for site Labor, Equipment, and Materials (LEM), implementing automated validation models to compute daily Value of Work Done (VOWD) and precise month-end accruals.</p><p> Utilized granular earned value metrics to track craft labor productivity trends, identifying early engineering and logic constraints that enabled construction leadership to reallocate crews and avoid critical path slippage.</p><p> Administered quantitative schedule and cost risk workshops, utilizing performance data trends to model contingency burn rates and accurately project completion dates.</p>

<p>Delivered advanced cost engineering analysis, budget preparation support, and variance tracking for complex refinery additions and gas-processing capital assets.</p><p> Developed comprehensive project Cost Breakdown Structures (CBS) mapped directly to corporate work packages in accordance with AACE international cost engineering recommended practices.</p><p> Generated structured cash flow projections, financial status logs, and variance exception summaries for global joint-venture partners and internal oversight boards.</p>

<p>Managed cost control tracking systems, material management frameworks, and schedule integration for major chemical plant expansions, piping debottlenecking, and multi-asset maintenance turnarounds.</p><p> Formulated foundational data mapping rules linking mechanical estimation proposals with execution tracking databases to provide visibility across major equipment overhauls.</p>