EY
Data Management & Strategy - Oil & Gas - Senior Manager- Consulting - Location O
EY, Memphis, Tennessee, us, 37544
Overview
Data Management and Strategy - Senior Manager – Oil & Gas Sector – Consulting – Location: Houston preferred (OPEN). Senior Manager role at EY. 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. You will provide strategic leadership and a unique business perspective on how data and analytics can improve operations, increase agility, and drive transformation. This is a high-growth, high-visibility role with significant opportunity to shape digital and data strategies across the oil & gas sector. You will design and apply comprehensive methods and practices to govern the lifecycle of data assets, ensuring protection and monetization. You will perform maturity assessments on data management capabilities and advise on tools and roadmaps to implement them, aligning data strategies with business objectives. 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 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 and oil & gas domain trends. Qualifications
To Qualify for the Role, You Must Have: 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 oil & gas. Demonstrated success in deploying analytics solutions across upstream, midstream, and downstream domains. 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 and foster trusted client relationships. Strong communication and stakeholder management skills across technical and business domains. Willingness to travel to client locations as needed and hold a valid U.S. driver’s license. Ideal Attributes
Experience 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 skilled in their domain and who possess adaptability, strong communication, and a passion for continuous learning. You should thrive in a collaborative environment, driving innovation and excellence in every project. What We Offer You
Competitive compensation and benefits package; base salary ranges vary by geography. Total Rewards include medical and dental coverage, pension and 401(k), and paid time off options. Hybrid working model with most client-facing roles expected to work in person 40-60% of the time. Flexible vacation policy and paid holidays, with leave options for personal, family, and well-being needs. Equal Employment Opportunity
EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities.
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Data Management and Strategy - Senior Manager – Oil & Gas Sector – Consulting – Location: Houston preferred (OPEN). Senior Manager role at EY. 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. You will provide strategic leadership and a unique business perspective on how data and analytics can improve operations, increase agility, and drive transformation. This is a high-growth, high-visibility role with significant opportunity to shape digital and data strategies across the oil & gas sector. You will design and apply comprehensive methods and practices to govern the lifecycle of data assets, ensuring protection and monetization. You will perform maturity assessments on data management capabilities and advise on tools and roadmaps to implement them, aligning data strategies with business objectives. 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 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 and oil & gas domain trends. Qualifications
To Qualify for the Role, You Must Have: 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 oil & gas. Demonstrated success in deploying analytics solutions across upstream, midstream, and downstream domains. 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 and foster trusted client relationships. Strong communication and stakeholder management skills across technical and business domains. Willingness to travel to client locations as needed and hold a valid U.S. driver’s license. Ideal Attributes
Experience 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 skilled in their domain and who possess adaptability, strong communication, and a passion for continuous learning. You should thrive in a collaborative environment, driving innovation and excellence in every project. What We Offer You
Competitive compensation and benefits package; base salary ranges vary by geography. Total Rewards include medical and dental coverage, pension and 401(k), and paid time off options. Hybrid working model with most client-facing roles expected to work in person 40-60% of the time. Flexible vacation policy and paid holidays, with leave options for personal, family, and well-being needs. Equal Employment Opportunity
EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities.
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