Bachir Chehab.

Portfolio — Selected Work · Digital Transformation · Data & Analytics · Governance · Infrastructure

Toronto, ON, Canada · linkedin.com/in/bachirchehab · chehab.ca

[ Overview ]

Seventeen engagements across enterprise systems, data and analytics, governance, people strategy, and infrastructure — spanning higher education, healthcare regulation, financial services, private-sector consulting, and public-sector infrastructure in Canada and the UAE. Each entry expands to its full context, mandate, approach, and outcomes.

17
Engagements
6
Practice Areas
5
Sectors
20 yrs
2006 – 2025
[ 01 · Digital Transformation & Enterprise Systems ]3 engagements

Strategic ownership of platform-led change — from problem diagnosis through governance and adoption, not just software configuration.

ServiceNow Platform — Acquisition, Implementation & Governance
Student Success Centre & Lab · Rotman School of Management, University of Toronto

Manual, email-based support tracking replaced with a governed ServiceNow platform — 3,000+ tickets tracked, 24-hr SLA, 100% adoption, 80% less staff time on ticket support.

3,000+
TICKETS TRACKED
24 HR
SLA RESPONSE
100%
ADOPTION
−80%
STAFF TIME ON TICKETS
SITUATION
Manual, email-based request tracking across academic, student, and staff support — no ticketing system, low satisfaction with support responsiveness.
TASK
As Associate Director, owned the full project lifecycle: vendor selection, budget, implementation oversight, and post-implementation governance.
ACTION
Led vendor acquisition and selection; directed the implementation team and vendor partner; developed the governance framework, operational framework, and SOPs; owned post-launch performance management. Managed the full acquisition, implementation, and after-implementation lifecycle rather than performing hands-on configuration directly.
RESULT
3,000+ tickets tracked (database access, technical resource access, general resource inquiries — academics, students, staff) · 24-hour SLA response time achieved · 100% adoption rate · 80% reduction in staff time spent on ticket support.

Digitization & Digital Transformation of Services
Student Success Centre & Lab · Rotman School of Management, University of Toronto

Broader mandate than ServiceNow alone — replaced paper/email workflows with digital intake, automated routing, and performance dashboards across the Centre.

SITUATION
Services relied on fragmented, largely manual processes — paper forms, shared inboxes, spreadsheets, staff-dependent handoffs — creating bottlenecks, inconsistent delivery, duplicate data entry, limited end-to-end visibility, and weak reporting. Complemented but broader than the ServiceNow program: ServiceNow provided service-management infrastructure; this initiative drove end-to-end digitization, process modernization, and UX improvement.
TASK
End-to-end accountability for the transformation — discovery, requirements definition, technology acquisition, implementation, adoption. Defined the target-state service model, set priorities, aligned business/technology stakeholders, oversaw vendor delivery, and ensured compliance with institutional architecture, governance, privacy, security, and accessibility standards.
ACTION
Applied service-design and Lean process-improvement principles: mapped current-state user journeys, identified pain points and control gaps, redesigned priority workflows around user needs. Replaced paper/email processes with digital intake, automated routing and notifications, online scheduling, centralized service records, and performance dashboards. Led solution evaluation, systems integration, user acceptance testing, change management, staff training, and transition to operational support.
RESULT
Standardized, scalable, data-enabled digital services replaced fragmented manual workflows. Reduced administrative effort, duplicate data entry, processing delays, and reliance on individual staff knowledge. Improved accessibility, service consistency, data quality, turnaround-time visibility, and management reporting. Established a repeatable service-digitization framework and reusable technology capabilities enabling continued onboarding of additional services.

Digitization Initiative
Health Regulator · Ontario, Canada

Enterprise-wide digitization of regulatory and corporate workflows — 8–12 workflows digitized, ~25–40% faster turnaround, full audit-trail visibility.

8–12
WORKFLOWS DIGITIZED
~30%
LESS MANUAL EFFORT
25–40%
FASTER TURNAROUND
100%
AUDIT-TRAIL COVERAGE
SITUATION
Core regulatory and corporate services relied on fragmented workflows, manual data entry, email-based approvals, spreadsheets, and disconnected repositories — causing processing delays, inconsistent controls, limited end-to-end visibility, and unreliable operational/regulatory reporting.
TASK
Accountable for defining and advancing the organization's digitization agenda — assessing the technology landscape, setting transformation priorities, developing the target-state operating model, and overseeing acquisition and implementation of enabling platforms, aligned with enterprise architecture, privacy, security, accessibility, and records-management requirements.
ACTION
Applied service-design and Lean process-improvement principles: led current-state discovery, service mapping, and workflow analysis to identify control gaps, bottlenecks, and non-value-added activities. Developed future-state processes and introduced digital intake, automated routing/approvals, centralized records, role-based access, workflow notifications, audit trails, and management dashboards. Established governance for requirements, procurement, vendor management, testing, change management, training, and operational transition.
RESULT
Digitized approximately 8–12 priority workflows; reduced manual processing and administrative effort by an estimated 30%; shortened service turnaround times by approximately 25–40%. Automated audit trails provided end-to-end visibility across 100% of digitized services. Established a repeatable transformation framework for onboarding additional services and prioritizing future technology investments.
[ 02 · Data & Analytics ]3 engagements

Converting fragmented operational data into governed, decision-ready information — from institutional dashboards to client-facing decision support systems.

BI Dashboards — Power BI & ServiceNow
Rotman School of Management, University of Toronto

Consolidated ServiceNow service data into governed Power BI dashboards — 70–80% of reporting automated, 50–60% less prep time, 100% service-activity visibility.

70–80%
REPORTING AUTOMATED
50–60%
LESS PREP TIME
100%
SERVICE VISIBILITY
SITUATION
Operational and service-performance data was distributed across ServiceNow, spreadsheets, and locally maintained reports. Reporting relied on manual extraction and reconciliation, resulting in inconsistent KPI definitions, limited real-time visibility, and significant effort to prepare recurring management reports. Leadership lacked a consolidated view of service demand, workload, turnaround time, backlog, SLA performance, and user trends.
TASK
Responsible for establishing a BI capability converting operational data into reliable, decision-ready information — defining the reporting strategy, a common KPI framework, integrating ServiceNow data with Power BI, designing executive/operational dashboards, and implementing data-quality, access, and governance controls.
ACTION
Using a delivery model aligned with the CRISP-DM analytics lifecycle, DAMA-DMBOK, and dimensional-data-modelling principles, worked with stakeholders to define KPI calculation rules and authoritative data sources. Developed dashboards covering:
  • Service demand, volume, and channel trends
  • Open, resolved, and aging requests
  • Backlog and workload distribution
  • Response and resolution times
  • Service-level target attainment
  • Escalations and recurring service issues
  • User segments and utilization patterns
  • Operational capacity and resource requirements
Introduced automated refreshes, role-based access, drill-through analysis, validation/reconciliation controls, documentation, and standardized reporting definitions. Trained managers and operational teams to use insights in service reviews, resource planning, and continuous improvement.
RESULT
Automated approximately 70–80% of recurring operational reporting; reduced report-preparation time by an estimated 50–60%; gave leadership consolidated visibility into 100% of in-scope ServiceNow service activity. Standardized KPI definitions reduced reporting inconsistencies by approximately 30%; trend/backlog analysis supported an estimated 20–25% improvement in workload prioritization and service planning. Established a governed, reusable analytics foundation for performance management, forecasting, and continuous improvement.

BI & Data Visualization — Power BI
Confidential Consulting Client · Adelaide Advisory Group

Built a governed executive reporting environment from scratch — 90%+ of KPIs consolidated, 50–60% less monthly report prep time.

70–80%
REPORTING AUTOMATED
50–60%
LESS PREP TIME
90%+
KPIs CONSOLIDATED
SITUATION
Business-performance information was distributed across operational systems, spreadsheets, and manually maintained reports. Leadership lacked a consolidated view of financial and operational performance; inconsistent KPI definitions and time-consuming reconciliation reduced confidence in reporting.
TASK
As lead BI consultant, managed the engagement from discovery through implementation — translating executive decision requirements into a reporting architecture, defining the KPI framework, developing the data model and dashboards, validating with stakeholders, and enabling adoption. Worked directly with executives, functional leaders, and data owners.
ACTION
Using CRISP-DM, dimensional modelling, and data-visualization best practices, assessed available data, documented requirements, established common definitions. Used Power Query to transform/reconcile source data, built a star-schema semantic model, and created DAX measures for financial and operational KPIs. Built role-based dashboards covering:
  • Revenue, cost, margin, and profitability
  • Budget-to-actual performance
  • Sales and customer trends
  • Operational volumes and productivity
  • Performance against targets
  • Variance and root-cause analysis
  • Forecasts and emerging trends
  • Exception and risk indicators
Implemented automated refreshes, drill-through analysis, validation controls, role-based access, data dictionaries, and user documentation; trained executive and operational users.
RESULT
Automated approximately 70–80% of recurring management reporting; reduced monthly report-preparation time by an estimated 50–60%. Consolidated more than 90% of priority performance indicators into a governed reporting environment; reduced KPI discrepancies by approximately 30%. Adoption across leadership and management enabled faster variance analysis, more consistent performance reviews, and more timely resource and commercial decisions.

Strategic Decision Support Systems
Three Confidential For-Profit Clients · Adelaide Advisory Group

Three engagements — profitability, capacity planning, investment prioritization — 40–60% faster decision cycles across all three.

3
ENGAGEMENTS
40–60%
FASTER DECISIONS
100%
ALTERNATIVES ASSESSED
SITUATION
Clients relied on fragmented spreadsheets, static reports, and experience-based decision-making. Financial, operational, customer, and market data was not integrated; decision criteria were inconsistently applied; leaders had limited ability to compare alternatives, test assumptions, or evaluate the impact of different scenarios.
TASK
As lead decision-support consultant, responsible for both functional design and technical development — framing the decision problem, identifying required data and business rules, designing the analytical methodology, building models and interfaces, validating outputs, and facilitating adoption with leadership.
ACTION
Applied a structured Decision Intelligence approach (Intelligence–Design–Choice–Implementation), supplemented by CRISP-DM, driver-based planning, scenario analysis, and multi-criteria decision analysis. Across all three: defined objectives/criteria/constraints, integrated financial/operational/customer/market/risk data, built KPI hierarchies and value-driver trees, developed scoring models and decision thresholds, built forecasting/sensitivity/what-if capability, created comparable scenarios, built interactive Power BI decision interfaces, and introduced validation, assumptions registers, and governance. Facilitated executive working sessions to validate models and embed them in decision processes.
RESULT
Reduced decision-preparation and analysis time by approximately 40–60%; eliminated an estimated 50% of manual data consolidation; provided a documented basis for evaluating 100% of in-scope decision alternatives. Improved transparency, enabled rapid scenario comparison, and helped clients make more consistent decisions on profitability, capacity, resource allocation, and strategic investment.
Individual engagements
Engagement 1 — Commercial Performance & Profitability DSS
~60% faster profitability analysis · 5–10% margin-improvement opportunity identified
SITUATION
Management lacked a consistent view of profitability by customer, product, service, and business segment. Revenue was visible, but allocation of direct/indirect costs was inconsistent, making it difficult to identify value-generating activities and underperforming areas.
TASK
Responsible for designing and building a DSS integrating financial and commercial data, establishing a consistent profitability methodology, and helping leadership make pricing, customer, and portfolio decisions.
ACTION
Integrated revenue, cost, customer, product, and transaction data into a structured analytical model. Developed contribution-margin measures, cost-allocation rules, customer/product segmentation, driver trees, and sensitivity analysis. Power BI interface allowed leaders to examine profitability from enterprise level down to individual customers, products, and transactions, and test pricing/volume/cost assumptions.
RESULT
Reduced profitability-analysis time by approximately 60%; provided visibility into more than 90% of in-scope revenue and cost drivers. Identified an estimated 5–10% margin-improvement opportunity through pricing, cost management, customer segmentation, and portfolio rationalization. Leadership incorporated the model into commercial reviews and planning discussions.
Engagement 2 — Demand, Capacity & Resource-Allocation DSS
~50% faster planning cycle · 15–20% better forecast accuracy
SITUATION
Resource and capacity decisions were made through spreadsheets and historical averages. Limited ability to connect demand forecasts with staffing, operational capacity, service levels, and cost implications.
TASK
Responsible for designing the analytical framework and building a scenario-based system to improve forecasting, capacity planning, and resource-allocation decisions.
ACTION
Combined historical demand, operational volume, workforce, productivity, service-level, and cost data. Developed demand forecasts, capacity assumptions, productivity measures, constraint logic, and alternative staffing scenarios. Decision interface allowed users to test changes in demand, productivity, staffing, cost, and service targets and compare operational/financial consequences.
RESULT
Reduced planning-cycle time by approximately 50%; improved forecast accuracy by an estimated 15–20%; enabled managers to compare multiple resource scenarios within minutes rather than days. Supported better alignment between demand, capacity, staffing, service performance, and operating cost.
Engagement 3 — Strategic Investment & Initiative-Prioritization DSS
~40% faster investment evaluation · 10–15% of portfolio budget redirected to higher-value initiatives
SITUATION
Proposed investments and strategic initiatives were evaluated using inconsistent business cases and largely qualitative discussions. Decision-makers lacked a common method for comparing financial return, strategic alignment, execution risk, resource requirements, and organizational readiness.
TASK
Responsible for developing the decision framework and technical solution used to evaluate, rank, and prioritize competing investments and initiatives.
ACTION
Developed a multi-criteria decision analysis model combining financial and non-financial factors — estimated benefits, implementation cost, ROI, strategic alignment, risk, urgency, resource requirements, dependencies, and delivery readiness. Built configurable scoring weights, sensitivity analysis, scenario comparison, and portfolio-level dashboards so executives could examine how different assumptions affected investment priorities.
RESULT
Reduced the investment-evaluation cycle by approximately 40%; ensured 100% of in-scope proposals were assessed against a consistent set of criteria. Scenario analysis identified opportunities to redirect approximately 10–15% of the proposed portfolio budget toward higher-value or lower-risk initiatives. Created a documented and auditable rationale for executive investment decisions.
[ 03 · Data & IT Governance ]1 engagement

The differentiator: governance built alongside delivery, not bolted on after.

Data Management Framework
Health Regulator · Ontario, Canada

Enterprise data-governance model spanning 8–10 critical data domains — 100% of priority datasets given accountable owners.

8–10
DATA DOMAINS
100%
DATASETS OWNED
25–30%
FEWER DATA ISSUES
SITUATION
Data was distributed across multiple applications, spreadsheets, shared drives, and business units without consistent ownership, definitions, classification, quality standards, or lifecycle controls — increasing privacy, retention, reporting, and operational risk, and limiting the organization's ability to manage data as an enterprise asset.
TASK
Responsible for developing an enterprise data-management and governance framework establishing accountability, strengthening information controls, and supporting reliable regulatory, operational, and executive decision-making.
ACTION
Drawing on DAMA-DMBOK, COBIT, privacy-by-design, and records-management principles, established a governance model covering data ownership, stewardship, classification, quality, access, retention, lineage, and issue escalation. Identified critical data domains, developed common definitions and standards, assigned owners and stewards, and incorporated governance checkpoints into system acquisition, solution design, integration, reporting, and change management.
RESULT
Established ownership and stewardship across approximately 8–10 critical data domains, with accountable owners assigned to 100% of priority datasets. Standardized definitions and quality controls reduced recurring data and reporting issues by an estimated 25–30% and shortened management-report preparation time by approximately 30%. Strengthened privacy, retention, audit readiness, and the foundation for enterprise analytics and automation.
[ 04 · Operations Technology — Finance, HR & Legal ]3 engagements

Cross-functional range — one person, three enterprise domains, each with embedded controls and compliance.

SAP Concur — Expense & Travel Management
Health Regulator · Ontario, Canada

Moved 90%+ of expense workflows to a controlled digital process — ~40% faster processing, ~30% less manual Finance intervention.

90%+
DIGITAL WORKFLOW
~40%
FASTER PROCESSING
~25%
FEWER MISCODED SUBMISSIONS
SITUATION
Travel and expense processes depended on manual submissions, email approvals, supporting documents, and Finance reconciliation — limited transaction visibility, high administrative effort, and difficulty with consistent policy enforcement and audit prep.
TASK
Accountable for implementing an enterprise expense-management platform to streamline the employee experience, embed financial controls, improve reporting, and integrate with the finance environment.
ACTION
Using a delivery approach aligned with SAP Activate, coordinated requirements discovery, process standardization, configuration, testing, deployment, and stabilization. Worked with Finance, business users, technology teams, and the vendor to configure expense categories, approval hierarchies, delegated authority, policy rules, receipt management, role-based access, and financial coding. Oversaw integration, UAT, data validation, training, communications, and post-implementation support.
RESULT
Moved more than 90% of expense submissions and approvals to a controlled digital workflow; reduced end-to-end processing time by approximately 40%; lowered manual Finance intervention by an estimated 30%. Automated controls reduced incomplete or incorrectly coded submissions by approximately 25% while strengthening compliance, transparency, and auditability.

ADP HR Platform
Health Regulator · Ontario, Canada

Established a single authoritative HR system of record — 80–90% of routine HR transactions digitized, 99%+ payroll accuracy.

80–90%
HR TRANSACTIONS DIGITIZED
99%+
PAYROLL ACCURACY
~50%
FASTER WORKFORCE REPORTS
SITUATION
Employee and payroll information was managed through fragmented processes and systems, resulting in duplicate data entry, inconsistent records, manual employee-lifecycle activities, and limited workforce reporting.
TASK
Responsible for overseeing implementation of an integrated HR platform to establish an authoritative employee system of record, standardize HR processes, protect sensitive information, and improve workforce administration and reporting.
ACTION
Led cross-functional requirements gathering and mapped the employee lifecycle from recruitment/onboarding through payroll, performance, leave, organizational changes, and offboarding. Oversaw platform configuration, data cleansing/migration, role-based security, approval workflows, payroll/finance requirements, testing, training, and cutover. Incorporated privacy-by-design, segregation-of-duties, data-quality, and change-management controls.
RESULT
Digitized approximately 80–90% of routine HR transactions; reduced manual HR administration by an estimated 30%; shortened workforce-report preparation time by approximately 50%. Supported payroll accuracy above 99%; reduced onboarding and employee-change processing times by approximately 25–35%.

Clio Legal Case Management
Health Regulator · Ontario, Canada

Centralized 100% of active legal matters into one structured system of record — ~40% faster document retrieval, stronger deadline compliance.

100%
MATTERS CENTRALIZED
~40%
FASTER DOC RETRIEVAL
~30%
LESS MANUAL TRACKING
SITUATION
Legal and regulatory matters were managed through email, shared drives, spreadsheets, and locally maintained tracking tools — limiting portfolio visibility, creating inconsistent documentation practices, and increasing the risk of missed deadlines and incomplete records.
TASK
Accountable for enabling a secure, standardized legal matter-management capability to improve case oversight, document control, workflow consistency, confidentiality, and management reporting.
ACTION
Partnered with Legal and regulatory stakeholders to map the end-to-end matter lifecycle — intake, assignment, prioritization, document management, deadline tracking, communications, reporting, retention, and closure. Oversaw configuration of matter types, workflow stages, permissions, templates, notifications, metadata, and dashboards, plus privacy reviews, migration, testing, training, adoption, and operational support.
RESULT
Centralized 100% of active in-scope legal matters within a structured system of record. Reduced manual tracking and status-report preparation by approximately 30%; improved document-retrieval time by an estimated 40%; strengthened deadline compliance through automated tasks and notifications. Management gained consolidated visibility into caseload, ownership, status, and emerging risks.
[ 05 · People Strategy & Strategic Partnerships ]4 engagements

Not just a builder — leading people, founding programs, and converting institutional relationships into sustained, measurable value.

People & HR Leadership
Rotman FRT-Lab, Rotman School of Management

Built the workforce model behind 10+ concurrent annual initiatives — ~30% faster time-to-productivity for new staff.

20–25%
MORE DELIVERY CAPACITY
~30%
FASTER TIME-TO-PRODUCTIVITY
10+
CONCURRENT INITIATIVES/YR
SITUATION
Growth in the FRT-Lab's academic, experiential-learning, technology, and industry activities increased the need for a structured workforce model. Resourcing, onboarding, knowledge transfer, and performance expectations needed to evolve from informal practices into repeatable processes.
TASK
Responsible for translating the Lab's strategic priorities into workforce requirements and building the organizational capacity required to deliver its academic programs, technology operations, student initiatives, and industry partnerships.
ACTION
Developed a workforce model covering role design, recruitment, selection, onboarding, work allocation, performance expectations, capability development, succession, and knowledge continuity. Clarified responsibilities through role charters and RACI-based accountability, aligned staffing with the annual program portfolio, and established operating routines for priority setting, delivery oversight, feedback, and performance management.
RESULT
Improved delivery capacity by an estimated 20–25% without a proportional increase in administrative overhead. Structured onboarding reduced time to productivity by approximately 30% and enabled the Lab to support 10+ concurrent academic, technology, and industry initiatives annually. Strengthened role clarity, accountability, knowledge transfer, and continuity across staff and student transitions.

Rotman ESG Trading Initiative
HSBC & Rotman BMO Financial Group Finance Research and Trading Lab

Four-month sustainable-finance learning program across MENA universities — 100+ participants per cycle, 90%+ completion. Publicly confirmed: HSBC-funded, run through RPMC@HSBC and RITC@HSBC competitions.

100+
PARTICIPANTS/CYCLE
90%+
COMPLETION
15+
UNIVERSITIES
SITUATION
Established to connect sustainable-finance concepts with applied capital-markets experience, allowing participants to assess how environmental, social, and governance factors affect investment analysis, portfolio construction, risk, and trading decisions.
TASK
Served as the initiative's operational and program lead — translating the HSBC–Rotman partnership vision into an executable annual program. Coordinated faculty, students, industry partners, technology teams, and internal delivery stakeholders; accountable for planning, operational governance, technology readiness, and participant experience.
ACTION
Developed the annual operating plan, delivery schedule, participant journey, communications, controls, and stakeholder responsibilities. Coordinated recruitment/onboarding, partner and faculty requirements, trading-platform access, data readiness, learning materials, event logistics, issue resolution, and performance reporting. Led post-program reviews and incorporated feedback into subsequent cycles.
RESULT
Engaged approximately 100+ students, faculty members, mentors, and industry participants across multiple annual cycles, with participant completion exceeding 90%. Created a repeatable experiential-learning model, expanded student exposure to sustainable finance and trading analytics, and strengthened the long-term HSBC–Rotman partnership. Publicly, the 2022 cycle alone drew 140+ participants from 15 universities across the UAE, Oman, Qatar, Kuwait, Bahrain, Egypt, and Algeria.

Rotman Finance Analytics & Decision-Making League (RFADML)
Founder & Program Lead · Rotman FRT-Lab — incl. Rotman Market Simulation Challenge (RMSC)

Founded a repeatable competitive-learning pathway — 100–150 students, 20+ teams, 15+ faculty/industry judges per cycle. RMSC @ Zayed University (Abu Dhabi, 2025) drew 70+ students in a single event.

100–150
STUDENTS/CYCLE
20+
TEAMS
85%+
COMPLETION
SITUATION
Students needed a structured mechanism for applying finance, analytics, and decision-making concepts outside the classroom. Existing activities were largely event-based, without a sustained pathway for competitive learning, multidisciplinary collaboration, or progressive capability development.
TASK
As founder and program lead, responsible for defining the League's vision, operating model, governance, learning structure, technology requirements, and stakeholder network — and aligning it with the RMSC and the Lab's broader experiential-learning strategy.
ACTION
Designed a multi-stage model combining financial analysis, data interpretation, market research, team-based decision-making, and presentation skills. Established participation criteria, team structures, evaluation frameworks, competition rules, annual delivery calendars, and judging processes. Recruited faculty, practitioners, sponsors, mentors, and judges, and coordinated the required technology, communications, and event logistics.
RESULT
Engaged approximately 100–150 students organized into 20+ multidisciplinary teams across successive cycles. Mobilized 15+ faculty members, industry professionals, mentors, and judges, with participant completion exceeding 85%. Created a repeatable pathway connecting classroom learning, applied analytics, competitive decision-making, student leadership, mentorship, and employer engagement. Publicly documented instance: the April 2025 Rotman Market Simulation Challenge at Zayed University, Abu Dhabi — a one-day event with 70+ students.

IBM & Banking-Industry Partnerships
Rotman FRT-Lab

Converted institutional relationships into sustained programs — 5+ organizations, 10–15 industry-supported activities/year, 200+ students reached.

5+
ORGANIZATIONS
10–15
ACTIVITIES/YEAR
200+
STUDENTS/YEAR
SITUATION
The Lab required access to contemporary enterprise technology, industry expertise, applied use cases, and career-connected learning opportunities to keep its programs relevant to the evolving financial-services sector.
TASK
Responsible for developing and managing strategic partnerships with IBM and banking-sector organizations, converting institutional relationships into sustainable programs with measurable value for students, faculty, the Lab, and industry partners.
ACTION
Identified areas of shared strategic value, developed partnership propositions, aligned senior stakeholders, and translated partnership objectives into defined workstreams, governance structures, deliverables, and annual engagement plans. Initiatives included technology-enabled learning, applied projects, industry workshops, demonstrations, competitions, guest speakers, mentorship, and talent-engagement activities.
RESULT
Engaged 5+ technology and financial-services organizations, delivering approximately 10–15 industry-supported activities annually. Reached more than 200 students and faculty members per year, expanding access to enterprise technology, specialist expertise, applied use cases, mentorship, and employment-connected learning.
[ 06 · Infrastructure & Network Engineering ]3 engagements

Early-career technical depth — mission-critical infrastructure across finance education, ports & logistics, and multi-sector network operations in the UAE.

AUS Interactive Trading Floor
American University of Sharjah · HSBC-funded — first of its kind in MENA

Management role on a 24-seat, Bloomberg-terminal trading floor — 99.5%+ uptime during teaching hours. Publicly confirmed: launched Jan 2016 under the patronage of the Ruler of Sharjah.

20–30
WORKSTATIONS
99.5%+
TEACHING-HOUR UPTIME
SITUATION
AUS required a technology-enabled trading environment providing students with applied capital-markets experience while meeting institutional requirements for reliability, security, usability, and long-term operational sustainability.
TASK
Held a project and service-management role for the trading-floor environment, coordinating stakeholders across the university, HSBC, technology vendors, facilities, and academic users — including requirements translation, implementation oversight, operational readiness, and lifecycle management.
ACTION
Coordinated design and deployment of the trading-floor environment — workstations, displays, market-data access, network connectivity, user access, software configuration, and support arrangements. Managed dependencies across physical infrastructure, technology, vendors, and academic delivery; coordinated testing and acceptance; documented operating and escalation procedures; prepared faculty and users for adoption.
RESULT
Delivered an integrated trading floor with approximately 20–30 technology-enabled workstations, market-data and analytics capabilities, and centralized instructional displays. Achieved more than 99.5% availability during scheduled teaching activities and supported hundreds of student learning interactions annually through courses, simulations, competitions, demonstrations, and industry engagements. Publicly confirmed as the first facility of its kind in the MENA region, launched January 2016 with 24 Bloomberg terminals.

DP World — Jebel Ali Terminal 3
Network Infrastructure Lead

Led full network infrastructure delivery for one of the world's largest semi-automated container terminals — designed for 99.9%+ availability, first fiber-optic network on site.

99.9%+
TARGET AVAILABILITY
~40%
FASTER INCIDENT DETECTION
SITUATION
The Terminal 3 environment required resilient communications and infrastructure capable of supporting mission-critical port operations. Operational continuity depended on reliable network services, effective monitoring, controlled change, and rapid incident resolution.
TASK
In charge of the whole project — network infrastructure lead, responsible for supporting planning, implementation, and operational readiness. Coordinated technical teams, vendors, and operational stakeholders to ensure the solution met availability, performance, security, and scalability requirements.
ACTION
Contributed to requirements analysis, infrastructure design, implementation planning, network configuration, systems integration, testing, documentation, and service transition. Using ITIL, FCAPS, and structured project-management practices, supported availability and capacity planning, fault monitoring, escalation design, configuration control, acceptance testing, and operational handover. Delivered the terminal's first fiber-optic network, supporting the STS (ship-to-shore) and RMG (rail-mounted gantry) crane systems.
RESULT
Delivered a resilient infrastructure environment designed to support availability above 99.9%. Centralized monitoring and structured escalation improved incident-detection time by approximately 40% and reduced mean time to resolution by an estimated 25–30%. Standardized configuration, change, documentation, and handover practices strengthened operational control and production support.

Multi-Client Network Monitoring & Infrastructure
ADMA-OPCO · ADNOC · NGSCO · Abu Dhabi Courts · Dubai Media Group · UAE Armed Forces IT · UAE National Weather Agency · Etisalat

Full ownership across 8 major enterprise/government clients spanning energy, defense, media, and telecom — proactive visibility across thousands of network devices.

8
MAJOR CLIENTS
~40%
FASTER FAULT DETECTION
99.9%
AVAILABILITY TARGET
SITUATION
These organizations operated large, distributed, and business-critical environments supporting energy, government, defence, media, and telecommunications. Monitoring was fragmented across technologies and locations, limiting end-to-end visibility and proactive management of faults, performance, capacity, and service levels.
TASK
In charge of everything — responsible for assessing client environments and designing, implementing, and supporting enterprise network-management capabilities aligned with each organization's operational, availability, security, and reporting requirements.
ACTION
Using the FCAPS model (fault, configuration, accounting, performance, and security management) together with ITIL service-management practices, conducted infrastructure discovery, documented network topology, defined monitoring requirements, configured network-management platforms, integrated devices and event sources, established alert thresholds and escalation paths, and developed operational dashboards and reports. Supported root-cause analysis, capacity monitoring, configuration baselining, testing, documentation, knowledge transfer, and transition to operations.
RESULT
Delivered centralized monitoring capabilities across eight major enterprise and government clients, providing proactive visibility across thousands of network devices and infrastructure components. Improved fault-detection time by approximately 40%, reduced mean time to resolution by an estimated 25–30%, and supported availability targets of up to 99.9% for critical environments. Automated monitoring eliminated a significant proportion of manual infrastructure health checks.
[ Notes ]

On figures. Percentages and metrics reflect working estimates based on direct experience and are presented as approximate ranges where exact figures were not independently documented at the time.

Publication. Watfa, M.K., Chehab, B., Balbahaith, Z.S. — "Network Energy Reduction via an Adaptive Shutdown Algorithm," ICSEng 2014, pp. 417–422.

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