Workforce-Data Ethics Board Adviser

The mandate

A hospital network uses attrition predictions, agency-dependence scores and productivity measures to guide staffing and promotion discussions. Models combine roster, absence, patient-flow and survey data, yet employees do not know when predictions influence a decision or how to correct inaccurate histories. Clinical leaders worry that metrics penalise complex units. The board repeatedly asks which uses are legitimate, explainable and safe.

The adviser will help directors examine purpose, data provenance, worker impact, contestability and real decision behaviour without auditing algorithms or approving clinical staffing. Advice must distinguish aggregate planning from person-level intervention and recommendation from automated consequence. The board needs evidence that managers understand limitations, vulnerable groups are protected and human review is more than a nominal signature.

Three days per month cover use-case review, worker or manager listening and chair counsel; six people-and-clinical-quality meetings are included during ten months. Written observations will be supplied within three working days of each evidence session. A new person-level use cannot enter the board pack until management identifies purpose, decision owner, affected population, correction route and outcome monitoring.

The adviser has no line or executive authority, cannot approve models, access identifiable data beyond agreed samples, set staffing, make employment decisions, conduct privacy assessment or certify clinical quality. Management, data-protection officers and clinical leaders retain those responsibilities. The adviser may press for suspension criteria and independent testing but cannot operate analytics or direct employees.

The appointment is fixed for ten months and closes after two portfolio reviews. The committee may approve one two-month renewal for a delayed worker-impact assessment following refreshed independence checks. Current work for analytics vendors, staffing suppliers, unions, hospital competitors, insurers or workforce-platform investors constitutes a conflict to disclose and may require restricted papers, recusal or termination.

Why the board wants this voice

Analytics teams see model performance, clinical leaders see service pressure and HR sees workforce outcomes, but no single function represents affected-worker experience at board level. Person-level predictions can become authoritative even when formally advisory. Independent people-data governance experience helps directors ask whether a tool deserves influence before harm is embedded in routine decisions.

What you will own

• Press directors to define legitimate purpose, affected population, decision pathway and prohibited use for each analytics case.
• Test source quality, missingness, historical bias, proxy variables and label construction through workforce and operating evidence.
• Challenge whether managers understand uncertainty, alternatives and override expectations before acting on person-level outputs.
• Examine differential effects across profession, shift, disability, leave, contract type, location and high-complexity clinical unit.
• Shape worker notice, explanation, correction, contest, escalation and non-retaliation routes suited to decision consequence.
• Probe monitoring for realised retention, staffing, promotion, wellbeing and clinical outcomes rather than model accuracy alone.
• Maintain a board use-case register with conditions, unresolved questions, accountable officers and review or withdrawal dates.

Candidate qualifications

• Advised boards on people-analytics ethics and workforce decision governance in healthcare or regulated services.
• Traced model data and labels to historical work practices, missing populations and consequential proxy variables.
• Distinguished workforce planning insight from person-level employment action and designed proportionate contest routes.
• Engaged clinicians, managers, workers, unions and privacy officers without claiming their specialist authority.
• Challenged nominal human review where time, incentives or interface design made override unrealistic.
• Maintained demonstrable independence from analytics vendors, staffing firms, insurers, workforce platforms and hospital competitors throughout board review.

Non-negotiables

• Can attend six Dublin, Cork, Belfast or London evidence sessions throughout the ten-month term.
• Will disclose vendor, hospital, union, staffing, insurer and workforce-investment relationships before reviewing use cases.
• Brings board-level people-data ethics in consequential decisions; generic analytics strategy is insufficient.
• Accepts no authority over model approval, clinical staffing, privacy assessment, employment action or data operation.

1. 49 words maximum. Describe a workforce model whose apparently neutral feature reproduced a historical employment practice.
2. 49 words maximum. Which current vendor, hospital or worker-representation commitment could affect your independence?
3. 49 words maximum. What makes human review of a person-level prediction substantive rather than ceremonial?