Location OPEN

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 Manager 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.

Your Key Responsibilities:

As a Manager in Data, Analytics (AI)and Strategy, you will help lead complex processes and projects, ensuring quality and risk management while navigating organizational dynamics. This role offers a unique opportunity to work closely with clients, providing insights and solutions that drive business value. You will be responsible for managing client relationships and engagement delivery, with regular travel requirements 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, 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 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 different oil & gas domains (upstream, midstream, downstream).
• Deep knowledge of data, analytics, data & AI 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.
• 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.