AI Strategy Lead — Data & ML Consulting

EY; Palo Alto (CA); Hybrid; USD 157,000 - 262,000; Full time

Benefits offered by this job

Medical and dental coverage

Pension and 401(k) plans

Paid time off options

Job summary

EY seeks an AI Manager to lead the development and execution of AI strategies for clients, sitting with interdisciplinary teams to deliver scalable data science and AI solutions. You will partner with data scientists, AI engineers, and cloud specialists, guiding ModelOps and governance across engagements.

The role offers hybrid work in the US, with compensation aligned to the Bay Area market ranges and a strong focus on delivering high-quality client services on time and within budget.

Qualifications

• Bachelor’s degree or MS in Business or Economics, Technology Entrepreneurship, Computer Science, Informatics, Statistics, Applied Mathematics, Data Science, or Machine Learning.
• Minimum of 5 years of professional consulting experience in business or technology consulting or similar roles.
• Experience with Generative AI models and frameworks (OpenAI, LLMs, Dall-e, Langchain, RAG).
• Experience with ML packages such as scikit-learn, PyTorch and ONNX.
• Strong Python skills; CI/CD and test-driven development experience.

Responsibilities

• Lead the development and execution of AI strategies for clients.
• Guide cross-functional teams to deliver scalable AI and ML solutions.
• Collaborate with data scientists, cloud engineers, and DevOps to implement and sustain client solutions.
• Provide strategic guidance on ModelOps and AI governance.

Skills

Strong analytical skills

Excellent communication

Team player

Willingness to travel

Education

Bachelor’s degree or MS in relevant field

Tools

Python

CI/CD

MLFlow

scikit-learn

PyTorch

ONNX

LangChain

Job description

EY seeks an AI Manager to lead the development and execution of AI strategies for clients, sitting with interdisciplinary teams to deliver scalable data science and AI solutions. You will partner with data scientists, AI engineers, and cloud specialists, guiding ModelOps and governance across engagements.

The role offers hybrid work in the US, with compensation aligned to the Bay Area market ranges and a strong focus on delivering high-quality client services on time and within budget.