Sr. Manager - Enterprise Data & Arch.

Lyondell Basell North America•Houston, TX

22h

About The Position

LyondellBasell is a leader in the global chemical industry creating solutions for everyday sustainable living. With a nearly 70-year legacy that includes a Nobel Prize in Chemistry and our proprietary MoReTec recycling technology, LYB is enabling a more sustainable future for generations to come. LYB develops high-quality and innovative products for applications ranging from sustainable transportation and food safety to clean water and quality healthcare. LYB places high priority on diversity, equity and inclusion and is Advancing Good with an emphasis on our planet, the communities where we operate and our future workforce. We're addressing the global challenges of ending plastic waste, taking climate action, and supporting a thriving society, while generating value for our customers, investors, and society.Come Join an Inclusive TeamLYB is accelerating its digital transformation to unlock enterprise‑wide 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, asset‑intensive 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.

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.

Nice To Haves

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.

Responsibilities

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.
Champion trusted, well‑governed data as a foundational enabler for AI, machine learning, and advanced analytics.
Collaborate with Manufacturing, Supply Chain, Commercial, Finance, and HSE to translate business needs into scalable data solutions.
Drive adoption of data‑driven capabilities in areas such as feedstock optimization, trading & risk, production planning, reliability engineering, and ESG reporting.
Lead cross‑functional teams to deliver high‑impact data initiatives that improve operational efficiency, reduce risk, and unlock commercial value.
Build and mentor a high‑performing 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.