Behind the artifactsA Day in My Life

What a typical execution week actually looks like.

The phase pages show the artifacts. This is the kind of day those artifacts come out of — a representative Tuesday from the middle of Execution, the week the RAG dashboard and a 6% variance catch are both live.

7:30
AM
Coffee, then the overnight reconciliation run
  • First thing, before standup — check the dual-run reconciliation results from overnight
  • This is where I see the revenue-sum flag: Snowflake running 6% high against source — no root cause yet, just a number that shouldn't exist
8:00
AM
Data Engineering standup
  • Fifteen minutes, stand-up format, no chairs — I raise the variance immediately, not left sitting in my notebook until the RAID review
  • Team's working theory is a load bug; I ask them to check the join grain before assuming that
9:00
AM
RAID triage & blocker clearing
  • Thirty minutes I protect every day — no meetings scheduled over it
  • Log the variance in the RAID as an open issue
  • Move the Wave 3 pipeline performance flag from "monitoring" to "at risk" — the thread that becomes the Wave 3 decoupling decision two weeks later
10:30
AM
Working session with the Sales Finance SME
  • This is the meeting that produces D-07 — I bring the grain-mismatch theory, she confirms the source carries one row per opportunity per daily snapshot
  • Real question isn't technical: does "close amount" mean booked or forecasted revenue? That's her call, not mine — I make sure everyone in the room knows that going in
12:00
PM
Lunch at my desk, building the Steering deck
  • Bi-weekly steering is Thursday — I use the quiet hour to turn this week's RAG status into the two-minute version
  • Data Engineering green, BI amber on the Revenue by Segment slip, and a new line for the variance — already ruled on before it reaches the deck
1:30
PM
Design authority session
  • Ad hoc forum I chair whenever there's a model decision that can't wait for steering — today it's D-07, formally
  • Log the ruling, note that it resolves the variance, and make sure the fix routes back to the transformation logic, not a one-off patch in someone's local branch
3:00
PM
Walking the floor with QA
  • I go sit with the QA lead instead of pulling them into a meeting
  • Reconciliation suite output together — row-count parity clean, sum parity now explainable by D-07 once the fix lands
  • This is where I hear, informally, that the Wave 3 pipeline will miss its performance target — worth more than the status report that confirms it two days later
4:30
PM
Sync with the Change Lead
  • Champions network check-in — Sales' champion recruitment is behind
  • Flag it as a risk to watch, not yet an issue, and agree a recovery plan before it becomes one
  • This is the "day one, not day-of" change management I keep pointing back to
5:30
PM
Closing the loop before I leave
  • Update the decision log with D-07
  • Move the Wave 3 pipeline risk from "monitoring" to "at risk," with an owner named
  • Write two lines in my own notes about the Product Director conversation I know is coming once that pipeline slip is visible to everyone else — tomorrow's problem, but I want to walk in already knowing my answer

Why this page exists

Every artifact in this case study — the RAID log, the decision log, the RAG dashboard — is the output of a day that looked roughly like this one. None of it happens in a document; it happens in standups, hallway conversations, and one working session with the right SME at the right time. The paperwork is just where I wrote it down afterward.