Chief Data Officer — Diagnostic-Instruments Business

The mandate

A diagnostic-instruments business is preparing a fleet intelligence platform intended to improve uptime, reagent planning and quality-control support. Instruments already generate telemetry, error codes, calibration and quality-control data, but collection varies by generation, market and hospital agreement. Some feeds contain identifiers or result context that may create patient-data obligations even though the intended service is operational.

Early models predict several common service events, yet performance differs by instrument age and laboratory practice. Product teams want more data to improve the model; hospitals want precise statements on collection, purpose, retention and access. Existing contracts use broad phrases written before the platform was conceived. The company must define a viable data product without assuming that every technically available field can be centralised or used for secondary development.

The Chief Data Officer will own data product, governance, architecture, stewardship, rights and value across the fleet platform and wider diagnostic portfolio. The CDO will work with quality, privacy, security, medical and product leaders, preserving their independent authority. The role must turn permissions and provenance into product design and ensure that model performance is understood across the installed population.

Approximately 500 employees and material partners sit within the data and connected-product perimeter. This urgent replacement is on site in Galway and reports to the Chief Executive or designated executive sponsor. The outgoing data leader is leaving for personal reasons and will provide limited transition support.

Why this seat is open

The former leader established the initial telemetry environment but did not remain for commercial launch and international scale. The board has enlarged the successor remit to include contractual purpose, data-product economics and customer governance, not only engineering and analytics.

What you will own

• Define the data product by use case, instrument population, field, provenance, purpose, retention, access and customer value.
• Establish a common semantic and lineage model for telemetry, error, calibration, quality-control, service, configuration and relevant contextual data.
• Lead approximately 500 employees and partners across data product, engineering, analytics, stewardship and connected data interfaces.
• Negotiate and operationalise hospital, distributor and service-partner data rights, including secondary use, derived insights, model training, deletion and audit.
• Govern predictive model development and monitoring by device generation, configuration, geography and laboratory context, with human and service decision boundaries.
• Prevent unintended patient or result data collection through minimisation, separation and explicit escalation where a use genuinely requires it.
• Build data-platform economics across connectivity, storage, engineering, model operation, service savings, uptime and customer willingness to pay.
• Create rapid affected-population and product-quality insight with quality and product teams without converting operational analytics into unsupported clinical claims.

The first 12 months

• Days 1–90: Inventory collected fields, sources, contracts and models; identify data exceeding intended purpose and contain it. Define priority use cases and baseline performance across instrument cohorts. Reset customer and product commitments that assume unavailable rights or unproven model coverage.
• Months 4–9: Implement the common model and purpose-based access, amend priority agreements and launch a bounded fleet service with representative customers. Establish model monitoring, provenance and customer controls and retire duplicate pipelines that cannot support traceability.
• Months 10–12: Demonstrate improved uptime or service planning in the launch cohort, with permission and performance evidence. Expand only to supported instrument and market populations, publish the long-term data roadmap and establish successors across product, engineering and governance.

What the board will measure

• Every data field in the launched service linked to source, purpose, permission, retention and accountable owner.
• Predictive performance reported by relevant instrument and laboratory cohorts, with drift and weak populations visible.
• Reduction in avoidable downtime or service visits supported by model and operational evidence.
• No uncontrolled collection or secondary use of patient, result or hospital data beyond contractual and lawful purpose.
• Data-platform cost and commercial value reconciled to adoption, service and uptime rather than connected-device volume.
• Customer trust evidenced by clear controls, renewals and prompt treatment of data questions or deletion requests.

The person

You are a Chief Data Officer, data-product leader, diagnostics analytics executive or connected-fleet data head with 18–22 years of experience. You have launched a data service across regulated installed equipment and negotiated institutional data rights. You have controlled at least EUR 100 million of data and analytics investment and led at least 250 employees and partners.

You understand diagnostic context sufficiently to distinguish device telemetry, quality-control, results and patient information. You can design minimisation and separation, evaluate model performance across heterogeneous fleets and explain when a prediction should inform service rather than automate a product or clinical decision.

Relevant backgrounds include diagnostics, imaging, monitoring, connected medical equipment or regulated industrial fleets. Healthcare-data candidates need physical product and service depth. Industrial candidates need credible experience with hospital data, privacy and regulated product use.

The role is on site in Galway with international customer and product travel. Candidates elsewhere may qualify with relocation and current European data experience. The CDO must be commercially constructive while prepared to narrow a product whose data rights or model evidence do not support the proposed scope.

Compensation and terms

The base range is EUR 285,000–390,000, with annual incentive and long-term participation. Measures will reflect permission, provenance, model performance, uptime value and data-product economics. This is a permanent urgent replacement. Relocation and documented forfeited awards may be considered.

Confidentiality

The company, platform, hospital data, instruments and model results are confidential. Identifying detail will be shared only after relevance and protections are established. Candidates must not contact laboratories or data partners to infer the client.

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