Migration governance fixed at the source, not patched after the fact.
Finding the data problem before it shipped
01 / Context
A national hospital system’s enterprise intranet modernization, supporting consumer-facing digital experiences across multiple markets — the core of it is the content migration from LumApps to SitecoreAI.
02 / Problem
Platform exports looked clean until someone actually tried to use them.
Systemic data quality issues surfaced in the exports themselves — not a content problem, an export, normalization, and ownership problem — and it needed governance controls to fix without introducing new ones.
03 / Approach
Find the real problem in the data before building anything on top of it.
04 / What I did
Set up the migration framework itself and managed the data validation, mapping, build, and QA teams while aligning content, UX, engineering, and platform teams.
Led a distributed team of 16 content specialists, and ran recurring working sessions and office hours specifically to converge on taxonomy, media library structure, and component usage rules — the decisions that are expensive to get wrong after migration.
Role: Sr. Migration Project Manager · National hospital system · Nov 2025–Apr 202605 / Outcome
The corrective governance process fixed the export issues at the source instead of patching content after the fact, and the taxonomy, media library, and component decisions locked in during the working sessions became the standard the rest of the migration built on.
06 / What I would do differently
I’d push for an export-quality audit before validation and build start, not during them — by the time the systemic issues surfaced, some downstream work had already been built on bad data and had to be redone.