Data Engineering Manager — AI & Analytics Leader

Ernst & Young Oman; Birmingham (AL); On-site; USD 126,000 - 230,000; Full time

Benefits offered by this job

Hybrid work model

Total rewards package

Paid time off options

Job summary

EY seeks a Data Engineering Manager to design and build AI and analytics solutions that deliver significant business value. You will collaborate with data teams, management, and clients to ensure alignment of technical requirements with business needs and guide data architecture across the lifecycle.

You will lead workstreams, manage resources and budgets, and engage with clients to identify expansion opportunities.

Qualifications

• Bachelor’s degree in relevant fields as listed.
• 4–6 years of relevant experience.
• Experience with Python, R, SQL and data pipelines.
• Cloud computing architectures experience.
• Data architecture, data integration, data security, and data quality.
• Software engineering and building scalable platforms.
• Strong communication and stakeholder management.

Responsibilities

• Design and build AI and analytics solutions delivering business value.
• Collaborate with data science, management, and stakeholders to align requirements.
• Create scalable data architectures supporting the data lifecycle.
• Lead workstreams, manage client sessions and opportunities for additional services.
• Manage resources, budgets and engagement economics.
• Travel as needed.

Skills

Python

R

SQL

Data engineering

Data pipelines

Streaming architectures

Big data

Cloud computing

Data architecture

Stakeholder management

Communication

Education

Bachelor’s degree in Data Science, Machine Learning, CS, Statistics or related

Job description

EY seeks a Data Engineering Manager to design and build AI and analytics solutions that deliver significant business value. You will collaborate with data teams, management, and clients to ensure alignment of technical requirements with business needs and guide data architecture across the lifecycle.

You will lead workstreams, manage resources and budgets, and engage with clients to identify expansion opportunities.