Data Management & Strategy - Oil & Gas - Manager- Consulting
Listed on 2025-12-01
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IT/Tech
Data Analyst, Data Science Manager
Overview
Join to apply for the Data Management & Strategy - Oil & Gas - Manager
- Consulting - Location OPEN role ation:
Anywhere in Country. EY focuses on helping clients shape the future with confidence and build a better working world through data, analytics, and diverse teams.
We are looking for a Data & Analytics Manager to guide oil & gas clients through analytics, data governance, and modern data platforms. You will provide strategic leadership on how data and analytics can improve operations, increase agility, and drive transformation. You will design and apply methods to govern the lifecycle of data assets, perform maturity assessments of data management capabilities, and advise on tools and roadmaps aligned with business objectives.
YourKey Responsibilities
As a Manager in Data Management and Strategy, you will help lead complex processes and projects, ensuring quality and risk management while navigating organizational dynamics. You will manage client relationships and engagement delivery, with regular travel 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.
- 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 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 analytics.
- Oversee cloud-based data management platforms and technologies (Databricks, Snowflake, Azure, AWS, Hadoop) for ingestion, storage, and processing.
- Drive the 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 multiple domains.
- Develop and champion data literacy programs, training, and change management to embed a data-driven culture.
- Communicate analytical findings through dashboards and visuals 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.
To Qualify for the Role, You Must Have A blend of technical and interpersonal skills to drive results. Strong ability to build and manage relationships and excellent analytical capabilities.
- 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 the oil & gas industry.
- 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.
- Expertise in advanced analytics, data science, and machine learning 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 communication and stakeholder management across technical and business domains.
- Mentoring…
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