Overview Data Management and Strategy - Senior Manager – Oil & Gas Sector Location: Preferred – Houston, Texas 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.

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 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.

Leverage advanced analytics and machine learning 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.

Qualifications

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 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.

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

Demonstrated experience designing and deploying scalable data architectures.

Proficiency with data analytics tools and platforms: 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 (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, familiarity with data mesh concepts and decentralized data ownership models.

What We Offer

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 not disclosed here. Individual salaries within ranges are determined by education, experience, knowledge, skills and geography. 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. Most people in external, client-serving roles are expected to work in person 40-60% of the time over a project or year.

Flexible vacation policy to decide how much vacation time you need, plus EY Paid Holidays and other leaves of absence for well-being.

Additional Information Are you ready to shape your future with confidence? Apply today. EY accepts applications on an ongoing basis.

For those living in California, please refer to additional information. EY is an equal employment opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity/expression, age, disability, or any other protected basis. EY provides reasonable accommodations to qualified individuals with disabilities throughout the application process. Contact EY Talent Shared Services for accommodations.

EY | Building a better working world. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for today and tomorrow. EY operates in assurance, consulting, tax, strategy and transactions with a diverse, globally connected network across more than 150 countries.

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