In today's business landscape organizations are continuously transforming and evolving to keep pace with change and innovative solutions. This wave of digital transformation and constant evolution introduces a variety of risks, which organizations are not equipped to manage and mitigate on their own. As a professional in our Risk Technology practice, you will assist clients in integrating optimal application security, control, and risk management solutions through their transformation journey. You will belong to an international network of specialists helping our clients enable trust through transformation, while working closely with large scale implementation teams across a variety of enabling emerging technologies and solutions.

As a member of our national Risk Technology practice, you will belong to a network of professionals helping our clients implement trusted technology solutions to enrich and improve decision making, provide visibility and transparency of risk and compliance to stakeholders, and integrate efficient and effective risk management solutions.

As our Risk Technology practice continues to rapidly expand, we are seeking a highly motivated Senior Associate, focused on cloud-based application security, controls, and technology enablement. We need Seniors to help our clients develop and execute sustainable risk management solutions through transformational their efforts. As part of the team, you will work with a wide variety of resources and clients to deliver professional services on strategic and global priority accounts, while accelerating your professional growth.

We will support you with career focused training and coaching to develop, execute, and accelerate your professional goals.

Your key responsibilities

Leveraging your cloud application and industry knowledge, you will lead cross-functional teams in developing innovative solutions for clients that will assist them in evolving and sustaining a risk management program through transformation. You will support EY teams responsible for transforming organizations' front, middle, and back office through implementation of leading practice cloud-based technology solutions.

Skills and attributes for success

• You will leverage your proven track record of cloud-based application experience, technical knowledge, and strong interpersonal skills, to effectively deliver quality results in the assessment, design, and implementation of controls, security, and risk management solutions.
• Deliver facts, analyses, and recommendations in an accurate, clear, and concise manner.
• Foster relationships with client personnel at appropriate levels
• Drive high-quality work products on your team within expected timeframes and budget

To qualify for the role, you must have

• A bachelor’s or master’s degree and approximately 2-3 years of related work experience
• Demonstrate a deep understanding of business processes across one or many cloud base applications (e.g., purchase-to-pay, hire-to-retire, customer-to-contract), technical application security design and configuration, application role maintenance and user provisioning processes.
• Internal controls within and around the Oracle or cloud-based applications
• Oracle Applications security and how to achieve a design that enables an end user but also establishes control.
• Advanced project management and client service skills
• Excellent teaming skills
• A valid driver’s license in the US and a valid passport required; willingness and ability to travel both domestically and internationally to meet client needs

Ideally, you’ll also have

• Experience integrating, managing, or assessing security and controls for cloud-based applications.
• ERP implementation project management and support experience (Oracle and/or Workday experience is a plus)
• Industry related certification (e.g., CISA, PMP, CIA, RICS); non-certified hires are required to become certified within 1 year from the date of hire

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 an Asset Health Data Analyst at either the Senior Consultant or Manager rank, you will design, build and implement scalable data solutions that drive significant business value for our asset intensive clients. Collaborating closely with other data and analytics professionals, program teams, management, and stakeholders, you will play a pivotal role in the analytics landscape to help our clients in addressing their asset health and maintenance challenges. Your experience will enable you to comprehend and dissect business requirements, translating them into precise technical specifications. You will serve as a vital link between business stakeholders and technical teams, ensuring that the development process aligns seamlessly with the intended design and objectives.

In line with client requirements, highly desirable would-be familiarity with asset management and health experience of fixed plant equipment (e.g., conveyor belts, screen houses) or mobile equipment (e.g., drills, loaders, haul trucks, light vehicles).

In line with client requirements this role is based in our

Your key responsibilities

• Working with asset health datasets and the ability to join and connect key datasets together (e.g. notifications / workorders, equipment sensors, failures) to help interconnection of information from different systems.
• Navigating gaps in data quality and developing options to improve the health of the asset both in the short term and long term.
• Conduct data-driven equipment failure investigations, failure modes analysis, failure symptoms monitoring and identify data required to assist with the investigation.
• Be able to clearly explain key insights, strengths and weaknesses of data analysis options to both technical and senior business stakeholders.
• As required, coordinate the work of junior colleagues or team members to ensure structure and focus on achieving team goals.

Skills and attributes for success

• Experience with equipment failure investigations and understanding of what data will be required to assist with the investigation.
• Knowledge in understanding reliability engineering concepts and operational challenges in mining (i.e. condition based monitoring, equipment / asset strategies, mine site operating conditions).
• Knowledge with data pipeline development, including familiarity of various technologies across time-series data historians (e.g. AVEVA PI) and cloud data platforms (e.g. Databricks, Azure, AWS).
• Proficiency and demonstrated experience in transformation of large complex data sets from source systems to target platforms (experience in Azure and AWS based solutions using one or more data engineering or data platform technologies required)
• Evidence of experience in modern development practices including use of code repositories, code review processes, and test frameworks.

Ideally, you’ll also have the skills and attributes below, but don’t worry if you don’t tick all the boxes. We’re interested in your aptitude, attitude and willingness to learn.

• Ability to introduce innovative ways of organising, managing and integrating data to ensure its quality and ability to be used as a distinctive asset to generate a return.
• Leads by example and models behaviours that support a culture of safety, health and wellness.
• Excellent communication skills, and the ability to communicate and present information with purpose, clarity and impact

What we offer you

At EY, we’ll fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn .

• Career development: At EY, your career is yours to shape! We’ll develop you with future-focused skills and equip you with world-class experiences
• Flexible work arrangements: Our flexible work policies empower you to balance your professional and personal life, fostering a culture of trust and autonomy.
• A comprehensive benefits package : From a yearly wellness incentive, to access to additional 8 weeks of flex leave per year, and family-friendly policies, including 26 weeks of gender-neutral paid parental leave, we cater to your diverse needs to help you thrive both personally and professionally

Acknowledgement of Country

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.

Your key responsibilities

As a Director with EY-Parthenon's Strategy and Execution Supply Chain practice, you'll have the opportunity to work with some of the most innovative supply chain organizations in the world, and you'll work across the entire transaction lifecycle (pre-sign diligence, sign-to-close planning, post-close execution, etc.) of the most complex integrations (M&A) and divestitures. Moreover, you'll have the opportunity to help our clients solve complex supply chain problems, developing innovative solutions that transform the supply chain, improving performance and resiliency across the plan, source, make, deliver/return functions of the supply chain.

Skills and attributes for success

• Business and Commercially Driven - work in a fast-paced, exciting environment with strong business acumen to drive value to our clients.
• Capability Development - contribute to our practice development initiatives, supporting the continued focus on our team as a great place to work.
• Learning - learn and develop technical and personal skills to support achievement of career goals, through a blend of structured learning, coaching and experiences.
• Building Relationships - cultivate strong working relationships with clients and support to key decision makers.

To qualify for the role, you must have

• A bachelor's degree in Business, Accounting, Finance, Supply Chain, Operations, Engineering, Analytics, or related field and 5 years of related work experience; or a graduate degree and approximately 3 years of related work experience.
• MBA is preferred.
• Significant management consulting experience.
• Proven expertise in direct materials sourcing, planning / inventory, and/or logistics to optimize supply chain performance and drive strategic initiatives.
• Excellent analytical skills and the confidence to translate complex data into meaningful insights.
• Experience in business integrations, divestitures, and/or carve-outs with a demonstrated aptitude for quantitative and qualitative analysis.
• Experience leading and managing in complex business environments.
• The ability to prioritize effectively on projects and the skills to adapt quickly to new challenges and concepts.
• Excellent negotiation and influencing skills, and the ability to develop long-lasting relationships both internally and externally.

• 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

• Knowledge of how to leverage firm-approved AI tools in a business setting, including Microsoft Copilot.

What we look for