Data Engineering Manager — AI & Analytics Leader

EY; Salt Lake City (UT); Hybrid; USD 126,000 - 230,000; Full time

Benefits offered by this job

Medical and dental coverage

Pension and 401(k) plans

Paid time off

Job summary

EY is seeking a data-centric leader to design and deliver AI- and analytics-driven platforms. You will collaborate with data scientists, engineers, and management to align technical requirements with business goals across client engagements.

You will build scalable data architectures, manage cross-functional teams, and ensure successful projects while navigating ambiguity and evolving client needs. Travel may be required in client engagements.

Qualifications

• Bachelor’s degree required in Data Science, ML, CS, Statistics, Mathematics, Engineering, Analytics, or related field.
• Typically, no less than 4-6 years relevant experience.
• Hands-on experience developing scalable data solutions using Python, R, and SQL, with expertise in data engineering, data pipelines, streaming architectures, and big data ecosystems.
• Cloud Computing Architecture
• Data Architecture Design and Modelling

Responsibilities

• Leading workstream delivery and ensuring quality in all processes.
• Engaging with clients on a daily basis, actively participating in working sessions, and identifying opportunities for additional services.
• Implementing resource plans and budgets while managing engagement economics.

Skills

LLMs / GenAI tooling

Cross-functional collaboration

Project management

Data analysis

Effective communication

Education

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

Tools

Python

R

SQL

Cloud platforms

Job description

EY is seeking a data-centric leader to design and deliver AI- and analytics-driven platforms. You will collaborate with data scientists, engineers, and management to align technical requirements with business goals across client engagements.

You will build scalable data architectures, manage cross-functional teams, and ensure successful projects while navigating ambiguity and evolving client needs. Travel may be required in client engagements.