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

Overview

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- Consulting - Location OPEN role at EY
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Location:

Anywhere in Country. EY is committed to shaping your future with confidence and helping you succeed in a globally connected environment.

At EY, you’ll work with diverse teams on data-driven initiatives to transform operations, governance, and data platforms for oil & gas clients, advancing business value through analytics and data strategy.

We are looking for a Data & Analytics Manager to guide data governance, modern data platforms, and analytics solutions for oil & gas clients. You will provide strategic leadership on how data and analytics can improve operations, agility, and transformation.

Responsibilities include governing the lifecycle of data assets, performing maturity assessments of data management capabilities, and advising on tools and roadmaps that align with business objectives.

• Lead complex processes and projects with focus on quality and risk management; manage client relationships and engagement delivery with regular travel as needed.
• Assist in developing resource plans and budgets for engagements; ensure effective engagement economics.
• 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 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.
• Design scalable, secure data architectures in collaboration with enterprise architects and IT to support BI and advanced analytics.
• Oversee cloud-based data platforms and technologies (Databricks, Snowflake, Azure, AWS, Hadoop) for ingestion, storage, and processing.
• Drive the design and implementation of analytical models, data pipelines, and dashboards to generate actionable insights.
• Translate business initiatives into prioritized use cases with measurable ROI and manage delivery across domains.
• Develop and champion data literacy programs and change management 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 current with 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 with prior consulting experience.
• At least 6 years of relevant experience in data analytics, data governance, or data strategy, preferably in oil & gas.
• Proven success deploying analytics solutions across upstream, midstream, and downstream domains.
• Deep knowledge of data governance, data quality, stewardship, compliance, and policy creation.
• Experience in Master Data Management (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 tools.
• Expertise in advanced analytics, data science, and machine learning approaches.
• Hands-on with big data and cloud platforms (Databricks, Snowflake, Azure, AWS, Hadoop).
• Ability to lead large-scale digital transformation engagements and manage delivery risk.
• Strong communication and stakeholder management skills across technical and business voices.
• Mentoring mindset with a passion for building high-performing data teams.
• Cloud and data engineering experience with Azure, Databricks, Snowflake, and data orchestration platforms.
• Understanding of regulatory and data…