Data Management & Strategy Oil & Gas Manager- Consulting Location OPEN

Data Analytics and Strategy - Manager Oil & Gas Sector

Company 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. We leverage best practices and a high degree of business acumen compiled over years of experience to ensure the highest level of execution and satisfaction for our clients. Our methods are not tied to any specific platforms but are driven by business needs and outcome alignment.

The Opportunity

We are looking for a Data & Analytics Manager 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. Well rely on you to provide 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 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 Manager in Data Analytics (AI)and Strategy you will help 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.

• Assisting in developing 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 data and 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 & analytics including AI/ML & GenAI architectures in collaboration with enterprise architects and IT to support business intelligence and advanced analytics needs.
• Oversee cloud-based data & analytics 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 AI engineering and visualizations to solve complex business problems and generate actionable insights.

• Leverage advanced analytics and machine learning and generative AI 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 bachelors degree required; Masters 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 analytics data & AI governance including data quality frameworks stewardship models compliance and policy creation.
• Familiarity in Master Data Management (MDM) metadata lineage tracking and data catalog tools (e.g. Collibra Alation).
• Demonstrated experience designing and deploying scalable data & analytics architectures
• Proficiency with data analytics tools and platforms: SQL Python PySpark R Power BI Tableau Cognite Palantir Dataiku or similar.
• Expertise in advanced analytics data science generative AI 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.
• Understanding of regulatory and data privacy implications within the oil & gas sector.
• A valid U.S. drivers license and willingness to travel to client locations as needed.

Ideally Youll Also Have

• Experience in deploying data products in areas such as asset management 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 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.

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