About Job:
This role is designed for a senior, on-site operations leader who will lead the end-to-end Reference Data operation for a country or strategic function (with eCommerce as a primary focus), ensuring scalable delivery through standardization, automation enablement, and global collaboration.
The role requires close, in person engagement with teams to ensure delivery stability, quality discipline, and rapid execution of improvements. The role requires strong alignment with Global and cross-Regional teams to ensure consistent adoption of standards, tools, and best practices, while representing local operational needs in global forums.
You will own production stability and quality, while actively shaping how product data is structured, improved, and automated—working closely with regional/global stakeholders and client-facing teams.
Responsabilities:
- Lead the end-to-end Reference Data operation for a country or strategic function (with eCommerce as a primary focus), ensuring monthly delivery, SLAs, and quality standards.
- Manage capacity planning and execution across workflows (intake, coding/classification, quality controls, publishing).
- Challenge existing ways of working and lead operational change to improve efficiency, control, and longterm sustainability
- Identify opportunities to simplify, standardize, and enable automation across coding/classification and attribute enrichment processes.
- Translate operational pain points into clear requirements and business cases for Global product and support teams.
- Support the adoption of global tools and pilots, tracking impact on quality, cycle time, and productivity.
- Lead complex Reference Data initiatives involving multiple teams and dependencies.
- Act as a regional SPOC for global programs, coordinating intakes and improvement plans.
- Communicate progress, risks, and decisions at local, regional, and global levels.
- Partner with Commercial teams and clients to resolve operational issues and escalations.
- Ensure structured incident management and proactive prevention of client-impacting issues.
- Support client discussions on data readiness and quality improvements.
- Own operational KPIs: volume, reprocess/QE rates, cycle time, and global compliance metrics.
- Drive efficiency initiatives across people, process, and tools.