Chief Data Officer — Contract-Logistics Portfolio

The mandate

A contract-logistics portfolio needs warehouse, labour, transport and customer records to agree as a foundation for reliable service. The board has planned a new Chief Data Officer seat to make operational evidence usable before the next wave of customer implementations.

Approximately 875 employees and material partners span warehouse operations, transport, customer implementation, technology, finance, quality and analytics across Singapore and regional sites. The CDO owns data strategy, governance, platforms, analytical products, responsible modelling and data capability, reporting to the Group Chief Executive or designated executive-committee sponsor. Operational and financial accountabilities remain with their authorised executives.

The initial data map will follow custody. Purchase-order receipt, arrival, unload, identification, storage, task, pick, pack, despatch and delivery events must connect to a defined object and source. The CDO will expose where spreadsheets, integrations or manual confirmations create competing versions of inventory or service state.

Authority will be explicit by decision. A warehouse system may govern physical location while a customer portal governs communication and finance governs recognised revenue. The organisation needs rules for reconciliation rather than one simplistic master. Every critical data element will have a business owner, quality expectation and escalation route.

Service measures must be contract-aware. On-time, in-full, inventory accuracy and order cycle can mean different things by customer and operating model. Data products will retain the agreed definition, exclusions and evidence alongside the result. A green dashboard produced from an internally convenient timestamp is not customer performance.

Inventory reliability requires transaction and physical proof. The CDO will connect adjustment, count, quarantine, damage and ownership status, then identify process patterns behind unexplained movement. Analytics should prioritise investigation and prevention; they must not algorithmically legitimise adjustments that no accountable operator has explained.

During incidents, data must accelerate action. A service-control product will show affected orders, inventory, customers, dependencies and confidence level. Unknown status must remain visible. The CDO will prevent teams from filling gaps with inferred completion when a customer or quality decision depends on actual evidence.

Customer implementation creates future data debt. Master data, interfaces, event mappings, historical loads and reporting definitions require acceptance before go-live. The data office will establish readiness gates and reconciliation tests, working with commercial leaders to make unresolved assumptions visible in the launch decision.

Data architecture will favour controlled products over indiscriminate centralisation. Contract, inventory, labour, task and service domains need reusable interfaces and lineage. Customer isolation, residency and contractual purpose may limit combination. The CDO will document those boundaries and reject business cases that presume all data can be pooled.

Predictive models will address specific operating choices such as workload, replenishment, risk of missed cut-off or inventory investigation. Performance must be measured against the decision and operating response. A highly accurate model that arrives after labour or transport is committed has little value.

Privacy and customer trust are essential. Employee productivity, driver, recipient and merchant information require lawful purpose, proportionality, retention and access. The CDO will involve privacy, security and workforce stakeholders before use. Individual performance action will never be based on an unexplained model score.

Supplier data deserves assurance. Automation vendors, carriers, temporary-labour systems and customer platforms provide events of variable quality. Contracts should define access, correction, retention and exit. The organisation will not become operationally dependent on a score or history it cannot inspect or recover.

Data capability belongs in operations. Site leaders and supervisors will learn to interpret quality, confidence and exception measures; data teams will spend time at the work. Embedded ownership avoids a remote analytics function declaring success while staff continue reconciling reports manually.

The CDO will establish a small, durable office with domain leads, engineers, governance and applied analytics. Priorities will be tied to service recovery and customer readiness, not a long catalogue of requested dashboards. Products without adoption or accountable decisions will be stopped.

What you will own

• Custody and service data strategy.
• Data authority, definition, lineage and quality.
• Inventory and incident-control data products.
• Customer implementation data readiness.
• Domain architecture and contractual boundaries.
• Responsible analytics, privacy and workforce use.
• Supplier data rights and recoverability.
• Data organisation, literacy and succession.

The first 12 months

Within 45 days, trace evidence behind priority service failures, name authoritative sources and surface any customer measure lacking defensible definition. Place data leads in the affected sites and current implementations.

By month six, launch custody and service-control products for the largest contracts, implement go-live reconciliation gates and assign owners to critical elements. Complete privacy review of workforce and recipient analytics.

At twelve months, reduce service-event reconciliation time by 70%, unexplained inventory adjustments by 35% and customer-report disputes by 50%. Ninety-five per cent of critical events must meet quality standards, all new implementations must pass data readiness, and five site teams should operate the products without analyst mediation.

What the sponsor will examine

• Data authority defined by operational decision.
• Contract measures carrying their evidence and rules.
• Unknown status shown during incidents.
• Customer launches gated by reconciled data.
• Models judged on timely operating decisions.
• Site leaders owning quality and use.

The person

You bring 18–22 years in data leadership across contract logistics, warehousing, supply chain, industrial services or another custody-intensive environment. Your record includes CDO-scale responsibility, inventory truth, customer data products, incident analytics, privacy and multi-country implementation.

Candidates must discuss a service failure whose apparent cause changed after reconstructing data lineage, and a metric they withdrew because its definition could not support a customer decision. This permanent Singapore role is onsite with frequent regional facility presence.

Compensation and terms

Base compensation is SGD 420,000–570,000 plus annual incentive and long-term participation linked to service evidence, inventory integrity, adoption, responsible use and data-team capability. The permanent onsite Singapore CDO reports to the Group Chief Executive or designated executive-committee sponsor. This is a planned new leadership seat.

Confidentiality

The portfolio, customers, facilities, inventory records, service incidents, system sources and data arrangements remain confidential. More detail follows eligibility, conflicts and signed confidentiality. Candidates must not contact logistics sites, customer organisations, platform providers or analytics suppliers to infer the organisation involved.