Operational Data Manager

About the company

Company Overview / Employee Value Proposition The client manages FPSO fleet operations, focusing on asset and operational data governance to ensure data integrity, compliance, and secure aggregation across engineering, maintenance, and digital platforms.

Your tasks

The Operational Data Manager oversees governance, integrity, and trustworthiness of all asset and operational data across the FPSO fleet. This role establishes data standards and compliance frameworks for project teams, vendors, and operational functions, covering engineering handover and daily operations data.

• Own and implement the data governance framework and standards for all asset and operational data across the FPSO fleet, from engineering handover to real-time operations
• Govern operational data across historian, SCADA / DCS, IIoT, condition monitoring, maintenance, reliability, production, inspection, and integrity systems
• Define and enforce governance principles for industrial data platforms and data lakes (e.g., Cognite Data Fusion, PI / AVEVA, OSDU), ensuring data aggregation respects ownership, classification, and access controls
• Direct fleet-wide data clean-up initiatives, establish quality metrics, and develop dashboards to detect data issues at source
• Assess and manage operational data and information risks, focusing on consequences of aggregating previously separated datasets into common platforms
• Hold the Digital Tool Owner mandate and manage the SLA guideline for operational digital tools
• Drive adoption of data standards across Operations, Engineering, Maintenance, IT, Digital, and project teams by influencing stakeholders without relying on direct authority

Requirements

Required competencies and certifications

• Degree in engineering, information management, or a related discipline
• Experience of 15+ years in offshore oil & gas, FPSO, marine, or comparable asset-intensive industries
• Proven track record delivering data governance, clean-up, or migration programs at fleet or enterprise scale
• Established data standards and stewardship across organizational boundaries, with ability to challenge EPCs, vendors, and senior stakeholders
• Knowledge of ISO 14224, ISO 55013, and enterprise CMMS / EAM systems (IFS Cloud preferred; SAP PM or Maximo relevant)
• Understanding of data confidentiality, information security, and risks related to aggregating operational datasets into common platforms

Preferred competencies and qualifications

• Practical familiarity with industrial data platforms such as Cognite Data Fusion, PI / AVEVA, OSDU, or equivalent
• Analytical skills using Agentic AI, Excel / Power Query (minimum), with SQL or Power BI as an advantage
• Professional working proficiency in English
• Strong communication skills to articulate business and risk consequences of poor data quality
• Leadership skills to influence cross-functional teams across Operations, Engineering, IT, and projects without direct authority