Data Management & Strategy - Oil & Gas - Manager- Consulting
Listed on 2025-12-01
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IT/Tech
Data Analyst, Data Science Manager, Data Security, Data Engineer
Join to apply for the Data Management & Strategy - Oil & Gas - Manager
- Consulting - Location OPEN role 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 build a better working world.
The OpportunityWe 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. We’ll 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.
YourKey Responsibilities
- Assist 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.
- 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, 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 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. - 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 with Master Data Management (MDM), metadata, lineage tracking, and data catalog tools (e.g., Collibra, Alation).
- Demonstrated experience designing and…
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