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

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Location: Anywhere in Country.

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Tech Consulting, AI & Quantitative Modeling, Risk AI and Analytics Senior Manager

EY delivers unparalleled cross‑functional tech consulting services in artificial intelligence, big data and cloud engineering.

As part of our Artificial Intelligence and Data team, 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.

The Opportunity

EY is significantly investing in its 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, 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.

Your Key Responsibilities

• Lead a team working with a wide variety of clients to define, develop, and operationalize AI strategy at scale, with focus on risk consulting.
• Develop and execute a comprehensive AI strategy aligned 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.
• Stay abreast of AI technology trends and provide guidance around ModelOps tools and solutions that fit client needs and integrate with existing ecosystems.
• Apply combined business and technical knowledge to develop and execute ModelOps target architecture enabling AI implementation and monitoring at scale.
• Collaborate with diverse teams and stakeholders to implement and maintain solutions in the client’s platform or integrate AI solutions into client ecosystems.
• Stay informed on industry trends, technology innovations, and AI regulatory requirements across the globe.
• Understand clients’ overall data, AI, and technology landscape and business priorities and success measures.
• Strong team collaboration and experience working with diverse teams in a hybrid model (on site and remote).
• Work on large‑scale client engagements, fostering relationships with client personnel at appropriate levels.
• Consistently deliver high‑quality client services, driving high‑quality work products within expected timeframes and budgets.
• Build consensus through constructive relationships and effective listening.
• Incorporate data into decision making.

Qualifications

• Bachelor’s degree or MS in Business, 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 (finance and operations).
• 8–10+ years of professional consulting experience in business or technology consulting.
• 3–5+ years of experience directly managing technical teams and/or consulting teams.
• Experience with Generative AI models and frameworks (OpenAI family, open‑source LLMs, DALL‑E, LlamaIndex, LangChain, RAG).
• Experience with ML packages (scikit‑learn, PyTorch, ONNX).
• Experience with DevOps tools (Git, Azure DevOps, Jira).
• Strong understanding of ML workflows, data ingestion, analysis, transformation, evaluation.
• Experience with MLOps platforms (MLFlow).
• Strong Python skills.
• Experience with CI/CD and test‑driven development.
• Experience designing and maintaining end‑to‑end ML pipelines.
• Experience deploying ML workflows on a major cloud platform.
• Proficiency with SQL, Pandas, Spark.
• Excellent analytical, problem‑solving, and communication skills.
• Willingness to travel as required.

Ideal Additional Experience (Not required but beneficial)

• Leading business or IT transformation projects supporting data science, AI, and cloud at scale.
• Familiarity with AI ethics, privacy, and data protection standards.
• Experience with Agile and/or Scrum.
• Experience with design‑driven thinking.
• Certifications in Data & AI domain (Microsoft, Databricks, AWS, NVIDIA, Snowflake).
• Strong skills beyond Python (R, JavaScript, Java, C++, C).
• Experience fine‑tuning Generative AI models.

What We Look For

• Agile, growth‑oriented mindset.
• Curiosity and purpose‑driven approach.
• Inclusion and diversity mindset.

What We Offer

• Competitive base salary range for the US: $144,000–$329,100.
• Unrestricted paid vacation and flexible vacation policy.
• Hybrid work environment with 40–60% onsite.
• Medical, dental, pension, 401(k), and other benefits.

Are you ready to shape your future with confidence?

Apply today. EY accepts applications on an ongoing basis.

Equal Employment Opportunity Statement

EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity, pregnancy, genetic information, national origin, veteran status, disability status, or any other legally protected basis. EY is committed to providing reasonable accommodation to qualified individuals with disabilities.