🚀 Risk AI & Engineering - Senior Manager - Consulting - Location Open

Risk AI & Engineering - Senior Manager - Consulting - Location Open at EY

Location: Anywhere in Country

Overview

EY delivers unparalleled cross‑functional tech consulting services in artificial intelligence, big data and cloud engineering. We support clients with cutting‑edge technology and techniques, helping them build scalable solutions that unify, enrich, and derive insights from varied data sources across a broad technology landscape. As a Risk AI & Analytics Senior Manager, you will partner with clients to develop and realize their ambitions to leverage AI at scale, focusing on risk consulting.

The opportunity

This is a high‑growth area and a high‑visibility role with opportunities to enhance your skill set and build a career. We are looking for leaders at the intersection of AI strategy and the scaling of AI and Machine Learning Operations capabilities.

Your Key Responsibilities

• Lead a team working with a wide variety of clients to define, develop, and operationalize their AI strategy at scale, with a focus on risk consulting.
• Develop and execute a comprehensive AI strategy that aligns with the client’s goals, mission, and vision.
• Lead teams of AI engineers and data scientists in delivery of modern ML and AI solutions for clients.
• Staying abreast of AI technology trends and provide directional guidance and recommendations around ModelOps tools and solutions that fit their needs and integrate with their existing ecosystem.
• Apply combined business and technical knowledge to develop and execute ModelOps target architecture that enables implementation and monitoring of AI at scale.
• Collaborate with diverse teams and stakeholders to implement and maintain solutions in the client’s platform of choice and or integrate AI solution into client’s ecosystem.
• Staying abreast of industry trends, technology innovations and AI regulatory requirements across the globe.
• Understanding clients’ overall data, AI and technology landscape and business priorities and success measures.
• Strong team collaboration and experience working with a diverse team in a hybrid model (on site and remote).
• Working on large‑scale client engagements. Fostering relationships with client personnel at appropriate levels. Consistently delivering quality client services. Driving high‑quality work products within expected timeframes and on budget.
• Collaborating, influencing and building consensus through constructive relationships and effective listening.
• Solving problems by incorporating data into decision making.

Skills And Attributes For Success

• Consistently deliver quality client services focusing on more complex, judgmental and/or specialized issues surrounding emerging technology.
• Demonstrate technical capabilities and professional knowledge.
• Strong team collaboration and experience working with a diverse team in a hybrid model (on site and remote).
• Working on large‑scale client engagements. Fostering relationships with client personnel at appropriate levels. Consistently delivering quality client services. Driving high‑quality work products within expected timeframes and on budget.

To qualify for the role, you must have

• Bachelor’s degree, or MS degree in Business or Economics, Technology Entrepreneurship, Computer Science, Informatics, Statistics, Applied Mathematics, Data Science, or Machine Learning.
• Experience interacting with and designing solutions for internal audit, internal controls, compliance, and business processes.
• Minimum of 8‑10+ years of professional consulting experience in business or technology consulting or similar roles.
• Minimum of 3‑5+ years of experience directly managing technical teams and/or consulting teams.
• Experience using and managing the deployment of Generative AI models and frameworks, e.g., OpenAI family, open source LLMs, Dall‑e, LlamaIndex, Langchain, Retrieval Augmented Generation (RAG).
• Experience working with popular ML packages such as scikit‑learn, PyTorch, and ONNX, or related ML libraries.
• Extensive experience using DevOps tools like GIT, Azure DevOps and Agile tools such as Jira to develop and deploy analytical solutions with multiple features, pipelines, and releases.
• A solid understanding of Machine Learning (ML) workflows including ingesting, analysing, transforming data and evaluating results to make meaningful predictions.
• Experience with MLOps methods and platforms such as MLFlow.
• Strong skills in Python.
• Experience with CI/CD and test‑driven development.
• Experience designing, building, and maintaining ML models, frameworks, and pipelines.
• Experience designing and deploying end‑to‑end ML workflows on at least one major cloud computing platform.
• Understanding of data structures, data modelling and software engineering best practices.
• Proficiency using data manipulation tools and libraries such as SQL, Pandas, and Spark.
• Clearly communicating findings, recommendations, and opportunities to improve data systems and solutions.
• Experience with containerization and scaling models.
• Willingness to travel to meet client obligations.
• Strong knowledge of AI technologies and frameworks.
• Excellent analytical, problem‑solving, and communication skills, with the ability to articulate complex technical concepts to non‑technical stakeholders.
• Demonstrated leadership and project management experience, with the ability to lead multidisciplinary teams and drive successful outcomes.
• Team player.

Ideally, you’ll also have

• Experience in leading business or IT transformation projects that have supported data science, business intelligence, artificial intelligence, and cloud applications at scale.
• Familiarity with regulatory frameworks and standards related to AI ethics, privacy, and data protection.
• Working experience with Agile and/or Scrum methods of delivery.
• Working experience with design‑led thinking.
• Microsoft, Databricks, AWS, NVIDIA or Snowflake Certifications in the Data & AI domain.
• A deep understanding of and ability to teach concepts, tools, features, functions, and benefits of different approaches to apply them.
• Master’s degree in Computer Science, Mathematics, Physical Sciences, or other quantitative field.
• Strong skills in languages beyond Python: R, JavaScript, Java, C++, C.
• Experience fine‑tuning Generative AI models.

What We Look For

• You have an agile, growth‑oriented mindset. What you know matters. But the right mindset is just as important in determining success. We’re looking for people who are innovative, can work in an agile way and keep pace with a rapidly changing world.
• You are curious and purpose driven. We’re looking for people who see opportunities instead of challenges, who ask better questions to seek better answers that build a better working world.
• You are inclusive. We’re looking for people who seek out and embrace diverse perspectives, who value differences, and team inclusively to build safety and trust.

What We Offer You

• 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 $144,000 to $329,100. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $172,800 to $374,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, 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. Our expectation is for most people in external, client serving roles to work together in person 40‑60% of the time over the course of an engagement, project or year.
• Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well‑being.

Are you ready to shape your future with confidence? Apply today.

EY accepts applications for this position on an on-going basis.

EY | Building a better working world

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi‑disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at