Finance Transformation - Oil & Gas Sector jobs at Ey in United States, Houston

With deep functional and sector expertise, paired with innovative AI-powered technology and an investor mindset, we partner with CEOs, Boards, Private Equity and Governments every step of the way – enabling you to shape your future with confidence.

Skills and attributes for success

• Commercial – as part of the team you will regularly advise businesses on valuations issues with regards to acquisition or divestitures and provide fairness opinions on transactions and restructurings.
• Regulatory and Accounting –you will work with management as part of an acquisition process to understand how the value of acquired intangible and financial assets will impact accounting requirements.
• Taxation – you will regularly undertake valuations for fiscal purposes in the US market and advise clients on all aspects of US tax valuation issues.
• Intangible Assets – within the team you would specialize in the valuation of Intangible assets such as trademarks, brand names, core deposit intangibles, customer relationships, banking and other licenses, patents, technology and know-how.

To qualify for the role, you must have

• A bachelor's degree in finance, economics, accounting or business and at least 5 years of related business valuation work experience; or a graduate degree and at least 4 years of related work experience.
• Previous Business Valuation experience.
• Financial modelling skills including experience building models from scratch.
• Demonstrated record of solving complex problems and completing challenging projects.
• You must either reside in or be in a commutable distance to your office location for this position.
• The ability and willingness to travel and work in excess of standard hours when necessary. In certain circumstances, travel may be required beyond your work location based on client and project needs.

Ideally, you will have

• Previous valuation experience in professional services/Big 4 Firm.
• Financial modelling experience.
• Achievement of or significant progress towards a CFA.
• ASA/AM designations are a plus with the expectation of one completed designation within a given timeframe.
• Knowledge of how to leverage firm-approved AI tools in a business setting, including Microsoft Copilot.

What we look for

We are looking for candidates who are highly motivated, analytical, logical thinkers with a passion for valuations and have very strong attention to detail. Being a strong team player is critical with the ability to adapt to changing requirements or deadlines in support of our client’s goals.

AI & Data - AI Strategy - Manager - Oil & Gas Sector

As part of our growing AI & Data practice, we are seeking a highly experienced Senior Manager to lead enterprise AI strategy and quantitative modeling efforts for our clients in the Oil & Gas sector. This individual will bring deep industry expertise, along with a proven track record of designing and operationalizing responsible, scalable, and value-aligned AI solutions. You’ll lead high-impact client engagements focused on Generative AI, Agentic AI, MLOps, and AI governance frameworks — driving measurable outcomes in upstream, midstream, and downstream operations.

As a Manager in AI Strategy, you will leverage proprietary, industry-aligned business models and innovative operating model designs to deliver impactful AI investments. You will be responsible for capability assessments, operating model design, product management, governance, and process design, ensuring that AI initiatives align with business strategies and stakeholder needs.

Your key responsibilities

In this role, you will lead the delivery of complex AI strategies that enhance business effectiveness and efficiency. You will work closely with clients to envision how AI can transform their markets, products, and capabilities. This position offers the opportunity to engage with business and technology leaders, driving strategic programs that significantly impact their operations.

• Manage engagement delivery, ensuring quality and risk management throughout the project lifecycle.
• Manage client relationships, focusing on revenue generation and the identification of new opportunities.
• Manage resource plans and budgets for engagements, ensuring alignment with performance objectives.
• Define and implement enterprise-wide AI and quantitative modeling strategy tailored to oil & gas value chains (e.g., asset optimization, drilling, trading, predictive maintenance).
• Establish AI governance frameworks that ensure responsible AI adoption, ethical use of data, model risk management, and alignment with evolving regulations.
• Design and operationalize Agentic AI solutions to automate reasoning, planning, and decision-making tasks in complex environments.
• Drive the prioritization of AI use cases based on business value, feasibility, and risk, ensuring ROI on AI initiatives.
• Lead multidisciplinary teams of data scientists, engineers, and consultants to deliver end-to-end AI platforms and solutions.
• Partner with senior business and IT leaders to identify strategic opportunities and shape AI-enabled business transformation.
• Implement and scale ModelOps and MLOps practices, ensuring transparency, reproducibility, and monitoring of models in production.
• Lead AI solution architecture, including hybrid deployments on cloud (e.g. Microsoft Azure, Amazon AWS).
• Serve as a thought leader in emerging AI technologies, including Generative AI, foundation models, RAG and Agentic AI.
• Drive internal capability building and innovation in Responsible AI, agentic workflows, and energy sector-specific solutions .

Skills and attributes for success

To excel in this role, you will need a blend of technical and interpersonal skills. Your ability to navigate complex challenges and deliver innovative solutions will be crucial.

• Strong analytical and decision-making skills to develop solutions to complex problems.
• Proven experience in managing client relationships and leading teams.
• Ability to communicate effectively and influence stakeholders at all levels.

To qualify for the role, you must have

• Bachelor’s degree required; Master’s degree preferred with focus in Computer Science, Applied Math, or related field with prior consulting experience required.
• 5+ years of experience in technology consulting, digital transformation, or AI-driven business solutions.
• 3+ years of leading AI/ML projects, including team management and executive stakeholder engagement.

• Typically, no less than 5 years of relevant experience.
• Strong expertise in AI Platforms and Tools.
• Proficiency in Data Architecture Design and Modelling.
• Experience in Digital Transformation and IT Effectiveness Assessment.
• Knowledge of Emerging Technologies and Technology Strategy, Vision, and Roadmap.
• Ability to build and manage relationships effectively.

• Strong exposure to oil & gas industry operations, value levers, and use case landscape.
• Proven success in developing AI strategy and governance models, including frameworks for Responsible AI, risk, and compliance.
• Hands-on experience with Generative AI frameworks (e.g., OpenAI, Hugging Face, LangChain, RAG).
• Experience architecting and scaling MLOps platforms and data science workflows in cloud-native environments.
• Proficiency in Python and tools like Pandas, PyTorch, Scikit-learn, Spark, SQL.
• Experience with CI/CD, containerization (e.g., Docker, Kubernetes), and MLFlow or similar tools.
• Strong client-facing skills with the ability to articulate technical topics to business executives.

Ideally, you’ll also have

• Experience in managing change and leading teams.
• Strong negotiation and influencing skills.
• Familiarity with sector knowledge and commercial acumen.
• Prior experience leading AI initiatives in the energy or oil & gas sector, including exploration, refining, or energy trading.
• Familiarity with agentic AI concepts, cognitive architectures, and autonomous agents.
• Working knowledge of ESG data, climate risk modeling, and regulatory trends in energy.
• AI certifications (Microsoft, AWS, NVIDIA, Databricks, or equivalent).
• Exposure to agile delivery models and design thinking approaches.

As part of our Transformation Design and Execution (TDE) team, you will work with the senior leadership teams in our key accounts to structure and implement change, as well as creating the capability within our clients to drive change. You will merge your domain experience with program management knowledge to implement and embed improvements and deliver sustainable value.

Our clients are seeking and hiring a new type of Transformation Design expert – one who can integrate a background in energy with the delivery and success of their programs; someone who can talk both the language of consulting and of engineering. Our client stakeholders expect a consultant with strong engineering or process industry experience. Traditional consulting vendors often cannot provide the focused services that our energy clients now demand.

Our insights and capabilities across all portfolio levels in planning, analysis and delivery are integrated into our core offerings, differentiating our services from more traditional program management.

As a Senior Project and Program Delivery specialist, you will be at the forefront of driving business performance through transformational architecture and delivery. You will design and manage the delivery of projects and programs that align with organizational strategy, focusing on achieving desired outcomes. By providing assurance to leadership through managing timelines, costs, and quality, you will play a crucial role in our success.

Your key responsibilities

In this role, you will be responsible for contributing to the delivery of one or more processes, solutions, and/or projects. Your time will be spent on:

• Adopting new technologies and works to figure out how to incorporate into their job, and drive adoption.
• IT Governance experience – ITIL certification, release management, software development

• Defines and executes deliverables.
• Tracks deliverable completion and project status.
• Actively participates in client working sessions and may serve as a team lead.
• You will be expected to travel regularly as needed by external clients and actively participate in client working sessions daily.

Skills and attributes for success

To excel in this role, you will need a combination of skills and experience that make a significant impact. Your expertise in project and program delivery methods, including Agile and waterfall, will be essential. Additionally, you should have:

• Digital transformation experience.
• PMO skills – SAFE Agile certification, knowledge of ADO and how to structure large programs
• Defines and executes deliverables.
• Project Management: Tracks deliverable completion and project status.
• External Client - Interaction Type: Actively participates in client working sessions.
• External Client - Engagement Participation: Workstream member, may serve as a team lead.

To qualify for the role, you must have

• Education requirement: 4-year degree in Engineering, Science, Business or entrepreneurship.

• Experience: At least 2 – 5 years’ experience in the Oil & Gas industry and professional services consulting with Oil & Gas clients.
• A proficiency in technical skills that are crucial for project and program delivery.
• An ability to manage change effectively and adapt to evolving business needs.
• In-depth knowledge in your sector, providing you with the expertise to navigate industry-specific challenges.
• A strategic mindset, with the ability to plan while delivering current projects.
• Familiarity with both hybrid and waterfall delivery methodologies, as well as iterative delivery approaches.
• Skills in structuring programs, mobilizing program teams, and utilizing project and portfolio management tools.
• Competence in defining and governing projects and programs, as well as managing resources, finances, and quality to deliver value.

• Data science. Has helped develop centralized data assets or products, or at least has a good grasp of data science
• PMO skills – SAFE Agile certification, knowledge of ADO and how to structure large programs.
• Entrepreneurial mindset and experiences.

Ideally, you’ll also have

• Exceptional relationship-building skills, enabling you to manage and nurture connections both within and outside the organization.
• A proven ability to earn trust and deliver value to clients, establishing yourself as a reliable and insightful partner.
• Keen commercial awareness, with the acumen to understand and navigate the business landscape effectively.
• Strong communication skills, capable of conveying complex ideas with impact and clarity.
• A talent for solving complex problems, demonstrating creativity and critical thinking in finding solutions.

AI & Data - AI Strategy - Senior Manager - Oil & Gas Sector

As part of our growing AI & Data practice, we are seeking a highly experienced Senior Manager to lead enterprise AI strategy and quantitative modeling efforts for our clients in the Oil & Gas sector. This individual will bring deep industry expertise, along with a proven track record of designing and operationalizing responsible, scalable, and value-aligned AI solutions. You’ll lead high-impact client engagements focused on Generative AI, Agentic AI, MLOps, and AI governance frameworks — driving measurable outcomes in upstream, midstream, and downstream operations.As a Senior Manager in AI Strategy, you will leverage proprietary, industry-aligned business models and innovative operating model designs to deliver impactful AI investments. You will be responsible for capability assessments, operating model design, product management, governance, and process design, ensuring that AI initiatives align with business strategies and stakeholder needs.

Your key responsibilities

In this role, you will lead the delivery of complex AI strategies that enhance business effectiveness and efficiency. You will work closely with clients to envision how AI can transform their markets, products, and capabilities. This position offers the opportunity to engage with business and technology leaders, driving strategic programs that significantly impact their operations.

• Lead engagement delivery, ensuring quality and risk management throughout the project lifecycle.
• Manage client relationships, focusing on revenue generation and the identification of new opportunities.
• Develop and manage resource plans and budgets for engagements, ensuring alignment with performance objectives.
• Define and implement enterprise-wide AI and quantitative modeling strategy tailored to oil & gas value chains (e.g., asset optimization, drilling, trading, predictive maintenance).
• Establish AI governance frameworks that ensure responsible AI adoption, ethical use of data, model risk management, and alignment with evolving regulations.
• Design and operationalize Agentic AI solutions to automate reasoning, planning, and decision-making tasks in complex environments.
• Drive the prioritization of AI use cases based on business value, feasibility, and risk, ensuring ROI on AI initiatives.
• Lead multidisciplinary teams of data scientists, engineers, and consultants to deliver end-to-end AI platforms and solutions.
• Partner with senior business and IT leaders to identify strategic opportunities and shape AI-enabled business transformation.
• Implement and scale ModelOps and MLOps practices, ensuring transparency, reproducibility, and monitoring of models in production.
• Lead AI solution architecture, including hybrid deployments on cloud (e.g. Microsoft Azure, Amazon AWS).
• Serve as a thought leader in emerging AI technologies, including Generative AI, foundation models, RAG and Agentic AI.
• Drive internal capability building and innovation in Responsible AI, agentic workflows, and energy sector-specific solutions .

Skills and attributes for success

To excel in this role, you will need a blend of technical and interpersonal skills. Your ability to navigate complex challenges and deliver innovative solutions will be crucial.

• Strong analytical and decision-making skills to develop solutions to complex problems.
• Proven experience in managing client relationships and leading teams.
• Ability to communicate effectively and influence stakeholders at all levels.

To qualify for the role, you must have

• Bachelor’s degree required; Master’s degree preferred with focus in Computer Science, Applied Math, or related field with prior consulting experience required.
• 10+ years of experience in technology consulting, digital transformation, or AI-driven business solutions.
• 5+ years of leadership in AI/ML projects, including team management and executive stakeholder engagement.

• Typically, no less than 5 - 7 years of relevant experience.
• Strong expertise in AI Platforms and Tools.
• Proficiency in Data Architecture Design and Modelling.
• Experience in Digital Transformation and IT Effectiveness Assessment.
• Knowledge of Emerging Technologies and Technology Strategy, Vision, and Roadmap.
• Ability to build and manage relationships effectively.

• Strong exposure to oil & gas industry operations, value levers, and use case landscape.
• Proven success in developing AI strategy and governance models, including frameworks for Responsible AI, risk, and compliance.
• Hands-on experience with Generative AI frameworks (e.g., OpenAI, Hugging Face, LangChain, RAG).
• Experience architecting and scaling MLOps platforms and data science workflows in cloud-native environments.
• Proficiency in Python and tools like Pandas, PyTorch, Scikit-learn, Spark, SQL.
• Experience with CI/CD, containerization (e.g., Docker, Kubernetes), and MLFlow or similar tools.
• Strong client-facing skills with the ability to articulate technical topics to business executives.

Ideally, you’ll also have

• Experience in managing change and leading teams.
• Strong negotiation and influencing skills.
• Familiarity with sector knowledge and commercial acumen.
• Prior experience leading AI initiatives in the energy or oil & gas sector, including exploration, refining, or energy trading.
• Familiarity with agentic AI concepts, cognitive architectures, and autonomous agents.
• Working knowledge of ESG data, climate risk modeling, and regulatory trends in energy.
• AI certifications (Microsoft, AWS, NVIDIA, Databricks, or equivalent).
• Exposure to agile delivery models and design thinking approaches.

Energy Trading Consulting - Senior Manager

The energy industry is facing unprecedented challenges through volatile energy prices, changes to the geopolitical landscape, supply and demand imbalances, and evolving consumption patterns due to the energy transition. This creates an opportunity for the sector to pivot to a long-term strategy that helps address these challenges. Energy markets will be a critical enabler of an efficient energy transition that includes optimization of supply and modernizing underlying technology to support the transition.

Your key responsibilities

As Energy companies explore opportunities to set up and optimize their energy trading function your role will be to enable this journey, undertaking some or all the following responsibilities:

• Assisting clients with defining their trading technology and data strategy and roadmap
• Assisting clients with designing target state operating models for trading
• Assisting with trading-related business transformation initiatives spanning people, process and technology
• Defining and documenting current and target state trading processes and capabilities across front, middle and back offices (including Trading/Hedging, Logistics, Scheduling, Market Risk, Credit Risk, Settlements and Accounting)
• Assisting with performing benchmarking initiatives to provide comparative insights to peers and identify emerging technology trends / value creation opportunities
• Facilitating ETRM system / vendor selection activities
• Participating in or leading project management activities over system implementations
• Assisting with ETRM implementation activities working closely with stakeholders to define business requirements, functional specifications, and user guides
• Providing training and support to end-users on ETRM systems and processes
• Assisting in the testing and validation of ETRM system implementations and upgrades
• Staying updated with industry trends, regulatory changes, and leading practices in trading and risk management

The purpose of this role is to help position EY for growth within the Energy sector in a rapidly changing market. You will aid in the growth of our energy trading team, author thought leadership material, develop our “Go to Market” strategy, develop sales collateral and solution material to position EY in the market. You will learn about the various competencies and capabilities within EY. You will be a key player in the sales and delivery lifecycle of engagements.

To qualify for the role, you must have:

• A bachelor’s degree in engineering, management information systems, economics, mathematics, finance, or a related field and approximately 8 years of work experience
• Minimum of 5-8 years of experience working within the energy trading sector
• Technical/Functional ETRM and/or other trading system implementation experience
• Knowledge of energy markets such as oil, refined products, natural gas, LNG, and power

• Expertise in several functional areas including front, mid or back office
• Strong understanding of the current solutions in the market and ability to craft a point of view for our clients
• Ability to liaise across various stakeholder groups, including business, front office, and technical teams
• Strategic thinking and solutioning skills to craft a strong value proposition

• Curious mindset and desire to learn and grow
• Strong project management skills and ability to complete multiple tasks in a fast-paced environment
• Strong executive facilitation skills related to strategy development and problem solving
• Exceptional written and oral communication skills on a global basis (including Presentations) as well as listening and interpretation skills
• Willingness to travel up to 60%

Ideally you will also have

• Experience across multiple technology platforms (ION products, SAP Commodity Management, QuorEka, etc.)
• Experience with solution architecture, data architecture, infrastructure performance and/or cost optimization
• SQL, Python or similar languages
• Experience with AWS, Azure and Google Cloud Platform
• Experience with SAP Cloud Platform Integration
• Experience with JAVA, OpenComponents, OpenJVS, OpenAVS and SAP ABAP development
• Strong understanding of trading regulations and related risks and controls impacting trading entities

What we look for

• We are looking for people that are passionate consultants, at the top of their game, but who would like to continue to grow their subject matter expertise and help others around them to grow their potential.

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

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 Senior Manager in Data, Analytics (AI) and Strategy, you will 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 thought leadership, 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.

• 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.

With deep functional and sector expertise, paired with innovative AI-powered technology and an investor mindset, we partner with CEOs, Boards, Private Equity and Governments every step of the way – enabling you to shape your future with confidence.

Skills and attributes for success

• Commercial – as part of the team you will regularly advise businesses on valuations issues with regards to acquisition or divestitures and provide fairness opinions on transactions and restructurings.
• Regulatory and Accounting – you will work with management as part of an acquisition process to understand how the value of acquired intangible and financial assets will impact accounting requirements.
• Taxation – you will regularly undertake valuations for fiscal purposes in the US market and advise clients on all aspects of US tax valuation issues.
• Intangible Assets – within the team you would specialize in the valuation of Intangible assets such as trademarks, brand names, core deposit intangibles, customer relationships, banking and other licenses, patents, technology and know-how.

To qualify for the role, you must have

• A bachelor's degree in finance, economics, accounting or business and at least 2 years of related business valuation work experience; or a graduate degree and approximately 18 months of related work experience.

• Previous Business Valuation experience.
• Financial modeling skills including experience building models from scratch.
• Demonstrated record of solving complex problems and completing challenging projects.
• You must either reside in or be in a commutable distance to your office location for this position.
• The ability and willingness to travel and work in excess of standard hours when necessary. In certain circumstances, travel may be required beyond your work location based on client and project needs.

Ideally, you will have

• Previous valuation experience in professional services/Big 4 Firm.
• Financial modeling experience.
• Achievement of or significant progress towards a CFA.
• ASA/AM designations are a plus with the expectation of one completed designation within a given timeframe.
• Knowledge of how to leverage firm-approved AI tools in a business setting, including Microsoft Copilot.

What we look for

We are looking for candidates who are highly motivated, analytical, logical thinkers with a passion for valuations and have very strong attention to detail. Being a strong team player is critical with the ability to adapt to changing requirements or deadlines in support of our client’s goals.