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

EY • Clayton, MO

93d • $144,000 - $329,100

About The Position

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. EY delivers unparalleled cross functional tech consulting services in artificial intelligence, big data and cloud engineering. We always support and enable big ideas with the ambition to keep doing more. We leverage leading practices and a high degree of business acumen that has been compiled over years of experience to ensure the highest level of execution and satisfaction for our clients. Our Artificial Intelligence and Data team helps apply cutting edge technology and techniques to bring solutions to our clients. As part of that, you’ll sit side-by-side with clients and diverse teams from EY to create a well-rounded approach to advising and solving challenging problems, some of which have not been solved before. Come help define the future of AI. EY is significantly investing in their award-winning AI & Data practice. As a Risk AI & Analytics Senior Manager, you will help our clients develop and realize their ambition to leverage AI at scale and drive better business outcomes, 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. Your teams will design and build scalable solutions that unify, enrich, and derive insights from varied data sources across a broad technology landscape. You will help our clients navigate the complex world of modern data science, analytics, and software engineering, with a deep understanding of internal audit, internal controls, and compliance. This is a high growth area and a high visibility role with plenty of opportunities to enhance your skillset and build your career. We are looking for leaders at the intersection of Artificial Intelligence strategy and the scaling of AI and Machine Learning Operations capabilities.

Requirements

• 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.

Nice To Haves

• 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 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.

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 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.

Benefits

• Comprehensive compensation and benefits package.
• Base salary range for this job in all geographic locations in the US is $144,000 to $329,100.
• Base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $172,800 to $374,000.
• Medical and dental coverage.
• Pension and 401(k) plans.
• Wide range of paid time off options.
• Flexible vacation policy.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Master's degree
• Number of Employees: 5,001-10,000 employees