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EY · 7 hours ago

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

Chantilly, VA

Full-time

Hybrid

Mid, Senior Level

$126K/yr - $230K/yr

6+ years exp

EY is a global leader in professional services, helping to build a better working world. They are seeking a Data & Analytics Manager to deliver data-driven insights and solutions to oil & gas clients, focusing on data governance and modern data platforms.

AccountingAdviceBusiness IntelligenceConsultingFinancial ServicesProfessional Services

Growth Opportunities

H1B Sponsor Likely

Responsibilities

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

Qualification

Data governanceData analyticsCloud platformsMachine learningMaster Data ManagementData strategyData visualizationSQLPythonStakeholder managementCommunication skillsMentoringTeam leadership

Required

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

Preferred

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

Benefits

Medical and dental coverage

Pension and 401(k) plans

Paid time off options

Flexible vacation policy

Designated EY Paid Holidays

Winter/Summer breaks

Personal/Family Care

Other leaves of absence

Company

EY

Glassdoor3.8

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

Founded in 1989

London, England, GBR

10001+ employees

http://www.ey.com

H1B Sponsorship

EY has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2025 (10242)

2024 (9877)

2023 (10966)

2022 (9394)

2021 (5652)

2020 (8849)