Director, Lifecycle Engineering

Translate the lifecycle engineering strategy into a costed, sequenced roadmap with clear deliverables, dependencies, decision points, and business outcomes, and own delivery against it.

Build and maintain the business cases, budget, and reporting for CMMS/EAM, Product Information Management (PIM)/ Product Lifecycle Management (PLM), integration, data-platform, and related capabilities; recommend priorities against operational risk, scalability, and operational value.

Operate the lifecycle data governance and design-authority process, including domain ownership, stewardship, standards, exceptions, escalation, decision forums, and adoption tracking.

Apply and maintain the target architecture, authoritative-source model, and lifecycle engineering standards so every critical data object has one system of record, one identity, and a controlled route of entry.

Own the end-to-end equipment and asset data processes from product definition through procurement, manufacture, logistics, installation, commissioning, handover, maintenance, and reliability.

Implement and enforce canonical equipment and asset identity, taxonomy, hierarchy, naming, units of measure, item-master, configuration, and BOM standards.

Lead data-cleansing, deduplication, and validation-at-source programs that replace unmanaged workbooks and free-text records with governed lifecycle objects and structured exception management.

Apply and maintain data and document acceptance gates for material readiness, receiving, commissioning completion, and handover into the asset and maintenance environment.

Own the CMMS/EAM master-data and configuration baseline, including hierarchy, class codes, criticality, PM strategy data, task plans, intervals, labor and skills, parts, closing codes, warranties, and spares.

Maintain controlled Standard Operating Procedure (SOP), Method of Procedure (MOP), and Emergency Operations Plan (EOP) libraries linked to asset class, configuration, revision, approval, and point-of-work availability.

Ensure condition data from Data Center Information Management (DCIM), Building Management System (BMS), Supervisory Control and Data Acquisition (SCADA), and operational technology systems is deterministically mapped to assets so condition-based maintenance and work orders are trustworthy.

Run the reliability learning loop across failure coding, bad-actor identification, root-cause analysis, and preventative maintenance optimization so operational learning improves maintenance strategy.

Serve as the primary escalation point and day-to-day partner for equipment and asset data, lifecycle-readiness, and process disputes across Engineering and Design, Procurement and Supply Chain, Construction and Commissioning, DC Operations and Maintenance, Reliability Engineering, IT, Platform and Data, Finance, and HSE, escalating to the VP, Systems Engineering where alignment cannot be reached.

Negotiate and enforce supplier and OFCI data and document deliverables, including submittals, FAT evidence, IOMs, serial data, spares, configuration data, and acceptance criteria.

Build, lead, and develop the Lifecycle Engineering team, including hiring, capability planning, and clear delivery ownership; partner with the Principal Engineer on standards and drive quality, adoption, and measurable outcomes.

Run a clear performance system that connects lifecycle engineering delivery to PM compliance, backlog age, spares fill rate, availability, delivery readiness, and data-quality performance, and report progress to the VP and operational leadership.