Data Engineering Manager – AI & Analytics Platforms

Ernst & Young Oman; Memphis (TN); Hybrid; USD 126,000 - 230,000; Full time

Benefits offered by this job

Medical and dental coverage

Pension and 401(k) plans

Flexible vacation policy

Hybrid work model

Job summary

EY in the US is seeking a Data Engineering Manager to lead delivery of AI-enabled data platforms. You will design scalable data architectures, manage cross-functional teams, and work closely with clients to translate requirements into production-grade pipelines.

This hybrid role offers 40-60% in-person collaboration, a strong Total Rewards package, and opportunities to grow in a globally connected, diverse environment.

Qualifications

• Bachelor’s degree in Data Science, Machine Learning, Computer Science, Statistics, Mathematics, Engineering, Applied Math, Analytics, or related preferred.
• 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.
• Data Integration.
• Data Security.
• Ontology Design.
• Software Engineering.
• Data Quality.
• Database Management.
• Semantic Layer.
• Building and Managing Relationships.
• Client Trust and Value.
• Communicating With Impact.
• Hybrid Collaboration.
• Commercial Acumen.
• Leading Teams.
• Managing Change.
• Experience leading and growing technical talent (for software engineering managers).
• Experience in managing change effectively.
• Experience with advanced data analytics tools and techniques.
• Familiarity with machine learning concepts and applications.
• Knowledge of industry trends and best practices in data engineering.

Responsibilities

• Lead data engineering workstreams and ensure quality across processes.
• Engage with clients daily, identifying opportunities for additional services.
• Implement resource plans and budgets while managing engagement economics.

Skills

Python

SQL

R

Data engineering

Cloud computing

Data architectures

GenAI tooling

Stakeholder management

Project delivery

Communication

Education

Bachelor’s degree in Data Science/ML/CS/Statistics/Engineering

Tools

Streaming architectures

Big data ecosystems

Ontology design

Job description

EY in the US is seeking a Data Engineering Manager to lead delivery of AI-enabled data platforms. You will design scalable data architectures, manage cross-functional teams, and work closely with clients to translate requirements into production-grade pipelines.

This hybrid role offers 40-60% in-person collaboration, a strong Total Rewards package, and opportunities to grow in a globally connected, diverse environment.