Regulated lab software product manager
Here's what AI can do for this role — and what still needs a human. Built straight from ENSEK's own job advert, running live on my_db.fisher_demo.lims_events. Not a slide about AI. The job, getting done.
Every line on the left is lifted from ENSEK's actual job ad. If a card lacks a harvested JD line, it is omitted. On the right is the AI doing it — with eligible cards running live against the warehouse and offline inspection clearly labelled in the workspace.
“exception backlog by module and validation state — the PM's primary queue health signal for regulated release gates.”
How is the exception backlog distributed across modules and validation states — where are the Pending and Failed items that block regulatory release?
bar chart“throughput by event type — pipeline balance signal for capacity planning and bottleneck identification.”
What is the event throughput mix across the LIMS workflow — are sample processing steps balanced or is one step creating a bottleneck?
bar chart“SLA breach rate by module and user role — the quality signal the PM tracks against regulatory and customer SLA commitments.”
Which modules and user roles have the highest error rates — where is the SLA breach pressure most acute?
table“change request pipeline — INFERRED from regulatory obligation framework (ICH Q10, GAMP 5 change control). Validation runs are the regulated gating mechanism for every LIMS change.”
What is the shape of the change request pipeline — how many ValidationRun events are pending vs completed, and which modules have the deepest change backlog?
kpiThe honest other half. AI does the analysis; a person owns the decision — especially where regulation, fairness and accountability bite.
A plain-English question — the same one the job ad describes — is translated to SQL by the agentic backend.
Curated cards run server-side against MotherDuck when eligible. The workspace separately labels any local inspection path.
Runs against my_db.fisher_demo.lims_events. No synthetic numbers.
Each figure carries a falsifier — recomputed from the result set, not a stored number, so it can't quietly drift.
It's the role getting done: curated questions run live server-side against the warehouse; local inspection is labelled inside the workspace.
Open the live workspace →Provenance. Offline path: SYNTHESISED labelled 3,000-row LIMS event log (ITS-169, seed 20260611). Schema mirrors my_db.fisher_demo.lims_events. NOT real operational data. Live path (dormant): server-side MotherDuck query against fisher_demo.lims_events.
It's Sorted — I took ENSEK's job ads and didn't write a report on what AI could do. I built it. Get the rest sorted →
I'm trained on this proof and the real ENSEK: the Ignition meter-to-cash platform (seven modules), the move under Centrica in 2024, 7M+ energy accounts migrated for suppliers like British Gas and Utility Warehouse, and the Ofgem framing. Ask me how the Data Analyst function changes shape, or which open roles map to which Ignition module.