Hi A***y, I’m J***e, an HR recruiter at StrategyBrain. I came across your profile and was impressed by your 20+ years leading fleet operations,most recently at A***l B***e G***p in Dubai. We’re currently recruiting a Director of Fleet Operations and Analytics for T***l L***s, a role that leverages advanced Excel modeling, fleet software, and cross-team leadership to drive data-driven efficiency. Would you be open to a brief chat to explore if this aligns with your next career move?

Hi A***y, Great to hear you’re open to a chat. Here’s a brief overview of the role: Position: Director of Fleet Operations and Analytics Company: T***l L***s (regional leader in end-to-end supply chain solutions across the Middle East) Key Responsibilities: • Develop and execute data-driven strategies to optimize fleet utilization, cut costs, and boost service levels • Oversee daily fleet processes: scheduling, maintenance planning and supplier coordination • Build and maintain advanced Excel models and leverage fleet management software for KPI monitoring and reporting • Lead cross-functional teams (logistics, maintenance, customer service) toward seamless collaboration • Mentor and train fleet supervisors and analysts to drive continuous improvement I’m available for a 20-minute call (Gulf Standard Time) on: • Monday 9:00,11:00 • Tuesday 15:00,17:00 • Wednesday 11:00,13:00 Please let me know which slot works best, or share your preferred times. Looking forward to discussing this with you!

Hi A***y, Great,Tuesday at 15:00 GST is confirmed. Ahead of our call, here’s a closer look at the Director of Fleet Operations and Analytics role at T***l L***s: Company Snapshot • Leading regional logistics provider delivering end-to-end supply-chain solutions across the Middle East • Collaborative culture focused on innovation, data analytics, and continuous improvement Role Highlights 1. Develop and implement data-driven strategies to optimize fleet utilization, reduce costs, and boost service levels,directly addressing the real-time insights challenges you mentioned. 2. Oversee daily fleet processes, including vehicle scheduling, maintenance planning, and supplier coordination. 3. Build and maintain advanced Excel dashboards and leverage fleet management software to monitor KPIs and accelerate decision-making. 4. Lead cross-functional teams (logistics, maintenance, customer service) for seamless collaboration. 5. Mentor and train fleet supervisors and analysts to elevate team performance and operational excellence. Why This Role Matters • Impact: You’ll shape the analytics function and influence senior leadership decisions. • Growth: Significant opportunity for professional advancement and skill development, backed by dedicated BI tools and ongoing training. • Support: Access to a robust IT infrastructure, specialized fleet software, and a competitive compensation package with bonus incentives. Does this overview align with what you’re looking for? Any areas you’d like to dive into further before our chat? Looking forward to speaking on Tuesday at 15:00 GST.

Hi A***y, Great questions,here’s a snapshot: 1. Team size & structure - The Fleet Analytics unit currently comprises six specialists: one senior analyst, four data analysts focused on KPIs and reporting, and one operations coordinator. - You’d sit at the helm of this sub-team, shaping analytics strategy, driving dashboard development and mentoring the analysts. 2. Reporting line - You’ll report directly to our Vice President of Operations, with a dotted line to the Head of IT/BI to ensure smooth data integration and tool support. 3. Tools & software - We run a market-leading fleet management system with real-time telematics integration for live tracking and maintenance alerts. - For analytics and visualization, we lean on Power BI for interactive dashboards, supplemented by advanced Excel modeling for ad-hoc analysis. - Behind the scenes, our IT team maintains data pipelines that feed these tools, ensuring you,and your team,have up-to-the-minute insights. Let me know if you’d like any more detail before Tuesday’s call,looking forward to our conversation at 15:00 GST!

Hi A***y, Great questions,here’s a bit more color: 1. Telematics & data pipelines - We’re integrated with a leading, OEM-agnostic telematics provider that streams GPS, engine-health and driver-behavior data into our central fleet management platform via secure APIs. - Our IT team uses a lightweight ETL framework to ingest and cleanse both batch and real-time feeds into an Azure-hosted data warehouse. From there, event-driven microservices push alerts (e.g. maintenance warnings, geofence breaches) into Power BI dashboards and our operations portal, ensuring you and your team see actionable insights with minimal latency. 2. Key 6-month impact metrics Within the first half-year, you’d be expected to: • Boost overall fleet utilization (target uplift: 8,12%) • Reduce unscheduled downtime by improving maintenance-alert response times • Raise on-time delivery performance (measured by OTIF,on-time, in-full) • Drive down cost-per-km through route optimization and better supplier coordination • Increase dashboard adoption and data literacy among supervisors, embedding real-time analytics into daily decision-making Let me know if you’d like to drill into any of these areas before our call. Looking forward to diving deeper on Tuesday at 15:00 GST!

Hi A***y, Great questions,here’s a bit more detail: 1. Telematics provider We partner with a leading, OEM-agnostic telematics vendor (publicly recognized across multi-brand fleets). For confidentiality reasons I can’t share the exact name before a formal NDA, but it delivers GPS, engine-health and driver-behavior streams via secure APIs into our platform. 2. ETL architecture • Batch loads and historical data pull are handled in Azure Data Factory, feeding our Azure-hosted data warehouse. • Real-time ingestion and event-driven alerts run on a lightweight custom microservices layer that cleanses and pushes data into Power BI and our operations portal with minimal delay. 3. Alert-latency SLA We target 99 %+ of critical alerts delivered within 60 seconds and 98 % within 2 minutes for standard warnings. Latency is monitored end-to-end in our portal dashboard, with automated retries and escalation if thresholds are missed. 4. Maintenance-warning thresholds Thresholds follow OEM-recommended service intervals (mileage or engine-hours) and are typically set at ~80 % of those intervals to give a proactive buffer. We also trigger alerts on specific fault-code events or anomaly patterns flagged by the telematics feed. Let me know if you’d like to unpack any of these before our call on Tuesday at 15:00 GST,or if you’d prefer a quick tech-team intro post-call to dive even deeper. Looking forward to it!

Hi A***y, Great questions,here’s a high-level view: 1. Tech stack & versioning • Our custom microservices layer is containerized (Docker) and runs on Azure Kubernetes Service. • All service code and database migration scripts live in Git; schema/version changes are managed via automated CI/CD pipelines that apply versioned migrations during each release. 2. Daily data volumes • We ingest several million telematics and operational events per day (GPS pings, engine-health, driver-behavior), with peak loads spiking higher during busy periods. 3. Data-engineering support • We have a dedicated team of three data engineers within our IT/BI organization who own the ETL pipelines, ensure data quality and scalability, and collaborate closely with the Fleet Analytics unit. If you’d like an even deeper technical walkthrough,say, a 15-minute post-call with our lead data engineer,I’d be happy to arrange it. Looking forward to diving in on Tuesday at 15:00 GST!