EY Data Management & Strategy - Oil Gas 

United States, Texas, Houston 

540565007

In this role, you will design and apply comprehensive methods and practices to govern the entire lifecycle of data assets, ensuring their protection and monetization. You will perform maturity assessments on data management capabilities and advise on tools and roadmaps to implement them, all while aligning data strategies with business objectives.

Your Key Responsibilities:

As a Senior Manager in Data Management and Strategy, you will lead complex processes and projects, ensuring quality and risk management while navigating organizational dynamics. This role offers a unique opportunity to work closely with clients, providing insights and solutions that drive business value. You will be responsible for managing client relationships and engagement delivery, with regular travel requirements to meet client needs.

• 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 (e.g., optimization, forecasting, simulation) 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

To Qualify for the Role, You Must Have:

To excel in this role, you will need a blend of technical and interpersonal skills that drive impactful results. Your ability to build and manage relationships, coupled with strong analytical capabilities, will be crucial in navigating complex challenges.

• 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 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).

• 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:

In this role, you will design and apply comprehensive methods and practices to govern the entire lifecycle of data assets, ensuring their protection and monetization. You will perform maturity assessments on data management capabilities and advise on tools and roadmaps to implement them, all while aligning data strategies with business objectives.

Your Key Responsibilities:

As a Senior Manager in Data Management and Strategy, you will lead complex processes and projects, ensuring quality and risk management while navigating organizational dynamics. This role offers a unique opportunity to work closely with clients, providing insights and solutions that drive business value. You will be responsible for managing client relationships and engagement delivery, with regular travel requirements to meet client needs.

• 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 (e.g., optimization, forecasting, simulation) 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

To Qualify for the Role, You Must Have:

To excel in this role, you will need a blend of technical and interpersonal skills that drive impactful results. Your ability to build and manage relationships, coupled with strong analytical capabilities, will be crucial in navigating complex challenges.

• 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 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).

• 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.