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Data Management Lead

ineos · Houston, TX · United States · On-site

Posted Aug 5, 2026

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Excited to grow your career? We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply! Our people make all the difference in our success. Compensation Grade ONS-USD-35 We are seeking a strategic and forward-thinking Data Management Lead to play a pivotal role in shaping and advancing our data capabilities. This is a hands-on leadership role that combines technical credibility with strong managerial, governance, and delivery capability. The position is accountable for defining the operating model for data management, establishing data governance and quality standards, partnering with IT on secure and scalable platform access, and leading planned data engineering, analytics, and AI resources as the team grows. This role will ensure that trusted, well-governed data products are available to support upstream asset management, operations, production surveillance, planning, financial analysis, and executive reporting. The ideal candidate will bring 10+ years of experience in data architecture, data engineering, or a related role, with a focus on the upstream oil and gas sector.  Primary Job Responsibilities Develop and execute a comprehensive data management practice, including the operating model, governance framework, delivery roadmap, standards, controls, and resourcing plan. Define clear roles, responsibilities, decision rights, and ways of working for data management across the business, IT, and future data team members. Foster a collaborative, business-focused team culture that values transparency, data quality, continuous improvement, and disciplined delivery. Develop practical standards, reusable delivery patterns, and documentation to enable consistent execution across the team. Drive innovation by staying current with industry trends and integrating new technologies and methodologies into the data strategy. Design and implement scalable, secure, and maintainable data architectures using Snowflake, Microsoft Azure, Power BI, and related tools Develop and manage data models, schemas, pipelines, integrations, curated datasets, and semantic layers that support business intelligence, analytics, and future AI use cases. Ensure data integrity, security, and compliance with industry regulations and company policies. Oversee the deployment and optimization of Microsoft Azure cloud services for data storage, processing, and management. Utilize Power BI to create and maintain interactive dashboards and reports that provide actionable insights to stakeholders. Collaborate with IT and other departments to ensure seamless integration and performance of data tools and platforms. Work with IT and cybersecurity resources to ensure data access and integrations are secure, supportable, and consistent with company standards Establish and maintain…