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

Overview

Location:

Anywhere in Country

EY is seeking a Data Management and Strategy Manager for Oil & Gas to help deliver data-driven insights and solutions to clients. The role provides strategic leadership on analytics, data governance, and modern data platforms, with a focus on improving operations, agility, and transformation for oil & gas clients.

We design and apply comprehensive methods to govern the lifecycle of data assets, perform maturity assessments of data management capabilities, and advise on tools and roadmaps to implement them, aligning data strategies with business objectives.

• Lead complex processes and projects with a focus on quality and risk management; manage client relationships and engagement delivery with regular travel as needed.
• Develop resource plans and budgets for engagements; select methods and techniques to achieve results.
• Define and execute the analytics and data governance strategy for oil & gas clients, aligning with business objectives and regulatory requirements.
• Develop and implement data governance frameworks including policies, stewardship models, roles, and accountability across the organization.
• Oversee Master Data Management (MDM), metadata management, and data cataloging to ensure data consistency 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.
• Design scalable, secure data architectures with enterprise architects and IT to support BI and analytics needs.
• Oversee cloud-based data platforms (Databricks, Snowflake, Azure, AWS, Hadoop) for ingestion, storage, and processing.
• Drive design and implementation of analytical models, data pipelines, and visualizations to generate actionable insights.
• Translate business initiatives into prioritized use cases with measurable ROI and manage delivery across domains.
• Develop and champion data literacy and change management programs to embed a data-driven culture.
• 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 leadership.
• Stay abreast of emerging technologies and oil & gas domain trends.

• Bachelor’s degree required;
  Master’s degree preferred in a quantitative or technical field with prior consulting experience.
• At least 6 years of relevant experience in data analytics, data governance, or data strategy, preferably in oil & gas.
• Experience deploying analytics solutions across upstream, midstream, and downstream domains.
• Deep knowledge of data governance, quality frameworks, stewardship models, compliance, and policy creation.
• Experience with MDM, metadata, lineage tracking, and data catalog tools (e.g., Collibra, Alation).
• Experience designing and deploying scalable data architectures.
• Proficiency with SQL, Python, R, Power BI, Tableau, Cognite, Palantir, Dataiku, or similar.
• Advanced analytics, data science, and ML approaches to solve operational or financial challenges.
• Hands-on experience with big data and cloud platforms (Databricks, Snowflake, Azure, AWS, Hadoop).
• Ability to lead large-scale digital transformation engagements and manage delivery risk; strong client relationship skills.
• Strong communication and stakeholder management across technical and business domains.
• Mentoring mindset and passion for building high-performing data teams.
• Hands-on experience across cloud and data engineering tools and data orchestration platforms.
• Understanding of regulatory and data privacy implications in oil & gas.
• Valid U.S. driver’s license and willingness to travel to client locations as needed.

• Experience deploying data products in ESG, operational efficiency, or safety in industrial environments.
• Familiarity with data mesh concepts and decentralized data ownership.
• Certifications in Azure Data Engineer, Snowflake, Databricks or related platforms.
• Experience with Data Office Organization and IT Architecture.
• Familiar it…