Wind-Fleet Digital-Twin Board Adviser

The mandate

The group’s turbine digital twin began as an engineering model, then entered predictive maintenance, availability guarantees and customer performance reports without one product boundary. Different teams use the same forecast with different confidence, while proposed paid services could convert an internal decision aid into a contractual promise. The board’s standing question is which decisions the twin may support, what evidence qualifies each use and where commercialisation creates new liability or operating duty.

The adviser will review monthly model, service and commercial evidence, meet engineering and contract owners before committees, attend four Copenhagen sessions and observe offshore service control. The cadence will challenge data coverage, fleet transferability, model drift, intervention causality, human override, warranty and availability terms, customer explanation, value attribution and update governance. Advice will separate demonstrable operational value from revenue attributed to bundled long-term service.

The appointment runs for ten months through two service-product decisions and the annual digital investment cycle. Renewal needs an explicit committee minute defining a new question after management has adopted use-specific evidence gates and contract review. The role should end when internal officers can govern model use and product promises independently; it is not ongoing validation of every analytic release or turbine forecast.

The adviser has no line authority and accepts no executive responsibility for engineering models, maintenance decisions, safety, availability commitments, customer contracts, model release, revenue recognition or capital approval. Qualified executives and engineers retain those accountabilities. The adviser may challenge evidence and document dissent but cannot validate a model, direct a turbine intervention or approve a paid service.

Conflict disclosure covers turbine manufacturers, wind operators, digital-twin vendors, service contractors, insurers, investors, customers and research bodies. The adviser will recuse from decisions involving a material current relationship, keep customer and asset data inside approved systems and accept neither product-sales commission nor downstream implementation work. No unpublished fleet insight may support another mandate.

Why the board wants this voice

Engineering measures forecast and diagnostic quality, service measures avoided downtime and commercial teams attribute contract wins, but none of those measures alone proves product value or an appropriate promise. The same model can be useful internally and indefensible contractually. Directors want an industrial digital-product operator who can connect decision evidence, customer duty and economics without turning the board into a model-review committee.

What you will own

• Challenge the twin’s permitted uses across design learning, fleet monitoring, maintenance prioritisation, availability reporting and customer advice.
• Test evidence for data coverage, model validity, fleet transfer, degradation, intervention effect, human override and uncertainty communication.
• Examine how warranty, availability, service and insurance terms change when model output influences a contractual decision.
• Separate internal operational value, bundled service retention, direct paid revenue and avoided cost using defensible attribution.
• Frame product boundaries for data ownership, update, support, explanation, customer reliance and end-of-service responsibility.
• Give directors options to retain internally, embed in service, commercialise selectively or withhold with downside explicit.
• Leave a use-case governance map linking evidence gate, accountable officer, customer promise and economic measure.

Candidate qualifications

• Has governed industrial digital twins or predictive fleet products used in consequential maintenance and commercial services.
• Understands condition data, model drift, transferability, intervention causality, human judgement and asset-level uncertainty.
• Has separated internal engineering use from customer-facing promises where warranty, availability or service liability changed.
• Can test digital-product economics without crediting every avoided event or bundled contract renewal to the model.
• Has advised boards across engineering, operations, service, legal and finance while preserving qualified technical authority.
• Communicates why the same analytic evidence may support one decision but remain inadequate for another use.

Non-negotiables

• Can attend all Copenhagen decision sessions and the agreed offshore service-control observation within ten months.
• Will disclose relationships with wind operators, turbine makers, twin vendors, contractors, insurers, customers and investors.
• Brings industrial model-product governance; visualisation, generic analytics or digital strategy experience alone is insufficient.
• Will not validate models, approve maintenance or accept contingent compensation linked to digital-service revenue.

1. 49 words maximum. Which internal digital-twin output would you refuse to convert into a customer promise?
2. 49 words maximum. How would you distinguish forecast value from the effect of the maintenance intervention it triggered?
3. 49 words maximum. What commercial use would require a different evidence gate from internal fleet planning?