Data Engineering Manager: AI & Platform Leadership

EY; San Francisco (CA); Hybrid; USD 126,000 - 262,000; Full time

Benefits offered by this job

Hybrid work model

Flexible vacation policy

Medical and dental coverage, pension &

401(k) plans

Job summary

EY is seeking a data analytics leader in the US to design and deploy AI-enabled analytics platforms. You will collaborate with data scientists, engineers, and management to align technical solutions with business goals.

The role emphasizes scalable data architectures, cross-functional teamwork, and delivering measurable business value through AI-driven insights. Hybrid work and a comprehensive rewards package are offered.

Qualifications

• Bachelor’s degree in a relevant field (data science, ML, CS, statistics, math, eng, analytics)
• Typically 4–6 years of relevant experience
• Hands-on with Python, R, SQL, data pipelines, and big data ecosystems
• Cloud computing architecture, data security, and data integration experience

Responsibilities

• Lead workstream delivery and ensure quality across processes.
• Engage with clients daily, participate in working sessions, identify opportunities for additional services.
• Plan resources and budgets while managing engagement economics.

Skills

Data storytelling

Cross-functional leadership

GenAI tooling

Problem solving

Communication

Analytical thinking

Stakeholder management

Project delivery

Education

Bachelor’s degree in Data Science, ML, CS, Statistics, Mathematics, Engineering, Analytics, or related

Tools

Python

R

SQL

Cloud platforms

LLMs / GenAI tooling

Job description

EY is seeking a data analytics leader in the US to design and deploy AI-enabled analytics platforms. You will collaborate with data scientists, engineers, and management to align technical solutions with business goals.

The role emphasizes scalable data architectures, cross-functional teamwork, and delivering measurable business value through AI-driven insights. Hybrid work and a comprehensive rewards package are offered.