Product Data Management

We define the roles that turn your product data into a driver of revenue. And we tell you frankly whether your problem stems from people, processes, or a missing system.

Product data determines discoverability, conversion, and return rates

Product Data Management is often advertised as a pure maintenance role: someone to keep the PIM filled. Yet product data drives revenue directly, especially on marketplaces. Weak data costs revenue, and the root cause is often not a lack of staff but unclear processes or a missing system. We clarify where the real bottleneck is, then fill the role precisely.

Root cause determines the profile

The problem may sit with people, with processes, or with a missing system, and each cause calls for a different profile.
Whether you’re already rolling out a PIM or MAM, or still need someone to handle system selection and the data model, changes the profile.
Ongoing operations and a time-limited migration or cleanup project call for different placements, the latter often served well by interim specialists.

Product data roles we fill

Product Data Manager (PIM)

Owns data quality and channel-appropriate output, acting as the interface between marketing, sales, product, and IT.

PIM / MAM System Manager

Administers PIM and media asset systems, managing permissions, interfaces, exports, and data formats.

Data Governance / Data Quality Manager

Defines standards, ownership, and processes so data quality holds up permanently, not just occasionally.

PIM Implementation / Rollout Manager

Manages selection, rollout, and migration of a PIM or MAM system and gets the data model right.

Content & Catalog Manager

Owns complete, consistent product content across all channels and makes assortments marketplace-ready.

Close to the practice of digital consulting

Digilents is the sister company of the strategy consultancy FOSTEC & Company, which has advised mid-sized companies on e-commerce and digital sales for years. We know how strongly clean product data drives revenue and marketplace performance, and can tell who can own data quality operationally from who just uses the right terms.

Before you advertise a data maintenance role

Tell us about your data situation, and we’ll help you see whether people, process, or system is the real lever.

Schedule a call

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