Overview Location: Anywhre in Country

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.

The opportunity 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

Your key responsibilities As an AI Senior Manager, you will be joining a dynamic and interdisciplinary team of scientists and engineers who love to tackle the most challenging computational problems for our clients. We love to think creatively, build applications efficiently, and collaborate in both the ideation of solutions and the pursuit of new opportunities. Many on our team have advanced academic degrees or equivalent experience in industry.

You will be leading a team working with a wide variety of clients to define, develop and operationalize their AI strategy at scale.

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 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

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 an AI Strategy that aligns with the client’s goals, mission and vision

Leading 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

Applying combined business and technical knowledge to develop and execute ModelOps target architecture

Collaborating with diverse teams and stakeholders to implement AI solutions

Staying abreast of industry trends, technology innovations and AI regulatory requirements

Understanding clients’ data, AI and technology landscape and business priorities

Strong teamwork in a hybrid model (on site and remote)

Experience with large-scale client engagements and delivering quality client services

Effective communication of findings and recommendations

Experience with AI technologies and frameworks

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 (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

A solid understanding of ML workflows including data ingestion, analysis, transformation and evaluation

Experience with MLOps methods and platforms such as MLFlow

Strong Python skills

Experience with CI/CD and test-driven development

Experience designing, building, and maintaining ML models, frameworks, and pipelines

Experience deploying end-to-end ML workflows on at least one major cloud platform

Understanding of data structures, data modelling and software engineering best practices

Proficiency with SQL, Pandas, and Spark

Ability to clearly communicate findings and recommendations

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 for non-technical stakeholders

Demonstrated leadership and project management experience

Team player

Ideally, you’ll also have

Experience leading data science, BI, AI and cloud transformation projects at scale

Familiarity with AI ethics, privacy, and data protection regulatory frameworks

Experience with Agile and/or Scrum

Experience with design thinking

Certifications in Data & AI (Microsoft, Databricks, AWS, NVIDIA, Snowflake)

A deep understanding of and ability to teach AI concepts and tools

Master’s degree in Computer Science, Mathematics, Physical Sciences, or other quantitative field

Skills in languages beyond Python (R, JavaScript, Java, C++, C)

Experience fine-tuning Generative AI models

What we look for

An agile, growth-oriented mindset and the ability to work in a rapidly changing world

Curiosity and purpose-driven approach to opportunities

Inclusivity and openness to diverse perspectives

What we offer you At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams.

Comprehensive compensation and benefits package with base salary ranges and Total Rewards including medical and dental coverage, pension and 401(k), and paid time off

Hybrid model: most client-facing roles are expected to work in person 40-60% of the time

Flexible vacation policy and leave options for holidays, personal/family care, and other needs

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

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

For those living in California, please click here for additional information.

EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.

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 ssc.customersupport@ey.com

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