Senior Manager – Enterprise Data & Architecture

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.

Tech Stack

• Azure
• Cloud
• Cyber Security
• ERP
• Spark

Benefits

• Health insurance
• 401(k) matching
• Flexible work hours
• Paid time off
• Remote work options