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

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

Location:

Anywhere in Country

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.

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 analytics, data governance, and modern data platforms, providing strategic leadership and a business-focused perspective on how data and analytics can improve operations, agility, and transformation.

• Lead complex processes and projects, ensuring quality and risk management while navigating organizational dynamics.
• Manage client relationships and engagement delivery with regular travel to meet client needs.
• Develop resource plans and budgets for engagements and ensure effective engagement economics.
• Define and execute 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, 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 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 for BI and advanced analytics.
• Oversee cloud-based data management platforms and technologies (e.g., 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, training, and change management to embed a data-driven culture.
• Communicate findings through dashboards and storytelling for 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.

• A bachelor’s degree required;
  Master’s degree preferred in a quantitative/technical field (e.g., statistics, computer science, engineering, mathematics) with prior consulting experience.
• At least 6 years of relevant experience in data analytics, data governance, or data strategy, preferably in the oil & gas industry.
• 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 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, Tableau, Cognite, Palantir, Dataiku, or similar.
• Expertise in advanced analytics, data science, and machine learning approaches for operational or financial problems.
• Hands-on experience with big data and cloud platforms such as Databricks, Snowflake, Azure (Data Factory, Azure
  
  ML), AWS, Hadoop.
• Ability to lead large-scale digital transformation engagements, manage delivery risk, and foster client trust.
• Strong communication and stakeholder management skills across technical and business domains.
• Mentoring mindset with ability to build high-performing data teams.
• Understanding of regulatory and data privacy implications in the oil & gas sector.
• A valid U.S. driver’s license and willingness to travel to client locations as needed.

• Experience deploying data products in ESG reporting, operational efficiency, or safety compliance in industrial environments.
• Familiarity with data mesh concepts…