Data Management & Strategy - Oil & Gas - Senior Manager- Consulting - Location OPEN

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Data, Analytics and Strategy - Senior Manager – Oil & Gas Sector

Company Overview

EY delivers unparalleled service in big data, business intelligence, and digital analytics built on a blend of custom-developed methods related to customer analytics, data visualization, and optimization. We leverage best practices and a high degree of business acumen compiled over years of experience to ensure the highest level of execution and satisfaction for our clients. Our methods are not tied to any specific platforms but are driven by business needs and outcome alignment.

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 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.

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.

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 to support business intelligence and advanced analytics needs.

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 and 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, oil & gas domain trends

To Qualify for the Role, You Must Have

To excel in this role, you will need a blend of technical and interpersonal skills that drive impactful results. Your ability to build and manage relationships, coupled with strong analytical capabilities, will be crucial in navigating complex challenges.

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 required.

At least 8 years of relevant experience in data, analytics, data & AI 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 governance, including data quality frameworks, stewardship models, compliance, and policy creation.

Familiarity in Master Data Management (MDM), metadata, lineage tracking, and data catalog tools (e.g., Collibra, Alation).

Demonstrated experience designing and deploying scalable data & analytics architectures

Proficiency with data analytics tools and platforms : SQL, Python, PySpark, R, Power BI, Tableau, Cognite, Palantir, Dataiku, or similar.

Expertise in advanced analytics, data science, generative AI and machine learning approaches to solve operational or financial challenges.

Hands-on experience with big data and cloud platforms such as Databricks, Snowflake, Azure (Data Factory, AzureML), 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.

Passion for mentoring, knowledge sharing, and building high-performing data teams.

Hands-on experience in cloud and data engineering tools including Azure, Databricks, Snowflake, and data orchestration platforms.

Strong 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 areas such as asset management, 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 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 not only skilled in their domain but also possess the qualities of a top performer : adaptability, strong communication skills, and a passion for continuous learning. You should be able to thrive in a collaborative environment, driving innovation and excellence in every project.

What we offer you

We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $X to $X. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $X to $X. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.

Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.

Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter / Summer breaks, Personal / Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.

Are you ready to shape your future with confidence? Apply today.

EY accepts applications for this position on an on-going basis.

For those living in California, please click here for additional information.

EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.

EY | Building a better working world

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity / expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.

EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com .

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