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

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Location: Anywhere in Country

EY delivers unparalleled cross‑functional tech consulting services in artificial intelligence, big data and cloud engineering. As part of the EY Risk AI & Analytics practice, you will lead a team that defines, develops, and operationalizes clients’ AI strategy at scale, with a specific focus on risk consulting. You will work with a wide variety of clients to deliver the latest data science and big data technologies, designing and building scalable solutions that unify, enrich, and derive insights from varied data sources across a broad technology landscape. This is a high‑growth area and a high‑visibility role with plenty of opportunities to enhance your skillset and build your career.

Responsibilities

• Leading 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.
• Developing and executing a comprehensive AI strategy that aligns with the client’s goals, mission and vision.
• Leading teams of AI engineers and data scientists in delivery of modern Machine Learning 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.
• Applying combined business and technical knowledge to develop and execute ModelOps target architecture that enables implementation and monitoring of AI at scale.
• Collaborating with diverse teams and stakeholders (Data Scientists, Data Engineers, Cloud Engineers, MLOps Engineers, DevOps, Internal Auditors, External Auditors, etc.) to implement and maintain solutions in the client’s platform of choice 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 and 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.

Qualifications

• 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 (both finance and operations).
• 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.

Benefits

• 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.

Apply Today

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

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

Equal Opportunity Employer

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