Data Engineering Manager: AI & Analytics Leader

EY; Dallas (TX); Hybrid; USD 126,000 - 230,000; Full time

Benefits offered by this job

Hybrid work model

Paid time off

Medical and dental coverage

Job summary

EY is seeking a Data Engineering Manager to lead complex data initiatives and AI-enabled analytics for diverse clients. You will design scalable data architectures, own data pipelines, and guide cross-functional teams across technical and business stakeholders.

Responsibilities include leading workstreams, engaging with clients, and managing budgets while delivering production-ready solutions. Hybrid client-facing role with travel as required.

Qualifications

• Bachelor’s degree in a quantitative field is required.
• 4–6 years of relevant experience in data engineering or analytics.
• Hands-on experience building scalable data pipelines and platforms.

Responsibilities

• Lead data engineering workstreams and ensure delivery quality.
• Collaborate with clients and internal teams to define requirements.
• Manage resources, budgets, and engagement economics.

Skills

Stakeholder management

GenAI tooling

Cross-functional collaboration

Ambiguity handling

End-to-end data product

Production-ready code

Analytical thinking

Communication

Project delivery

Relationship building

Education

Bachelor’s degree in Data Science, Machine Learning, Computer Science, Statistics, Mathematics, Engineering, Applied Math, Analytics, or related preferred

Tools

Python

R

SQL

Job description

EY is seeking a Data Engineering Manager to lead complex data initiatives and AI-enabled analytics for diverse clients. You will design scalable data architectures, own data pipelines, and guide cross-functional teams across technical and business stakeholders.

Responsibilities include leading workstreams, engaging with clients, and managing budgets while delivering production-ready solutions. Hybrid client-facing role with travel as required.