Sr. Manager - Enterprise Data & Arch.

LYB is accelerating its digital transformation to unlock enterprisewide value from data, analytics, and AI. The Senior Manager, Enterprise Data, Strategy & Architecture plays a pivotal leadership role in shaping the company's data future-defining strategy, architecting modern data platforms, and guiding execution across a global, assetintensive petrochemical enterprise.

This leader partners closely with the Chief Data & Architecture Office (CDAO), Digital Technology leadership team, Business Executives, and DT Operations, Engineering and Delivery Teams to design, architect, and govern a scalable, secure, and trusted data ecosystem built on Modern and Standard Data Platform. The role requires deep industry experience in petroleum, petrochemicals, or energy markets, with a strong understanding of operational, commercial, and regulatory data domains.

• Define and evolve LYB's enterprise data strategy, ensuring alignment with corporate objectives, digital transformation priorities, and the Operating Model.
• Lead multiyear roadmaps for data modernization, including cloud migration, data fabric capabilities, and AIreadiness.
• 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 datadriven decisionmaking, platform investments, and emerging technologies.

Data Architecture & Platform Engineering

• 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.

Governance, Quality & Compliance

• 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.
• Champion trusted, wellgoverned data as a foundational enabler for AI, machine learning, and advanced analytics.

Business Partnership & Value Delivery

• Collaborate with Manufacturing, Supply Chain, Commercial, Finance, and HSE to translate business needs into scalable data solutions.
• Drive adoption of datadriven capabilities in areas such as feedstock optimization, trading & risk, production planning, reliability engineering, and ESG reporting.
• Lead crossfunctional teams to deliver highimpact data initiatives that improve operational efficiency, reduce risk, and unlock commercial value.

Team Leadership & Talent Development

• Build and mentor a highperforming team of data architects, platform engineers, and strategy analysts.
• Foster a culture of innovation, continuous learning, and engineering excellence.
• Promote collaboration across Digital Technology, business units, and external partners.

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 cloudbased 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 ERPtocloud data flows.
• Understanding of regulatory frameworks relevant to petrochemical operations (e.g., EPA, OSHA, REACH).
• Background in AI/ML platform enablement, MLOps, or LLMbased capabilities.

This position conducts business in more than 6 countries or in areas/communities that have strong, unique ethnic/cultural traditions. Domestic and international travel of 5 % is anticipated.