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Manufacturing / Engineering Company

Release Train Engineer & Delivery Lead

iwow took on the roles of Release Train Engineer (RTE) and Delivery Lead for the Data & Analytics area, unifying the release process across all delivery teams, improving dependency handling, and significantly increasing delivery predictability against business commitments.

Manufacturing Company — RTE and Delivery Lead
Key Outcomes
Unified Release Process

A single, coherent release process established across all delivery teams in the Data & Analytics area, replacing fragmented and unpredictable delivery.

Increased Delivery Predictability

Delivery predictability against business stakeholder commitments improved substantially through structured planning and dependency management.

Multiple D&A Applications Delivered

Several Data & Analytics applications delivered end-to-end, from backend to frontend, within the Sales domain and across the cluster.

Challenge

The client struggled with fragmented and unpredictable deliveries within the Data & Analytics area. Teams lacked a unified release process, dependency handling between DevOps teams was poor, and delivery against business commitments was inconsistent — eroding stakeholder confidence in the programme.

How iwow Helped

iwow took on two complementary roles: as Release Train Engineer, leading the overall coordination of deliveries and releases across the Data & Analytics area; and as Delivery Lead, directly leading the Data & Analytics DevOps team within the Sales domain.

  • Unified the release process for all delivery teams in the Data & Analytics area
  • Improved dependency handling between DevOps teams in the cluster
  • Coached the DevOps team to adopt agile principles in planning, execution, and follow-up
  • Established structured planning cadences to improve commitment reliability
  • Fostered a culture of learning and continuous adaptation within teams
Results
  • Unified release process across all Data & Analytics delivery teams
  • Improved dependency handling between DevOps teams in the cluster
  • DevOps team successfully adopted agile principles in planning, execution, and follow-up
  • Increased delivery predictability against commitments to business stakeholders
  • Improved team efficiency through a culture of learning and adaptation
  • Several Data & Analytics applications delivered from back-end to front-end

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