Data Management & Strategy - Oil & Gas - Senior Manager- Consulting - Location OPEN
Overview
Join to apply for the Data Management & Strategy - Oil & Gas - Senior Manager- Consulting - Location OPEN role at EY.
Location: – Houston, Texas.
Company Overview: EY delivers unparalleled service in big data, business intelligence, and digital analytics, driven by business needs and outcomes. EY helps clients shape the future with confidence and build a better working world through data, analytics, and technology services.
The Opportunity
We are looking for a Data & Analytics Leader 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. You will provide strategic leadership and a business-oriented perspective on how data and analytics can improve operations, increase agility, and drive transformation. You will design and apply comprehensive methods to govern the lifecycle of data assets, perform maturity assessments, and advise on tools and roadmaps aligned with business objectives. This is a high-growth, high-visibility role with significant opportunity to shape digital and data strategies across the oil & gas sector.
Your Key Responsibilities
Lead engagement delivery and manage client relationships on a daily basis.
Develop resource plans and budgets for engagements, ensuring effective engagement economics.
Define and execute the analytics and data governance strategy for oil & gas clients, aligning with business objectives and regulatory requirements.
Develop and implement 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.
Design scalable, secure data architectures to support business intelligence and advanced analytics needs.
Oversee cloud-based data 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.
Leverage advanced analytics and machine learning techniques to enhance operational efficiency and reduce cost.
Translate business initiatives into prioritized use cases with measurable ROI and manage delivery across domains.
Develop and champion data literacy programs and change management to embed a data-driven culture.
Communicate analytical findings through dashboards and data storytelling tailored to 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, You Must Have
A bachelor’s degree is required; Master’s degree in a quantitative or technical field with prior consulting experience.
At least 8 years of relevant experience in data analytics, data governance, or data strategy, preferably in the oil & gas industry.
Demonstrated success deploying analytics solutions across upstream, midstream, and downstream sectors.
Deep knowledge of data governance, data 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).
Hands-on experience with big data and cloud platforms (Databricks, Snowflake, Azure, AWS, Hadoop).
Ability to lead large-scale digital transformation engagements and maintain trusted client relationships.
Strong communication and stakeholder management skills across technical and business domains.
Mentoring mindset and a passion for building high-performing data teams.
Ability to travel to client locations as needed and hold a valid U.S. driver’s license.
Ideally, You’ll Also Have
Experience 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 Look For
We seek individuals who are skilled in their domain and possess adaptability, strong communication skills, and a passion for continuous learning. You should thrive in a collaborative environment, driving innovation and excellence in every project.
What We Offer You
Comprehensive compensation and benefits package with base salary ranges provided by geography. Total Rewards includes medical and dental coverage, pension and 401(k) plans, and paid time off options.
Hybrid work model with most client-serving roles expected to work in person 40-60% of the time.
Flexible vacation policy and designated EY holidays, breaks, and leave options to support well-being.
Equal Employment Opportunity
EY provides equal employment opportunities to applicants and employees without regard to , , , , , , /expression, , genetic information, , protected veteran status, status, or any other legally protected basis, in accordance with applicable law. EY also provides reasonable accommodation to qualified individuals with disabilities, including veterans with disabilities. If you need assistance applying or an accommodation during the application process, contact EY’s Talent Shared Services.
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