AzureCloudCyber SecurityERPSparkAIMLLLMMLOpsMLflowData EngineeringData LakeAnalyticsSnowflakeDatabricksSAPLeadershipCommunicationRemote Work
About this role
Role Overview
Define and evolve LYB’s enterprise data strategy, ensuring alignment with corporate objectives, digital transformation priorities, and the Operating Model.
Lead multi‑year roadmaps for data modernization, including cloud migration, data fabric capabilities, and AI‑readiness.
Drive enterprise adoption of data standards, governance frameworks, and architectural principles across business units and global functions.
Serve as a strategic advisor to senior executives on data‑driven decision‑making, platform investments, and emerging technologies.
Architect and oversee the enterprise data platform leveraging Azure services (Azure Data Lake Storage, Azure Synapse, Azure Data Factory, Azure Purview), Snowflake, and Azure Databricks.
Establish reference architectures, integration patterns, and best practices for ingestion, transformation, modeling, and consumption.
Guide the design of scalable data products, operational data pipelines, and advanced analytics environments supporting both IT and business teams.
Ensure platform performance, reliability, cost optimization, and security in alignment with enterprise architecture and cybersecurity standards.
Lead enterprise data governance initiatives, including metadata management, data quality frameworks, lineage, and stewardship models.
Partner with Legal, Compliance, and Cybersecurity to ensure adherence to regulatory requirements relevant to petrochemical operations and global markets.
Collaborate with Manufacturing, Supply Chain, Commercial, Finance, and HSE to translate business needs into scalable data solutions.
Build and mentor a high‑performing team of data architects, platform engineers, and strategy analysts.
Requirements
Bachelor's Degree in related discipline with specialized leadership training and/or demonstrated capability to perform job responsibilities through previous experience and education
15+ years of experience in enterprise data architecture, data engineering, or digital transformation roles.
Proven leadership in designing and operating cloud‑based data platforms using: Azure Data Services (Data Lake, Synapse, Data Factory, Purview, Event Hub, Functions) Snowflake (architecture, performance tuning, governance) Azure Databricks (Delta Lake, MLflow, Spark optimization)
Strong understanding of data governance, metadata management, and enterprise data management practices.
Demonstrated experience in petroleum, petrochemicals, energy trading, or heavy manufacturing industries.
Expertise in designing data solutions supporting operational technology (OT), manufacturing systems, commercial trading, and supply chain processes.
Ability to influence senior executives and drive alignment across complex, global organizations.
Strong communication skills with the ability to translate technical concepts into business value.
Experience implementing data fabric or data mesh architectures at enterprise scale.
Familiarity with SAP ECC/S4, BTP, and integration patterns for ERP‑to‑cloud data flows.
Understanding of regulatory frameworks relevant to petrochemical operations (e.g., EPA, OSHA, REACH).
Background in AI/ML platform enablement, MLOps, or LLM‑based capabilities.