Emmanuel T Ogunrinola

About Emmanuel T Ogunrinola

Technical Program Management leader with over 15 years of experience driving large-scale infrastructure strategy across global cloud and telecommunications providers. Currently directing the Machine Learning Local Zone (MLZ) portfolio at AWS, where I specialize in transforming high-ambiguity technical challenges into scalable, automated products. I am currently spearheading a global automation initiative projected to reduce manual TPM touchpoints by up to 50% across the network build lifecycle. My career is defined by a commitment to operational velocity, having consistently reduced build cycle times by 20–25% while maintaining rigorous quality standards for global region launches.

Experience

1. Senior Network Technical Program Manager New Regions & Machine Learning Data Center Builds

   Amazon Web Services (AWS)

   Jul 2022 — Present · Seattle, WA, US

   In this role I direct the end-to-end networking lifecycle for AWS global region builds and Machine Learning Data Centers, overseeing everything from initial design and procurement to execution and reporting. My work centers on scaling infrastructure by automating manual workflows and relentlessly optimizing build quality and cycle times to meet global demand. Core impact and ongoing initiatives include- Managing the Machine Learning Local Zone (MLZ) portfolio within AWS Data Center Network Engineering. I act as the primary escalation lead for complex multi-site builds while driving organization-wide process improvements- Spearheading the Network TPM Automation initiative, where I am transforming ambiguous requirements into a structured product. This initiative is on track to reduce manual TPM touchpoints by 30–50% by Q4’2026- Accelerated ML Data Center network delivery by 18%, reducing build cycle time from 11 to 9 weeks through targeted process re-engineering- Directed all networking workstreams for the successful launch of AWS regions in Zurich (2022) and Calgary (2023)- Drove a 25% year-over-year reduction in build cycle times (2023). Enhanced reliability for early-access customers by co-developing a phased availability model and optimizing MLZ alarm management- Facilitating data-driven insights within WBR, MBR, QBR, and Operating Planning (OP) cycles to ensure technical execution aligns with executive strategy- Collaborating with cross-functional stakeholders and partners to develop repeatable, cost-effective frameworks that standardize delivery quality across the global portfolio.

Education

• Covenant University

  Bachelor of Engineering (B.Eng), Electrical and Electronics Engineering

• University of Ottawa

  Master of Engineering (M.Eng.), Electrical and Computer Engineering