EY
Data Management & Strategy - Oil & Gas - Senior Manager- Consulting - Location O
EY, Southfield, Michigan, United States, 48076
Overview Data Management and Strategy - Senior Manager – Oil & Gas Sector – Location OPEN (Houston, Texas preferred).
All the relevant skills, qualifications and experience that a successful applicant will need are listed in the following description. At EY, we’re focused on shaping your future with confidence and delivering data-driven insights to oil & gas clients through governance, data platforms, and analytics capabilities. The Opportunity We are looking for a Data & Analytics Leader to guide clients through analytics, data governance, and modern data platforms. Provide strategic leadership and a business-focused perspective on how data and analytics can improve operations, increase agility, and drive transformation. Design and apply comprehensive methods to govern the lifecycle of data assets, perform maturity assessments, and advise on tools and roadmaps aligned 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 and oil & gas domain trends. To Qualify for the Role, You Must Have
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 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 upstream, midstream, and 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). Demonstrated experience designing and deploying scalable data architectures. 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. Hands-on experience in cloud and data engineering tools including Azure, Databricks, Snowflake, and data orchestration platforms. Strong understanding of regulatory and data privacy implications within the oil & gas sector. A valid U.S. driver’s license and willingness to travel to client locations as needed. Ideally, You’ll Also Have
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. 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 the qualities of a top performer: adaptability, strong communication skills, and a passion for continuous learning. You should be able to 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 specified by location; total rewards include medical and dental coverage, pension and 401(k), and paid time off options. Hybrid work model with in-person collaboration 40-60% of the time on client engagements. Flexible vacation policy with designated holidays and leave options to support well-being. Are you ready to shape your future with confidence? Apply today. EY accepts applications on an ongoing basis. For California residents, additional information is available. EY is an equal opportunity employer and provides reasonable accommodations for applicants with disabilities. EY | Building a better working world. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence across assurance, consulting, tax, strategy and transactions. Seniority level: Mid-Senior level | Employment type: Full-time | Job function: Information Technology | Industries: Professional Services
#J-18808-Ljbffr
All the relevant skills, qualifications and experience that a successful applicant will need are listed in the following description. At EY, we’re focused on shaping your future with confidence and delivering data-driven insights to oil & gas clients through governance, data platforms, and analytics capabilities. The Opportunity We are looking for a Data & Analytics Leader to guide clients through analytics, data governance, and modern data platforms. Provide strategic leadership and a business-focused perspective on how data and analytics can improve operations, increase agility, and drive transformation. Design and apply comprehensive methods to govern the lifecycle of data assets, perform maturity assessments, and advise on tools and roadmaps aligned 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 and oil & gas domain trends. To Qualify for the Role, You Must Have
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 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 upstream, midstream, and 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). Demonstrated experience designing and deploying scalable data architectures. 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. Hands-on experience in cloud and data engineering tools including Azure, Databricks, Snowflake, and data orchestration platforms. Strong understanding of regulatory and data privacy implications within the oil & gas sector. A valid U.S. driver’s license and willingness to travel to client locations as needed. Ideally, You’ll Also Have
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. 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 the qualities of a top performer: adaptability, strong communication skills, and a passion for continuous learning. You should be able to 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 specified by location; total rewards include medical and dental coverage, pension and 401(k), and paid time off options. Hybrid work model with in-person collaboration 40-60% of the time on client engagements. Flexible vacation policy with designated holidays and leave options to support well-being. Are you ready to shape your future with confidence? Apply today. EY accepts applications on an ongoing basis. For California residents, additional information is available. EY is an equal opportunity employer and provides reasonable accommodations for applicants with disabilities. EY | Building a better working world. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence across assurance, consulting, tax, strategy and transactions. Seniority level: Mid-Senior level | Employment type: Full-time | Job function: Information Technology | Industries: Professional Services
#J-18808-Ljbffr