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

Position: Data Management & Strategy - Oil & Gas - Manager- Consulting - Location OPEN
Overview

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

Your

Key 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 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.

To Qualify for the Role

• 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.

• 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).

• 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 approaches to solve operational or financial challenges.

• Hands-on experience with big data and cloud platforms such as Databricks, Snowflake, Azure, AWS, Hadoop.

• Ability to lead large-scale digital transformation engagements, manage delivery risk, and foster trusted client relationships.

• Strong communication and stakeholder management skills across technical and business domains.

• Mentorship mindset and passion for building high-performing data teams.

• Understanding of regulatory and data privacy implications within the oil & gas sector.

• A valid U.S. driver’s license and willingness to travel to client locations as needed.

Ideally, You’ll Also Have

• Experience in deploying data products in ESG reporting, operational efficiency, or safety compliance in industrial environments.

• Familiarity with data mesh concepts and decentralized data ownership models.

• Certifications in Azure Data Engineer, Snowflake, Databricks or related platforms.

• Experience with Data Office Organization and IT Architecture.

• Familiarity with Digital Fluency and Hybrid Collaboration techniques.

• Strong emotional agility to navigate complex interpersonal dynamics.

What We…