Skills Risk Radar – Operate, Fund and Govern at Enterprise Scale
This session opens Day 2's Scale & Govern story with an operating pattern leaders can adopt next quarter. Lilia Hayrapetyan and Maddie Oliver unpack a Skills Risk Radar – coverage × scarcity × ramp time × concentration – and show the signal set, decision scorecard, policy-as-code controls, and finance cadence that convert alerts into funded actions. Leave with a radar spec, response scorecard and monthly note template.
- Radar definition and risk model – coverage, scarcity, ramp time and concentration, with a criticality overlay.
- Signal set and freshness SLAs – internal inventory, mobility, flight risk, learning and demand, plus market supply, wage trend and location risk.
- Alert-to-action mapping – retain, redeploy/reskill, recruit, relocate, automate or borrow, governed by a response scorecard.
- Governance and safety – policy-as-code rules, bias and privacy checks, overrides, audit trails and access control.
- Finance cadence and SWP integration – time-to-coverage and avoided-risk metrics, monthly note, and A/B/C scenarios Finance will sign.
- Define a Skills Risk Radar explainable to executives – dimensions, signals and thresholds tied to business impact.
- Link radar outputs to clear choices with owners and SLAs – retain, reskill, recruit, relocate or automate.
- Run a monthly finance-grade cadence – time-to-coverage, avoided-risk ranges with method, and adoption telemetry.
- Govern the radar safely – policy-as-code for critical roles, fairness checks, privacy posture, audit logs and rollback.
- Integrate with SWP – convert red cells into A/B/C scenarios with capacity and cost ranges for sign-off.
Why this is on the agenda
Boards and CFOs want early warning on critical capability gaps and a clear path to reduce exposure. Scarcity in priority skills, long ramp times and concentrated knowledge create operational and financial risk. A governed, finance-grade radar helps leaders choose retain, reskill or recruit options and track time-to-coverage.