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

Overview

Join to apply for the Data Management & Strategy - Oil & Gas - Manager
- Consulting - Location OPEN role ation:
Anywhere in Country. EY focuses on shaping your future with confidence, in a globally connected, diverse team environment, helping you build a better working world.

Data Management and Strategy - Manager – Oil & Gas Sector.

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. You will provide strategic leadership and a business perspective on how data and analytics can improve operations, increase agility, and drive transformation.

You will design and apply comprehensive methods to govern the entire lifecycle of data assets, ensure protection and monetization, and perform maturity assessments on data management capabilities. You will advise on tools and roadmaps to implement data strategies aligned with business objectives.

• As a Manager in Data Management and Strategy, help lead complex processes and projects, ensuring quality and risk management while navigating organizational dynamics. Manage 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 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.
• 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.

• 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 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 upstream, midstream, and downstream domains.
• Deep knowledge of data governance, 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).
• Proficiency with data analytics tools and platforms: SQL, Python, R, Power BI,…