EY
Data Management & Strategy - Oil & Gas - Senior Manager- Consulting - Location O
EY, Greenville, South Carolina, us, 29610
Overview
Data Management and Strategy - Senior Manager – Oil & Gas Sector – Location: Houston, Texas (Preferred). Role at EY. EY delivers unparallelled service in big data, business intelligence, and digital analytics, driven by business needs and outcome alignment. Our approach leverages data governance, modern data platforms, and strategic leadership to transform client operations. The Opportunity
We are looking for a Data & Analytics Leader to join our team and help deliver data-driven insights and solutions to our oil & gas clients. You will guide clients through the evolving world of analytics, data governance, and modern data platforms, providing strategic leadership and a unique business perspective on how data and analytics can improve operations, increase agility, and drive transformation. In this role, you will design and apply comprehensive methods to govern the lifecycle of data assets, perform maturity assessments on data management capabilities, and advise on tools and roadmaps to implement them, aligning data strategies with business objectives. This is a high-growth, high-visibility role with significant opportunity to shape digital and data strategies across the oil & gas sector. Your Key Responsibilities
Lead engagement delivery and manage client relationships on a daily basis. Develop resource plans and budgets for engagements, ensuring effective engagement economics. Exercise judgment in selecting methods and techniques for obtaining results. Define and execute the analytics and data governance strategy for oil & gas clients, aligning with business objectives and regulatory requirements. Develop and implement robust data governance frameworks, including policies, data stewardship models, roles, and accountability across the organization. Oversee Master Data Management (MDM), metadata management, and data cataloging practices to ensure data consistency, discoverability, and trust. Ensure compliance with data privacy, protection, and regulatory standards (e.g., GDPR, CCPA), working closely with Legal, Security, and Risk teams. Lead and mentor a multidisciplinary team of analysts, engineers, and data stewards to deliver high-quality outcomes and maintain stakeholder confidence. Design scalable, secure, and cost-effective data architectures in collaboration with enterprise architects and IT to support business intelligence and advanced analytics needs. Oversee cloud-based data management platforms and technologies such as Databricks, Snowflake, Azure, AWS, and Hadoop for ingestion, storage, and processing. Drive the design and implementation of analytical models, data pipelines, and visualizations to solve complex business problems and generate actionable insights. Leverage advanced analytics and machine learning techniques to enhance operational efficiency and reduce cost. Translate business initiatives into prioritized use cases with measurable ROI and manage delivery across multiple domains. Develop and champion data literacy programs, training, and change management initiatives to embed a data-driven culture across client organizations. Communicate analytical findings through compelling data storytelling, dashboards, and visualizations tailored to business and technical audiences. Build and maintain trusted relationships with client stakeholders across operations, IT, engineering, and executive leadership. Stay abreast of emerging technologies, oil & gas domain trends. Qualifications
A bachelor’s degree required; Master’s degree preferred in a quantitative or technical field with prior consulting experience. At least 8 years of relevant experience in data analytics, data governance, or data strategy, preferably in the oil & gas industry. Demonstrated success in deploying analytics solutions across oil & gas domains (upstream, midstream, downstream). Deep knowledge of data governance, data quality frameworks, stewardship models, compliance, and policy creation. Experience in Master Data Management (MDM), metadata, lineage tracking, and data catalog tools (e.g., Collibra, Alation). Proficiency with data analytics tools and platforms: SQL, Python, R, Power BI, Tableau, Cognite, Palantir, Dataiku, or similar. Hands-on experience with big data and cloud platforms such as Databricks, Snowflake, Azure, AWS, Hadoop. Ability to lead large-scale digital transformation engagements, manage delivery risk, and foster trusted client relationships. Strong communication and stakeholder management skills across technical and business domains. Passion for mentoring, knowledge sharing, and building high-performing data teams. A valid U.S. driver’s license and willingness to travel to client locations as needed. Desirable Qualifications
Experience in deploying data products in ESG reporting, operational efficiency, or safety compliance in industrial environments. Familiarity with data mesh concepts and decentralized data ownership models. Certifications in Azure Data Engineer, Snowflake, Databricks or related platforms. Experience with Data Office Organization and IT Architecture. Familiarity with Digital Fluency and Hybrid Collaboration techniques. Strong emotional agility to navigate complex interpersonal dynamics. What We Look For
We seek individuals who are not only skilled in their domain but also possess adaptability, strong communication skills, and a passion for continuous learning. You should thrive in a collaborative environment, driving innovation and excellence in every project. What We Offer You
Comprehensive compensation and benefits package, with base salary ranges as applicable and a Total Rewards program including medical, dental, pension/401(k), and PTO. Hybrid model with in-person collaboration 40-60% of the time on engagements. Flexible vacation policy and designated EY holidays and leave options to support well-being. EY is an equal opportunity employer. We provide reasonable accommodations for qualified individuals with disabilities upon request. For more information, see our accessibility statements. EY | Building a better working world
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Data Management and Strategy - Senior Manager – Oil & Gas Sector – Location: Houston, Texas (Preferred). Role at EY. EY delivers unparallelled service in big data, business intelligence, and digital analytics, driven by business needs and outcome alignment. Our approach leverages data governance, modern data platforms, and strategic leadership to transform client operations. The Opportunity
We are looking for a Data & Analytics Leader to join our team and help deliver data-driven insights and solutions to our oil & gas clients. You will guide clients through the evolving world of analytics, data governance, and modern data platforms, providing strategic leadership and a unique business perspective on how data and analytics can improve operations, increase agility, and drive transformation. In this role, you will design and apply comprehensive methods to govern the lifecycle of data assets, perform maturity assessments on data management capabilities, and advise on tools and roadmaps to implement them, aligning data strategies with business objectives. This is a high-growth, high-visibility role with significant opportunity to shape digital and data strategies across the oil & gas sector. Your Key Responsibilities
Lead engagement delivery and manage client relationships on a daily basis. Develop resource plans and budgets for engagements, ensuring effective engagement economics. Exercise judgment in selecting methods and techniques for obtaining results. Define and execute the analytics and data governance strategy for oil & gas clients, aligning with business objectives and regulatory requirements. Develop and implement robust data governance frameworks, including policies, data stewardship models, roles, and accountability across the organization. Oversee Master Data Management (MDM), metadata management, and data cataloging practices to ensure data consistency, discoverability, and trust. Ensure compliance with data privacy, protection, and regulatory standards (e.g., GDPR, CCPA), working closely with Legal, Security, and Risk teams. Lead and mentor a multidisciplinary team of analysts, engineers, and data stewards to deliver high-quality outcomes and maintain stakeholder confidence. Design scalable, secure, and cost-effective data architectures in collaboration with enterprise architects and IT to support business intelligence and advanced analytics needs. Oversee cloud-based data management platforms and technologies such as Databricks, Snowflake, Azure, AWS, and Hadoop for ingestion, storage, and processing. Drive the design and implementation of analytical models, data pipelines, and visualizations to solve complex business problems and generate actionable insights. Leverage advanced analytics and machine learning techniques to enhance operational efficiency and reduce cost. Translate business initiatives into prioritized use cases with measurable ROI and manage delivery across multiple domains. Develop and champion data literacy programs, training, and change management initiatives to embed a data-driven culture across client organizations. Communicate analytical findings through compelling data storytelling, dashboards, and visualizations tailored to business and technical audiences. Build and maintain trusted relationships with client stakeholders across operations, IT, engineering, and executive leadership. Stay abreast of emerging technologies, oil & gas domain trends. Qualifications
A bachelor’s degree required; Master’s degree preferred in a quantitative or technical field with prior consulting experience. At least 8 years of relevant experience in data analytics, data governance, or data strategy, preferably in the oil & gas industry. Demonstrated success in deploying analytics solutions across oil & gas domains (upstream, midstream, downstream). Deep knowledge of data governance, data quality frameworks, stewardship models, compliance, and policy creation. Experience in Master Data Management (MDM), metadata, lineage tracking, and data catalog tools (e.g., Collibra, Alation). Proficiency with data analytics tools and platforms: SQL, Python, R, Power BI, Tableau, Cognite, Palantir, Dataiku, or similar. Hands-on experience with big data and cloud platforms such as Databricks, Snowflake, Azure, AWS, Hadoop. Ability to lead large-scale digital transformation engagements, manage delivery risk, and foster trusted client relationships. Strong communication and stakeholder management skills across technical and business domains. Passion for mentoring, knowledge sharing, and building high-performing data teams. A valid U.S. driver’s license and willingness to travel to client locations as needed. Desirable Qualifications
Experience in deploying data products in ESG reporting, operational efficiency, or safety compliance in industrial environments. Familiarity with data mesh concepts and decentralized data ownership models. Certifications in Azure Data Engineer, Snowflake, Databricks or related platforms. Experience with Data Office Organization and IT Architecture. Familiarity with Digital Fluency and Hybrid Collaboration techniques. Strong emotional agility to navigate complex interpersonal dynamics. What We Look For
We seek individuals who are not only skilled in their domain but also possess adaptability, strong communication skills, and a passion for continuous learning. You should thrive in a collaborative environment, driving innovation and excellence in every project. What We Offer You
Comprehensive compensation and benefits package, with base salary ranges as applicable and a Total Rewards program including medical, dental, pension/401(k), and PTO. Hybrid model with in-person collaboration 40-60% of the time on engagements. Flexible vacation policy and designated EY holidays and leave options to support well-being. EY is an equal opportunity employer. We provide reasonable accommodations for qualified individuals with disabilities upon request. For more information, see our accessibility statements. EY | Building a better working world
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