EY
Data Management & Strategy - Oil & Gas - Manager- Consulting - Location OPEN
EY, Raleigh, North Carolina, United States, 27601
Data Management & Strategy – Oil & Gas – Manager
Location: Anywhere in Country
Company: EY
Job Overview EY delivers unparalleled service in big data, business intelligence, and digital analytics built on a blend of custom-developed methods related to customer analytics, data visualization, and optimization. Our methods are not tied to any specific platforms but are driven by business needs and outcome alignment. We are looking for a Data & Analytics Manager to 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.
Key Responsibilities
Lead complex processes and projects, ensuring quality and risk management while navigating organizational dynamics.
Design and apply comprehensive methods and practices to govern the entire lifecycle of data assets, ensuring their protection and monetization.
Perform maturity assessments on data management capabilities and advise on tools and roadmaps to implement them.
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) in collaboration 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.
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 (e.g., statistics, computer science, engineering, mathematics) with prior consulting experience required.
At least 6 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 different oil & gas domains (upstream, midstream, downstream).
Deep knowledge of data governance, including 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.
Expertise in advanced analytics, data science, and machine learning approaches to solve operational or financial challenges.
Hands‑on experience with big data and cloud platforms such as Databricks, Snowflake, Azure (Data Factory, AzureML), 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.
Valid U.S. driver’s license and willingness to travel to client locations as needed.
Desired Skills
Experience in deploying data products in areas such as 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.
Strong emotional agility to navigate complex interpersonal dynamics.
Benefits
Compensation: Base salary range for U.S. locations: $125,500–$230,200. For New York City Metro Area, Washington State and California (excluding Sacramento): $150,700–$261,600. Pay based on experience, education, skills, geography.
Medical and dental coverage, pension and 401(k) plans, and wide range of paid time off options.
Hybrid work model: 40–60% in‑person work per engagement or project.
Flexible vacation policy: Unlimited vacation, paid holidays, winter/summer breaks, personal/family care leaves.
Equal Opportunity Statement 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, including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1‑800‑EY‑HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com.
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Company: EY
Job Overview EY delivers unparalleled service in big data, business intelligence, and digital analytics built on a blend of custom-developed methods related to customer analytics, data visualization, and optimization. Our methods are not tied to any specific platforms but are driven by business needs and outcome alignment. We are looking for a Data & Analytics Manager to 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.
Key Responsibilities
Lead complex processes and projects, ensuring quality and risk management while navigating organizational dynamics.
Design and apply comprehensive methods and practices to govern the entire lifecycle of data assets, ensuring their protection and monetization.
Perform maturity assessments on data management capabilities and advise on tools and roadmaps to implement them.
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) in collaboration 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.
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 (e.g., statistics, computer science, engineering, mathematics) with prior consulting experience required.
At least 6 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 different oil & gas domains (upstream, midstream, downstream).
Deep knowledge of data governance, including 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.
Expertise in advanced analytics, data science, and machine learning approaches to solve operational or financial challenges.
Hands‑on experience with big data and cloud platforms such as Databricks, Snowflake, Azure (Data Factory, AzureML), 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.
Valid U.S. driver’s license and willingness to travel to client locations as needed.
Desired Skills
Experience in deploying data products in areas such as 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.
Strong emotional agility to navigate complex interpersonal dynamics.
Benefits
Compensation: Base salary range for U.S. locations: $125,500–$230,200. For New York City Metro Area, Washington State and California (excluding Sacramento): $150,700–$261,600. Pay based on experience, education, skills, geography.
Medical and dental coverage, pension and 401(k) plans, and wide range of paid time off options.
Hybrid work model: 40–60% in‑person work per engagement or project.
Flexible vacation policy: Unlimited vacation, paid holidays, winter/summer breaks, personal/family care leaves.
Equal Opportunity Statement 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, including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1‑800‑EY‑HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com.
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