Data Product & Engineering Consultant — Lead Data Platform

United Nations; New York (NY); On-site; USD 96,000 - 165,000; Part time

Job summary

United Nations Joint Staff Pension Fund – Office of Investment Management is seeking a Data Product and Engineering Consultant to lead the TPV analytics build. You will define the semantic layer, data dictionary, source POVs, and technical data model, and deliver a dynamic dashboard prototype to validate directions with stakeholders.

The role emphasizes incremental delivery, clear ownership, and documented decisions, with close collaboration across data stewards and business users to align on

Qualifications

• Deliverables defined: Work plan and operating cadence with scope, timeline, stakeholders, decision points, risks, and escalation path.
• TPV semantic layer and data dictionary with definitions, attributes, grain, formula, inputs, lineage, and ownership.
• Source assignment and Data POVs linking data points to authoritative sources, with data quality assessment and decision rationale.
• Technical requirements and data model backlog-ready covering data model implications, transformations, refresh, quality checks, dependencies, and prototype logic.
• Dynamic TPV dashboard prototype with interactive capabilities and data source validation.

Responsibilities

• Review current TPV dashboard plan and propose incremental delivery aligned with the data platform.
• Define source system mappings and Data POVs with ownership.
• Capture technical requirements and data model backlog for implementation.
• Develop dynamic TPV dashboard prototype and validate user interactions.
• Prepare handover pack and knowledge transfer for the OIM team.

Job description

United Nations Joint Staff Pension Fund – Office of Investment Management is seeking a Data Product and Engineering Consultant to lead the TPV analytics build. You will define the semantic layer, data dictionary, source POVs, and technical data model, and deliver a dynamic dashboard prototype to validate directions with stakeholders.

The role emphasizes incremental delivery, clear ownership, and documented decisions, with close collaboration across data stewards and business users to align on